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Shaun Frankson, The Plastic Bank & Alan Dickinson, IBM | Open Source Summit 2017


 

>> Live from Los Angeles, it's theCube covering Open Source Summit North America 2017 brought to you by the Linux Foundation and Red Hat. >> Hey welcome back everyone, live here at Los Angeles, California it's theCUBE's exclusive coverage of the Open Source Summit in North America. I'm John Furrier, your host with my co-host Stu Miniman with Wikibon, and our next two guests, Alan Dickenson who is the program director of the blockchain platform at IBM and Shaun Frankson, who's the co-founder and TED speaker at a company called The Plastic Bank doing some truly amazing things with technology for the betterment of society and communities. We'll get this out in a second. Guys, welcome to theCUBE. >> Thanks for having us. >> So two important things honestly. IBM, well-known in the history books that's being written. Real proponent of Linux, they were one of the early guys in during that movement, with a billion dollars in cash. That's a big number. You guys went all in on Linux, good bet, Linux was successful, it's now the standard so congratulations. Now you have the same thing going on with Blockchain. IBM's got the big bet, the company's best brains at work working on blockchain, kind of reminds me of the Linux move back in the day. Pretty impressive. >> Yeah I mean, there's a lot going on with Blockchain and one of the reasons we're here is that this is a developer event. We really want to help accelerate technology adoption and with our platform we launched two weeks ago, we have a whole suite of capabilities that developers can use that's complimentary, that's free and they can use that to go and try blockchain with a Hyperledger Composer and they can experiment and work on blockchain projects. >> You know I love the IBM marketing department, they always have the best commercials. To me I also love the Smarter Planet and I think Shaun, I would like to give you a chance to talk about your amazing project you have going on. Take a minute to explain, you're up on stage here at the event, pretty compelling, great social good, real value. What's some tech behind it. Take a minute to talk about your work. >> At The Plastic Bank we make plastic waste a currency so in developing countries it can be too valuable to enter the ocean. So the mission to use technology to stop ocean plastic. So we create a recycling ecosystems all around the world where people can go out, recycle the plastic that's abundant in the environment, they can earn enough value to provide for their families, send their kids to school and we have this entire ecosystem where we gather the plastic, we have these incentive programs to sort it, recycle, then we actually sell it back to some of the world's largest corporations who can use that recycled social plastic in their products instead of using new plastic. Which means that every single product tells a story of stopping ocean plastic, reducing global poverty and this really allows just a responsible consumer to make a choice that's helping to stop ocean plastic in the end. >> Well great story I just want to drill down because this highlights couple of big trends we've seen in the Internet business as it got into Big Data. And certainly you guys know a lot about that at IBM. The collective intelligence idea of having these self-forming communities, you think of any problem. Recycling plastic, which is not that hard to do, you go to the placement. How do you get it institutionalized? Is the collective intelligence problem. So you got a clever idea to do this but you also have to support it. There's a lot of cost involved so how did you pull this together? What were some of the nuance to keep the incentives, to keep the motivation, to create the payouts. We all recycle our cans for five cents at some points in our lives, I remember when I was in college it helped me a lot. But it's a whole other scale here. Take a minute to talk about the technology. >> For sure. So we're starting in developing countries that essentially have almost no existing waste management systems so we're really starting from the ground and looking at the way of how do we remove the dangers of the cash-based systems, instead have an asset-backed token that we can safely distribute and create new abilities. So really we're dealing with the unbankable who can now for the first time, save and earn through recycling. So it's not really not looking of how do we go back to you know, what's been done in the past, it's how do we take an area and start with the best technology that exists to safely bring in these new systems. >> When you say unbankable, what does that mean? >> I mean sadly, but most of the world does not qualify for a bank account. They don't have the identity, they don't have the credit history, so it's simple concept of how do you save 200 dollars to send your kid to school. You essentially hide it under a mattress and hope that nothing happens in between. But when you can safely have a digital wallet, it's just instant savings. >> Mobile phone penetration is pretty high in these areas, so they might have mobility but no actual institutional credit bank account, am I getting that right? >> Oh exactly. It's amazing when we think there's countries with no power but who have phones. So that means the education of the mobile payments is still there, it's not a foreign concept, but now you can earn the tokens which can then even be converted into mobile payment. Again where recycling is the equal opportunity. >> So are you using the blockchain component, IBM blockchain, or are you guys using a derivatives, what's the tech? >> So we use IBM blockchain, Hyperledger Fabric and LinuxOne and you know it's a system designed to scale around the world without any interruptions and just it's a go big go at home and do it right. >> You mentioned LinuxOne and I believe there's some announcements week around how to secure containers even more and we've been trying LinuxOne, Linux on the mainframe for quite a few years. Give us the update on what's new. >> One of the new things that we're announcing at this year's show is Emperor II. It's a new Linux platform and it's the technology that's underpinning The Plastic Bank's blockchain. The other thing that we're announcing is the beta for Secure Services Containers. Around the globe we have a lot of cases where data is stolen and blockchain's another type of data, we don't want it to get stolen even though there's a lot of encryption in blockchain. We still don't want the data stolen and people trying to get at it. So we have this idea of Secure Service Containers that kind of wraps around the application and protects it from malware, protects it from insiders, can't see it, insider credentials get compromised, goes into the main ways, data gets stolen. You have to do it that way. Even if IBM gets a court order for us to reveal your blockchain data, we can't do it. It's protected and encrypted in this area, and only you have the encryption keys. So the beta for that is something we also announced today. And then two weeks ago we announced the blockchain platform, it's kind of a technology that we put in place to accelerate and help people. >> Security is a huge issue, I mean the ICO marker for instance, remind me of the old stagecoach robberies, right. You literally do like a multimillion dollar ICO, completely a secured, when you're getting your wallet getting snatched, you're getting hijacked, is that something that is related to that? Or is that just a point of the security is still an open book? I mean you can have secure transactions on the blockchain but you still got your wallets out there, so you got to have a wallet strategy. >> Most of the Secure Container technology can be used for any Linux application that you run when it's out of beta. Right now it's in beta. So we're looking for users that want to have a very secure application environment, running on Linux and sign then up for our beta. >> Shaun can you tell us, what led you to this solution? I'm sure security has got to be high on your list, the kind of financial transactions that are involved in it, but I have to say a young small company, mainframe is not the initial thing that we think of. >> Again, the only way to solve the global problems is really go on such a scale that we can have hundreds of millions of pounds provided to the world's largest companies. Which just means it's got to be large scale, no interruptions and for us, trust is the biggest thing. Investor trust, client trust, and just even everyone's trust that not only the financial side, but you know we're delivering a promise of social good, environmental justice, that if we get an irrefutable trust that it's just the right system, and to me, blockchain's a trust stamp, IBM's a trust stamp, LinuxOne is a trust stamp that just it's the right way to do it on a global scale. And for us it was global was the only way to go. >> And now of course, the supply chain is a channel that you're dealing with that blockchain is a good fit for. A lot of these early use cases, their supply chain like, well you got to keep track of a lot of moving parts and who's contributing to what. >> You can have a digital token that represents the physical asset and you can kind of track it through that way and blockchain can keep the information safe and documented so that you don't lose track of the value. >> Well we're super excited. As you know, we're looking at blockchain for our audience and our world, so it's interesting, a lot of the blockchain, certainly people see the hype and the scams out there and the ICO stuff, which is natural, they're early market, the underbelly kind of shows itself, we've seen that movie before. But, here's the thing that I've never seen in my career ever. Very often, when you have alpha geeks getting super excited, we're talking CTOs, really strong technical people, and A plus entrepreneurs, they're salivating at the blockchain opportunity because they're the canaries in the coal mines in my opinion on disruption opportunities. You seeing use cases where I can solve that problem, people with passion are going after these new opportunities that were ungettable before because you'd have to roll out this complex software product, all these costs to get started. Same pattern. >> We're seeing a lot of technology people get excited about it. But they understand the technology relatively quickly and they can get it. What seems to be slowing down a lot of blockchain adoption is more the linkages with other organizations because when you're exchanging value, you're passing it between one organization and another, and another and a value chain. And getting that value chain where you can articulate who it is, and codifying the ways that you work with the people in the value chain and create a smart contract around that, that's what we see slowing down the progress of blockchain. >> We had Brian Behlendorf on yesterday, he runs the SmartLedger project for the group and we talked about decentralizations versus distributive, we all know what distributive computing is, we've seen that. But now with decentralizations, he had a good quote, he said, minimum viable decentralization and 'cause if people think that you have to have a completely decentralized environment which I thought was a really good observation. >> I agree, I heard him say that and it reminded me of one of the steps we see in blockchain progression is we have to get a minimum viable ecosystem together. We see people sometimes biting off too big of a problem and one thing I like about The Plastic Bank's approach is that they try to get it working right somewhere first and then scale from there. And then the same thing with blockchain. You have to get your ecosystem defined, you have to get that working and then expand from there. And that's one of the things that we've designed into our blockchain platform, is the ability to govern a group of folks that are trying to exchange value and then also how to operate a blockchain once it's exchanging value with a group of folks. Things like, lets say you have a new version of Hyperledger Fabric, you want to take down your blockchain that's operating while you install the new version, but we've made sure that you can do that in a smooth way that keeps on running. >> You know Alan, that is a super smart observation. I hundred percent agree with you. I've always said this, and Stu and I and Dave, we talked about this. Blockchain is a community win. The community could win this together as the community participants increase in that kind of philosophy, the value increases. If it's a winner take all, it doesn't work, clearly. So what do you guys with the ecosystem? That's a good question. Are you guys investing in the ecosystem? Can you give some examples. Obviously you're supporting great projects. >> We've built a lot of technology but one of the things that is unique about IBM's approach to blockchain is the governance tools that we've created to help manage the ecosystem. We're the only blockchain partner out there right now that has these kind of ecosystem partner tools that can kind of speed the creation of bringing multi parties together and helping them think through how they should govern the creation and then also the operation of the blockchain. What if you want to add a few more members after your blockchain is running? That's a technology problem, but it's also a business problem. And will your blockchain keep running? >> Well we'll keep in touch, we definitely want to do a lot more coverage on what you guys are doing. I think it's instrumental, we're doing a lot of coverage as well on the ICO side, tracking that business side of it, but down on the enterprise it's a lot of activity coming and I think Accenture is going to do very well. Shaun, get back to you for a second. Want to ask you a quick question. On a personal note, what has been a learning from your process? You're doing, what seems to be probably an exciting and intoxicating job where you're making social good happen, using some tech. I mean, it's a cool project. Assuming there's been some bumps along the road like any other entrepreneurial venture. What are some of the learnings you've taken away from where you are today, where you've come from and what you achieved? What are some personal learnings? >> I think really the two biggest things is one, especially coming from just a entrepreneurial nature, it's not what you know, it's what you can figure out. There's always a how. And for us, when it was when you come up with such a giant idea and you just know where it's going and where it can go past there. Mentally just becoming the person capable of achieving what you are trying to achieve as compared to getting caught up on all the things you don't know, I mean the more you know, the more you know how much you don't know and it's really just getting inspired by the fact that whatever the next answer, whatever the next hiccup, whatever the next how, we'll figure it out. I might now know the answer, but I'm committed to figuring it out and committed to becoming the person capable of figuring it out. And you know it's a journey and process and an inspiring journey to be on. >> You got to dream the future to create it. What you're saying is it's a growth mindset, I love that growth mindset, say hey we're going to go after it, we're going to see some things and have to figure it out, that's a great mindset. Versus nervousness and insecurity. Good job, well done. Well congratulations on your success and thanks for coming on theCUBE, we really appreciate it. Alan, we look forward to chatting with you in the future and talking blockchain. IBM here on theCUBE with the great projects they're doing on blockchain and also they had an announcement a couple weeks ago around some really cutting edge value around food distribution and value chain so again, Smarter Planet, I know you guys do a lot of investments early on but congratulations, and continued success Shaun. Live coverage here from the Open Source Summit in Los Angeles, California. It's theCube, I'm John Furrier, Stu Minniman, be right back with more after this short break.

Published Date : Sep 12 2017

SUMMARY :

brought to you by the Linux Foundation and Red Hat. of the Open Source Summit in North America. kind of reminds me of the Linux move back in the day. and one of the reasons we're here is You know I love the IBM marketing department, So the mission to use technology to stop ocean plastic. And certainly you guys know a lot about that at IBM. and looking at the way of how do we remove but most of the world does not qualify for a bank account. So that means the education of the mobile payments and you know it's a system designed Linux on the mainframe for quite a few years. Around the globe we have a lot of cases where on the blockchain but you still got your wallets out there, Most of the Secure Container technology mainframe is not the initial thing that we think of. that just it's the right way to do it on a global scale. And now of course, the supply chain is a channel the physical asset and you can kind of track it through and the ICO stuff, which is natural, they're early market, and codifying the ways that you work with the people that you have to have a completely decentralized environment of one of the steps we see in blockchain progression kind of philosophy, the value increases. that can kind of speed the creation of Shaun, get back to you for a second. the more you know how much you don't know Alan, we look forward to chatting with you in the future

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Patrick Chanezon, Docker | Open Source Summit 2017


 

(Upbeat Music) >> Announcer: Live from Los Angeles, it's theCUBE, covering Open Source Summit, North America, 2017, brought to you by the Linux Foundation and The Red Hat. >> Hey, welcome back everyone, live here in Los Angeles, California for theCUBE's exclusive coverage of Open Source Summit in North America. I'm John Furrrier, with my co-star Stu Miniman, Our next guest is Patrick Chanezan, who is a member of the technical docker, also on the governing board of the Cloud Native Compute Foundation, also known as CNCF, which is the hottest part of the open-source community right now. It's very fast, we're very trendy, a lot of people are on the bandwagon, a lot of contribution going on. Welcome back to theCUBE. Great to see you. >> Hey, thanks, John and Stu, it's very good to be back on theCUBE. >> Docker's been just a great company to follow since the beginning, the birth of Docker to the transformation from Dark Cloud to Docker. It's just a great team. We have a lot of respect for you guys. Congratulations. But the CNCF right now is the hottest thing, there's more platinum sponsors than I think maybe members. It seems to be very hot. Industry loves it, developer is going crazy about it, why is CNCF so hot? What's your perspective on that? >> What we're seeing right now is really the realization of adoption of containers, we talked about it two years ago. It was very early, and people were starting to use Docker and just covering containers. Today they're really putting them into production, and what we see at Docker with our customer base is that they are using it more and more to modernize traditional applications. So we see tremendous use of containers everywhere in enterprises, and the rise of CNCF is tied to that, I think. We're seeing more and more developers joining the bandwagon, more and more systems being built based on containers. And at Docker, we're playing a big role into that. >> Patrick, for a couple years, the chant was Docker, Docker, Docker, and sometimes people say, "Cubernetti's is where the hotness is." Well underneath that, there's containers. And a lot of those containers, Docker's involved there. Maybe you can help us understand the nuance a little bit as the Cubernetti's wave has grown, sure there was the Mezos, Docker Swarm, Cubernetti's war, if you will there, but what does this mean for Docker? What are you seeing from your customers? Give us the update on Docker itself. We'll probably need to get into the Mobi stuff, too, as we get into the interview. >> Sure, definitely. That's a big question, so let's start with the beginning. When enterprises adopt containers, what happens is that usually it starts with the wrappers who are adopting containers with Docker. So they download Docker for their Windows machine, or for their Mac, or on Linux, they start modernizing their applications. What we see is more and more enterprising wrappers, modernizing existing applications by Dockerizing them, and then the next step is that they want to put that into production. For that, you need the whole system. So at Docker, we have two systems. We have Docker C and Docker E, our enterprise version that has role-based controlled sequencing and all that good stuff. There are lots of different components that you need in order to have a production container system, and so Cuberneris, the orchestration engine is one piece of that. At Docker, we have swarm kits. But there are lots of other different components and lots of different layers to that system. So you have the infrastructure layer that you are using to deploy that inside the firewall or in different cloud providers. Many different solutions there. At Docker, we have one that's called infrakit, that we're using in our additions, to deploy it everywhere. Then on top of that, you need some version of Linux. At Docker Con in April, we released a project called Linuxkit, which helps you do that. On top of that, you need a container run-time. Traditionally, it's been Docker. Right now, we re-factored the Docker codebase to extract a core run-time component that's called container G, which we donated to CNCF. Container G is nearing one or better, so it would be one of them pretty soon. Then, on top of that, you need an orchestration engine. Docker E comes with its own orchestration based on swarm, Cuberneris is another orchestration engine that people like. Cuberneris, behind the scenes, is using Docker, and right now we are working very closely with theCUBE rneris community to implement CRI container G. So CRI is the container run-time interface in Cuberneris that lets you plug in different engines to plug container G in the place of Docker in there. >> Stu: There's a lot of pieces in here. We had too many interviews yesterday talking about the Open Container Initiative, or OCI, which really made sure we've got the 1.0 version of that done. What container format, seems like we're in agreement. We're not fighting over that kind of piece anymore. From the Cubernetti's community, I heard loud and clear, they're like, we've got container D. We've kind of got what we want. We're happy it's open-sourced. We're going. We were at Docker Con when you annouced Mobi, which is kind of open-source, and it felt like we were still trying to figure out all those pieces. Give us the update as to Mobi, you're talking at the open source show, you talk a little bit about CE and EE being the productized versions, but part of it is what we used to think of as Docker is now Mobi, and the company Docker versus the project. You kind of teased those apart a little bit, right? >> Yes. Exactly. And actually, that's what I came here at the Open Summit to talk about, to give people an update on the Mobi project. So what we announced back in April was the launch of the Mobi project, which is the end of a two year re-factoring of the Docker codebase into different components. So all these components on the stack that I told you about, we just tease them out from the Docker codebase so that it's a modular set of components that you can assemble together. Mobi is three things. It's an open source project where people can collaborate in container-based systems. It's also a tool that we're using to assemble our components into Mobi Corp, which is the upstream of Docker products. Then it's also a set of lots of components, like container G, Linux, Infrakit, Notary, and all the projects I talked about. One other thing we've started doing since April as well is we started proposing to donate some of these container projects to CNCF. So container G is already part of CNCF now. Recently, this summer, we proposed Infrakit, and they think it's a little bit too early for donation, because they want to see other, different projects in there. Right now we're in the process of donating and proposing Notary, so there's an active discussion in there, and I hope that the vote will happen probably next week or something like that. So Notary is the component that we're using for Docker, and we think that this could be used in lots of different Cloud Native systems, so it really has its place in the CNCF. >> So identity component for the container management, or what specifically is that going to address? >> So Notary is the piece that we're using in Docker Con Contrast to make sure that you can trust the images that you've built. A signed signature should be able to revoke all the signatures, all the kind of features that our customers love in Docker E. >> John: It's kind of like Stu and me on Twitter, he's verified, I'm not. But this is important, because now, this is a stamp of approval, if you will, that the community can look to. >> Yeah, definitely. So it's something that we implement in Docker, and now people building other containment systems who will be able to use it. And so Mobi saw a lot of traction for its different projects, some of them are going to CNCF, some of them are growing by themselves. On the Docker side, we made some progress prioritizing all that with Docker C and Docker E. We had a 1706 launch of Docker E recently, with lots of new role-based axis control, controls for enterprises, who are adopting it essentially to modernize their traditional apps. >> Take us through a kind of personal question. You were just at a board meeting with the CNCF. Did everyone show up or are people calling in? >> I think Alexi Richardson was the only one, maybe two people on the phone. >> John: Was Sam Redjay there? >> Sam was not there either, but Epona was standing for him. So the room was full, and to me it's really an impressive achievement, two years after we helped start the CNCF. The first meetings were 10, 15 people at Google deciding to create this foundation, and today, maybe we're twenty or thirty people around the table. An\d everybody-- >> Even before that Google meeting, we were covering theCUBE Con Cubernettis' movement early on from your event. So I think, out of Docker Con and some of the Linux Foundation events, the early momentum, we were there, Stu. Then it became the CNCF, and they decided, hey, let's get the Cloud Native Foundation. So it's interesting to me, seeing the growth from the beginning. And it's unique to have that opportunity to be in the front lines of an organically developing group. It wasn't really build the table and come, this was a realization. >> It was a realization and also a concerted effort to build something together to show customers where the containment systems were going in terms of architecture-- >> What were the factors beside, I mean Docker was big driver. Notably, you should get the credit for pioneering the space. But what were the drivers for this coalescing, this call to arms, if you will, or this organic formation of CNCF. What were the key drivers in your mind. Obviously, containers is one. What are the other ones? >> Yeah, to me, containers is a big one, because when you are starting to design your system with containers in mind, you need to change lots of things, how you're building them and things like that. And how you are architecting things together. There were lots of questions about how you do the balancing in that kind of system, how do you do monitoring, how do you do tracing. The CNCF was assembled so that all these components have a place where we can show our inter-repairability between them. So Docker is part of that, Mezos is part of that, as well as Cuberneris. There's a big inter-repairability work that's happening in there. We had a report in the board meeting today about the new CI Initiative that tests different CNCF projects together. >> John: What CI? >> Sorry, continuous integration. >> John: Got it, yeah. >> So there's the continuous integration-- >> John: Not conversion infrastructure. >> Oh, you're right, yeah. >> We always get acronym-ed up. But Chris Anazik was talking yesterday about the graduation path, still waiting to see something graduate from the process. What's going to graduate first? Any bets, what's the betting, what betting is going on? Do you guys actually make bets? Is there a fantasy drafting going on? >> I don't think that really matters, what matters is really adoption of the components. >> Okay, so what's happening on the graduation scale? What's coming out of the woodworks? What's next? What's going to graduate first? >> So one thing I'm curious about is whether Container G will graduate, because it's kind of mature now, it's reaching 1-0 with the CRI and soon integration in Docker, it may be a good candidate for graduation. For the others, I don't know which ones would be first into the graduation process. >> Well, we know it's a high bar, for sure. >> Patrick, the stuff that's getting mature. What about some of the roadmap there? From Docker and CNCF, something like serverless containers, first generation, are going to be important. We had too many interviews this week talking about, today, many of the containers we'll see in the future where serverless and open Faz and things like that go. So how does that all fit in? Can you give us a Docker and a CNCF view on that? >> Let's talk about the CNCF view first. CNCF is working on lots of different areas where there needs to be more definition about what Cloud Native means for storage, for example, with the CSI Initiative, container storage interface, CNI, container networking interface, and then there's the working group for CI, which is about integrating all these projects together, but the working group I'm most interested in is the serverless one. So we have a Docker rep at the serverless working group, and there we're trying to define what a portable, serverless stack looks like. And at Docker, we're naturally interested in this -- >> Of course, Serverless is a beautiful thing. >> Most of these projects are running on top of Docker, so open Faz for people-- >> I got to ask you, Patrick, because we love serverless, I have a love/hate relationship with the word serverless because technically it's a beautiful thing, but there's servers involved. I'm an old-school, so I kind of look at it differently. The younger generation, they want infrastructure as code. This is a clear obvious thing. It was once a dream, but now it's become a reality. What's your position on that? Where is it on the progress bar? How close are we to serverless? >> I'd say there's an initial adoption of serverless on one of the few stacks that exist out there today. So you have the hosted services, the Faz services, from Amazon, Microsoft, and Google, where I'm more interested, and I think customers are kind of looking for that, is a portable way of doing that. For example, in studying that on top of Docker platforms, so that's what projects like Open Faz is doing. Right now, I think we're really in the stage of discussions with CNCF of what a portable service layer would look like so that you could focus on your code, but be able to deploy on Prim, on top of Docker, or in different cloud providers. So that portability aspect to me is very important there. And I think it's important for customers as well. To me, also, I'm an old timer as well, I used to pitch a platform as a service at the beginning of it, Google App Engine, many years ago. To me, it's kind of a feeling of deja vu. We're kind of re-inventing that, but with containers and in a much more portable way. >> The beautiful thing about being an old-timer is we get to look back and, not so much to the young kids, get off my lawn, we had to walk to school with bare feet in the snow, build our own libraries. I was just talking to Eilene, she's like, "Oh, my low-level class was C and my high-level class was Python." I'm like, "Our low-level class was machine code "and high-level wasn't even C yet." >> Yesterday, at the party, I was discussing with one of the IBM engineers, who's working on Linux and containers on mainframe, and we were talking about GCL, and that's the type of feeling that we got. Like we're getting higher up in the stack, and I think for modern developers, it really helped them-- >> It's a beautiful thing right now. Just think about the young guns that are coming up. This is a beautiful library of options now. 90% of the code is leverage-able. That's like unbelievable. So it really allows the creativity of the developer to be a lot more about structural engineering code-base rather than just being very creative on the 10-20% of real intellectual property that they can bring to the table. >> I would add something, it's really about creating value, as opposed to building infrastructure. When we're getting up the stack, and serverless is an example of that, it's really about creating value for enterprises, and that's what these wrappers are about. >> When you start dreaming in code, you know you're doing good. Patrick, thanks so much for coming on theCUBE, and congratulations on all the success with CNCF, and certainty Docker. You guys continue to impress and do a great job. I know there's some changes over there we're looking for, some of the cool stuff graduating out of CNCF, more Docker container goodness from you guys. Thanks for coming on theCUBE. We appreciate it. I'm John Furrier, we're live in Los Angeles, California, for the Open Source Summit North America coverage with theCUBE. I'm John Furrier, Stu Miniman back with more after this short break.

Published Date : Sep 12 2017

SUMMARY :

brought to you by the Linux Foundation a lot of people are on the bandwagon, it's very good to be back on theCUBE. We have a lot of respect for you guys. and the rise of CNCF is tied to that, I think. the chant was Docker, Docker, Docker, So CRI is the container run-time interface in Cuberneris at the open source show, you talk a little bit So Notary is the component that we're using for Docker, So Notary is the piece that we're using in Docker Con that the community can look to. On the Docker side, we made some progress You were just at a board meeting with the CNCF. I think Alexi Richardson was the only one, So the room was full, and to me it's really and some of the Linux Foundation events, this call to arms, if you will, the balancing in that kind of system, how do you do about the graduation path, still waiting to see something I don't think that really matters, For the others, I don't know which ones would be first What about some of the roadmap there? is the serverless one. Serverless is a beautiful thing. Where is it on the progress bar? on one of the few stacks that exist out there today. is we get to look back and, not so much to the young kids, and that's the type of feeling that we got. So it really allows the creativity of the developer to be and that's what these wrappers are about. and congratulations on all the success with CNCF,

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Elaine Yeung, Holberton School | Open Source Summit 2017


 

(upbeat music) >> Narrator: Live from Los Angeles it's The Cube covering Open Source Summit North America 2017. Brought to you by the Lennox Foundation and Red Hat. >> Welcome back, everyone. Live in Los Angeles for The Cube's exclusive coverage of the Open Source Summit North America. I'm John Furrier, your host, with my co-host, Stu Miniman. Our next guest is Elaine Yeung, @egsy on Twitter, check her out. Student at Holberton School? >> At Holberton School. >> Holberton School. >> And that's in San Francisco? >> I'm like reffing the school right here. (laughs) >> Looking good. You look great, so. Open Source is a new generation. It's going to go from 64 million libraries to 400 million by 2026. New developers are coming in. It's a whole new vibe. >> Elaine: Right. >> What's your take on this, looking at this industry right now? Looking at all this old, the old guard, the new guard's coming in, a lot of cool things happening. Apple's new ARKit was announced today. You saw VR and ARs booming, multimedia. >> Elaine: Got that newer home button. Right, like I-- >> It's just killer stuff happening. >> Stu: (laughs) >> I mean, one of the reason why I wanted to go into tech, and this is why I, like, when I told them that I applied to Holberton School, was that I really think at whatever next social revolution we have, technology is going to be somehow interval to it. It's probably not even, like, an existing technology right now. And, as someone who's just, like, social justice-minded, I wanted to be able to contribute in that way, so. >> John: Yeah. >> And develop a skillset that way. >> Well, we saw the keynote, Christine Corbett Moran, was talking really hardcore about code driving culture. This is happening. >> Elaine: Right. So this is not, like, you know, maybe going to happen, we're starting to see it. We're starting to see the culture being shaped by code. And notions of ruling classes and elites potentially becoming democratized 100% because now software, the guys and gals doing it are acting on it and they have a mindset-- >> Elaine: Right. >> That come from a community. So this is interesting dynamic. As you look at that, do you think that's closer to reality? Where in your mind's eye do you see it? 'Cause you're in the front lines. You're young, a student, you're immersed in that, in all the action. I wish I was in your position and all these great AI libraries. You got TensorFlow from Google, you have all this goodness-- >> Elaine: Right. >> Kind of coming in, I mean-- >> So you're, so let me make sure I am hearing your question right. So, you're asking, like, how do I feel about the democratization of, like, educ-- >> John: Yeah, yeah. Do you feel it? Are you there? Is it happening faster? >> Well, I mean, things are happening faster. I mean, I didn't have any idea of, like, how to use a terminal before January. I didn't know, like, I didn't know my way around Lennox or GitHub, or how to push a commit, (laughs) until I started at Holberton School, so. In that sense, I'm actually experiencing this democratization of-- >> John: Yeah. >> Of education. The whole, like, reason I'm able to go to this school is because they actually invest in the students first, and we don't have to pay tuition when we enroll. It's only after we are hired or actually, until we have a job, and then we do an income-share agreement. So, like, it's really-- >> John: That's cool. >> It's really cool to have, like, a school where they're basically saying, like, "We trust in the education that we're going to give you "so strongly that you're not going to pay up front. >> John: Yeah. >> "Because we know you're going to get a solid job and "you'll pay us at that point-- >> John: Takes a lot of pressure off, too. >> Yeah. >> John: 'Cause then you don't have to worry about that overhang. >> Exactly! I wrote about that in my essay as well. Yeah, just, like because who wants to, like, worry about student debt, like, while you're studying? So, now I can fully focus on learning C, learning Python (laughs) (mumbles) and stuff. >> Alright, what's the coolest thing that you've done, that's cool, that you've gotten, like, motivated on 'cause you're getting your hands dirty, you get the addiction. >> Stu: (laughs) >> Take us through the day in the life of like, "Wow, this is a killer." >> Elaine: I don't know. Normally, (laughs) I'm just kind of a cool person, so I feel like everything I-- no, no. (laughs) >> John: That's a good, that's the best answer we heard. >> (laughs) Okay, so we had a battle, a rap battle, at my school of programming languages. And so, I wrote a rap about Bash scripts and (laughs) that is somewhere on the internet. And, I'm pretty sure that's, like, one of the coolest things. And actually, coming out here, one of my school leaders, Sylvain, he told me, he was like, "You should actually put that, "like, pretty, like, front and center on your "like, LinkedIn." Or whatever, my profile. And what was cool, was when I meet Linus yesterday, someone who had seen my rap was there and it's almost like it was, like, set up because he was like, "Oh, are you the one "that was rapping Bash?" And, I was like, "Well, why yes, that was me." (laughs) >> John: (laughs) >> And then Linus said it was like, what did he say? He was like, "Oh, that's like Weird Al level." Like, just the fact that I would make up a rap about Bash Scripts. (laughs) >> John: That's so cool. So, is that on your Twitter handle? Can we find that on your Twitter handle? >> Yes, you can. I will-- >> Okay, E-G-S-Y. >> Yes. >> So, Elaine, you won an award to be able to come to this show. What's your take been on the show so far? What was exciting about you? And, what's your experience been so far? >> To come to the Summit. >> Stu: Yeah. >> Well, so, when I was in education as a dean, we did a lot of backwards planning. And so, I think for me, like, that's just sort of (claps hands). I was looking into the future, and I knew that in October I would need to, like, start looking for an internship. And so, one of my hopes coming out here was that I would be able to expand my network. And so, like that has been already, like that has happened like more than I even expected in terms of being able to meet new people, come out here and just, like, learn new things, but also just like hear from all these, everyone's experience in the industry. Everyone's been just super awesome (laughs) and super positive here. >> Yeah. We usually find, especially at the Open Source shows, almost everyone's hiring. You know, there's huge demand for software developers. Maybe tell us a little bit about Holberton school, you know, and how they're helping, you know, ramp people up and be ready for kind of this world? >> Yeah. So, it's a two-year higher education alternative, and it is nine months of programming. So, we do, and that's split up into three months low-level, so we actually we did C, where we, you know, programmed our own shell, we programmed printf. Then after that we followed with high-levels. So we studied Python, and now we're in our CIS Admin track. So we're finishing out the last three months. And, like, throughout it there's been a little bit, like, intermix. Like, we did binary trees a couple weeks ago, and so that was back in C. And so, I love it when they're, like, throwing, like, C at us when we've been doing Python for a couple weeks, and I'm like, "Dammit, I have to put semicolons (laughs) >> John: (laughs) >> "And start compiling. "Why do we have to compile this?" Oh, anyway, so, offtrack. Okay, so after those nine months, and then it's a six month internship, and after that it's nine months of specialization. And so there's different spec-- you can specialize in high-level, low-level, they'll work with you in whatever you, whatever the student, their interests are in. And you can do that either full-time student or do it part-time. Which most of the students that are in the first batch that started in January 2016, they're, most of them are, like, still working, are still working, and then they're doing their nine month specialization as, like, part-time students. >> Final question for you, Elaine. Share your personal thoughts on, as you're immersed in the coding and learning, you see the community, you meet some great people here, network expanding, what are you excited about going forward? As you look out there, as you finish it up and getting involved, what's exciting to you in the world ahead of you? What do you think you're going to jump into? What's popping out and revealing itself to you? >> I think coming to the conference and hearing Jim speak about just how diversity is important and also hearing from multiple speakers and sessions about the importance of collaboration and contributions, I just feel like Lennox and Open Source, this whole movement is just a really, it's a step in the right direction, I believe. And it's just, I think the recognition that by being diverse that we are going to be stronger for it, that is super exciting to me. >> John: Yeah. >> Yeah, and I just hope to be able to-- >> John: Yeah (mumbles) >> I mean, I know I'm going to be able to add to that soon. (laughs) >> Well, you certainly are. Thanks for coming on The Cube. Congratulations on your success. Thanks for coming, appreciate it. >> Elaine: Thank you, thank you. >> And this is The Cube coverage, live in LA, for Open Source Summit North America. I'm John Furrier, Stu Miniman. More live coverage after this short break. (upbeat music)

Published Date : Sep 12 2017

SUMMARY :

Brought to you by the Lennox Foundation and Red Hat. of the Open Source Summit North America. I'm like reffing the school It's going to go from 64 million libraries What's your take on this, Elaine: Got that newer I mean, one of the reason why I wanted to go into tech, Well, we saw the keynote, Christine Corbett Moran, you know, maybe going to happen, As you look at that, do you think that's closer to reality? so let me make sure I am hearing your question right. Do you feel it? I mean, I didn't have any idea of, like, and we don't have to pay tuition when we enroll. "so strongly that you're not going to pay up front. John: Takes a lot John: 'Cause then you don't have to worry (laughs) (mumbles) and stuff. you get the addiction. "Wow, this is a killer." Elaine: I don't know. that's the best answer we heard. and (laughs) that is somewhere on the internet. And then Linus said it was like, what did he say? So, is that on your Twitter handle? Yes, you can. So, Elaine, you won an award And so, like that has been already, you know, and how they're helping, you know, and so that was back in C. And you can do that either full-time student What do you think you're going to jump into? that by being diverse that we are going to be stronger for it, I mean, I know I'm going to Well, you certainly are. And this is The Cube coverage, live in LA,

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Ross Turk, Red Hat | Open Source Summit 2017


 

(upbeat music) >> Announcer: Live from Los Angeles, it's theCUBE covering Open Source Summit, North America 2017, brought to you by the Linux Foundation, and the Red Hat. >> Okay, welcome back everyone. Live here in Los Angeles, is theCUBE's exclusive coverage of the Open Source Summit, North America. I'm John Furrier, your host, with my cohost, Stu Miniman with Wikibon. Our next guest is Ross Turk, Director of Evangelism at Red Hat. Welcome to theCUBE, good to see you again. >> Good to see you. >> So, evangelizing is now going to be super more important as Open Source Summit, formerly called The Linux Con, Linux kernel. So, Linux is really now the foundation. So, now all these new products are emerging, hence the new name Open Source Summit. You guys are in the middle of it. >> Ross: Mm-hmm. >> What's the themes that you guys are pumping out there right now from an evangelist standpoint? Give me the order of operations in terms of priorities. >> Well, gosh, we're trying to tell stories about how people operate infrastructure in today's modern world, right, which is a lot about making sure that, you know, dealing with ephemeral infrastructure, dealing with containerized applications, and that sort of thing. It gives a lot more flexibility to people who are doing modern operations. It's about applications that spill over across multiple machines and doing so in a way that doesn't require a lot of heavy lifting or wiring things up by hand. So, there's this whole modern operations experience thing we talk about, but we also talk about a modern developer experience. What does it mean to build applications today? And, of course, you combine those together it turns into Dev Ops, right. But, the large companies still work in these two separate worlds. But, people are building technology differently than they ever did in the past, and they're deploying it differently than they did in the past. So, there's lots of stories that can come out of that. >> Well, let's start with the story that we love. Stu and I were talking about the server list at the beginning because you have the Dev Ops movement certainly is going mainstream. You're seeing a lot of enterprises looking at that as viable. Now, they're operationalizing it, and they need to have that industrial strength Red Hat, Linux. But, now Kubernetes and Servalist, the younger developers, they just want an infrastructure as code. >> That seems to be a very hot story here, and Kubernetes server list is kind of in the hallway conversations. How do you guys bring that to bear? >> Well, I think that what Red Hat does is we give an operating environment that can sit underneath all of it with Rail and everything else we build that is stable and secure and reliable. And, you need that in order to have all of this chaos happening above it with developers deploying microservices and moving things around, and demands changing and all these other things, you need to have something really stable and reliable underneath that, something that you know can be if the applications and virtual machines and containers aren't long running, what sits underneath of them is long running, and it still needs to be stable and reliable. So, a lot of the work we've been doing for the past 20 years around Linux Engineering, I think, contributes to making this stable environment for a modern developer. >> Yeah, Ross, one of the challenges in scaling is usually I've got to worry things like storage. You know, state is there, you know data gravity is something we need to be concerned about. It's great to say ephemeral and I want everything anywhere, and, I can put it in this cloud or use it in that application, but at the end of the day it's tough to build some of these pieces. How's Red Hat helping there as containerization and scale, how does that fit into kind of this storage discussion moving on? >> It's a real struggle right, because you can talk to people and they say oh, every single one of the microservices held over and they scale out, and all this, and they talk about this really elaborate infrastructure like well, where is all your data being stored? Oh, it's sitting in Oracle, you know, so you find this sort of like dissonance between how data is managed and how applications are managed. At Red Hat, we believe that storage should be another microservice alongside all the other microservices make up and application. So, that's why we put a lot of engineering effort into making things like Ceph and Red Hat Gluster Storage work well alongside Open Shift so that a developer can provision storage as needed without having to go to an ops person, and that when that storage gets provisioned it's in containers alongside other containers that are providing the other things that your application needs. >> Software defined storage was the answer, it's the Holy Grail. We've heard software defined data center. We've been covering this also in the VM world, heard an awful lot about that. But, that still is a key part of the software, and now you have hardware stacks, so IOT and Cloud are opening up these new use cases for enterprises where whoa, we actually kind of didn't test that hardware with that software, so it's kind of interesting dynamic because software defined is still super important. What's your view on software defined storage, in particular, is that an answer, is it stable, what's your thoughts? >> Well, I think it's an answer, but it depends on what the question is, just to be kind of-- >> What is software defined storage? Let's start with that one. >> Well, so, what is software defined storage? Software defined storage is, okay, so I'll say it in more like what it isn't. >> The traditional storage, traditional storage solutions get deployed as appliances, which are vertically integrated hardware and software solutions that are built to do one thing, and to do that one thing well. And, that one thing is to store data. They're kind of like big refrigerator-sized things that you bring into your data center with a forklift and it's a big oepration, and then they provide storage for any number of applications. What software defined storage does is it implements those same services and those same capabilities, but it does it entirely in software. So, instead of being this vertically integrated software, hardware solution, you end up with software that lets you build it on any hardware, and that hardware can be physical hardware so you can build a storage cluster made up of 1,000 bare metal servers, or you could build that same cluster on a thousand VMs inside of a public cloud. So, in making storage no longer a hardware problem, like it used to be, I mean fundamentally it's a hardware problem, you get down bits are stored somewhere, but, the management of storage is no longer a hardware concern, it's a software concern, now, and that means it's a little bit more flexible. You can containerize it. You can deploy it in the public cloud. You can deploy it in VMs. You can deploy it on bare metal. So, that's what software defined storage is doing is it's changing things around, but it requires different skills. >> Come on Ross, I want a storageless environment, can we get on that? >> A storageless environment? Sure, I guess. Storage has become somebody else's problem at that point. >> Absolutely, how about, how is containers changing that whole discussion? You know, it took us like a decade to kind of get storage working in a virtualized environment, networking seems to be really tackling the container piece, storage seems a little further behind, you know, what're you seeing some of the big challenges there and how are we looking to solve that? >> Well, here there's when you look at containers and storage, there are really two things to consider. The first is how do you make storage such that a containerized environment can consume it easily, right. This is what at Red Hat we call container ready. So, we call a storage solution container ready, what it means that your container platform knows how to consume it. Most storage is container ready, all it takes is a Kubernetes volume driver to be container ready, and that's one half of it, and that's really, really important. It's the same kind of thing we had to do with virtualization, making sure every hypervisor could talk to every storage system. Now, we're making sure every container platform can talk to every storage system. That's important, but it's only half the puzzle, 'cause the other half is now that you have storage as a software thing, a distributed software thing, you can actually deploy that storage inside the same containers that you're using, that are driving the demand for that storage. So, it's this kind of weird, you know, snake eating it's own tail thing where you as a developer, let's say I'm deploying an application, I need a database, I need a web server, blah, blah, and a bunch of other things, and I need a scale out storage system, I can deploy that in containers just alongside everything else, and it uses the local storage of each of the container hosts to build that shared storage that then is used to provide services to other containerized applications. So, it's the ability to have storage in containers Which is really strange. We call that container native storage. >> It's interesting the markets going pretty crazy, so if you kind of take the Dev Ops and say assume for a minute infrastructure is programmable. >> Mm-hmm. >> But, then you look at the developer action right now on the App side, we've seen all kinds of new stuff Apple has their announcement today with the new iPhone 8. We've been covering that on siliconangle.com. Forbes has got great stories as well. New AR kit, so augmented reality is a huge deal, virtual reality obviously still hyped up, is still promised, those are going to require new chips. That's going to require consumer behavior change, so, the developers are staring at a different market than worrying about provisioning storage, right. So, but, these are now new pressures. New hardware, new opportunities, as a developer, advocate, and evangelist, and an industry participant, and user, how do you look at that, and how is that impacting the developer market because Androids got good stuff coming down, too, not just Apple, Samsung? >> Ross: Yeah. >> It's all multimedia, I mean. >> Well, what's interesting about AR kit is that if you go just back five years that same capability required a very, very particular type of phone, you know, like the project Tango stuff required all these depth cameras and like connect style stuff to do the AR kit, and Apple was able to solve a lot of that in software just using two cameras, right, and in software. And, I think that's really-- >> John: On a phone? >> On a phone, on a phone no less, and I think what's amazing about that is all of the capabilities that we walk around with in our pocket now were really hard to get a long time ago. >> Well, this is interesting, your point, let's stay on this because this really illustrates the point. AR kit, for example is proving that the iPhone now is smart enough and with software, enough horsepower to do that kind of thing, but that's replicable across all devices now as an IOT device. The Internet of Things is going to be a freight train coming down the tracks, security, endpoint security, whether it's, I mean all kinds of coolness, but yet threats are there. So, software has to do all this, right. So, how's that going to impact the cloud game, your business, you guys you have to move faster on hardening things, be more organic on the innovation side, not business-wise, but technical strategy. >> Well, I think a lot of it is enabling developers to work more quickly and build features more quickly, also, educating developers on the security and privacy ramifications of the things that they build because it's really easy to just go out in front and advance and innovate and forget about all of that stuff. So, it's about changing developer culture so that you consider security and privacy first, as opposed to later. And, also, maybe you want to consider storage as well if you're talking about machine learning or IOT and all of these types of things, you're -- >> Videos, I mean this is video, software rendering. That's a storage nightmare. >> It's all got to live somewhere, and once you put it in that place where it lives, it's really hard to move it. So, this is a thing you want to plan from the very beginning. >> And, I think that's what's cool about AI, too, and self-driving cars it's a consumer, you know, flashy, coolness that can say hey, this is happening. I mean how fast is happening, but the developer is now bringing it to the businesses and say, okay, we don't have an AR virtual reality strategy for our retail, for instance, you potentially could be out of business. So, these are the kind of thoughts that are going at the C-level that now are going into what used to be IT, but all of IT, how do you handle this? This is an architectural question, so your thoughts on that, because that seems to be a conversation we see a lot. Architectural that's going to solve problems today, not foreclose future opportunities. >> Well, it's cultural, too, inside of the company, like everywhere inside of a company there used to be Internet teams in companies, remember. We used to be like oh, go talk to the Internet team because something's wrong with the Web or whatever, now, there's no Internet team, everybody's the Internet team, Every single team in an organization is thinking about how to leverage the Internet to make their job more effective. The same is going to be true for everything that we're talking about, you know. Security, interestingly enough, so many people always thought security was somebody else's problem. but just this week, we were reminded that it's everybody's problem, hundreds of millions of people's problem, security. So, I think that as these things kind of advance-- >> John: Security first, and privacy first is critical. >> It is absolutely critical, and there used to be, I mean, I think at some point maybe there won't be a security team inside of a company because everybody's going to be the security team, but it's like everybody's the Internet team now, and I always felt the same way about open source communities. I thought there would never, you know, always everybody-- >> Well, people are ruling their own security now. You have these LifeLock or whatever they call them, these services for a password protection because you can't trust even all these databases that are out there. You have block chain with immutability, yeah, certainly the wallets are not yet, but I mean certainly this is where it might be a future scenario. >> Yeah, and I think for all of these things agility is going to be key. The ability to go down a path a certain distance and realize whoa I've run into a privacy problem, back up a little bit, continue down another path. I think that the faster we can make the development process, I think the less risky we make going into all these new frontiers. >> Yeah, Ross, one of the things we've really liked watching the last kind of five years or so is storage turning into a discussion of data and how can we leverage that data, real-time data, you know, decisions at the edge, analytics, what's exciting you the most about kind of the storage world these days? >> Oh boy. Well, you know, I just spent about five years in the storage infrastructure world, so a lot of what kind of kept me going day and night was saving people money, making things faster, making things easier, but also, giving storage platforms that were elastic enough to handle all of this really interesting stuff that happens on top of them. So, there's all kinds of new big data stacks that I find particularly interesting, a lot of the real time analysis stuff like Apache Spark and things like that. There's so much going into visualization right now, as well, how you handle large amounts of time series data and that sort of thing. There's been a lot of advancements in exactly that. Personally, I'm really excited lately in all the data of this stuff, all the ways you can extract meaning from all this data, you know, the ways that you can give it a business context that allows you to make better decisions with it. >> Not a lot of data conversations here at this conference as is open source software, but I mean data I mean I've said and I wrote a blog post in 2008 Dave always, Dave Olantho always jokes with me because I always reference it, I said data is the new development kit, meaning data is going to be part of the software development model, and it actually is with big data, but, you're not hearing a lot of it here because most people are talking about their communities, their projects, but the role of data is fundamental at the edge. >> Ross: Absolutely. >> And, so, how is that going to change some of these conversations and can data be developed on, and is data now part of the software development life cycle that's coming to fruition in the new way. >> Interesting, I think that's an interesting observation that as we see sort of Dev and Ops coming together, right, the world of the operator and the world of the developer coming together, I think we'll probably, at some point, see the world of the developer come together with the world of the data scientist because as I kind of wrack my brain I'm thinking okay, what type of future developer wouldn't have to be dealing with large amounts of data wouldn't have to have that kind of skill to be able to deal with it. So, I think we're going to start to see more software developers getting more involved in big data, machine learning, data analytics, and things like that for sure. >> Well, either way, this open source growth that's coming is going to be exponential. Data is already there. I mean we have a joke in our office software is eating the world as Mark Andreasen would say years ago, but, data is eating software. So, in terms of how you look at it someone's eating somebody, but, this becomes interesting for the IOT developer, or the industrial developer. Those systems were never connected to IT in the past. It was like they ran their own stuff from their own terminals. >> And, there's this idea that everybody's heard that data has gravity, right. And, I actually was talking to somebody about this and they said, well, actually the data has inertia, and I'm like, no, that's not really it 'cause once it's moving it's not hard to stop it. The idea that data has gravity means that let's say I'm putting together this new IOT application, or whatever, I'm gathering data from a bunch of sensors or whatever, and I've got the data in that place. Now, having all that data in that place is more meaningful to me than most of the software that I wrote. You know, it's like that is the value, the kernel of the data is there, and data having gravity means that it's hard to move once it's in a certain place, but, it also means that it attracts workloads to it, right. So, it used to be that software was king, and software created data and managed data, and now data is king, and it brings software to it, I think. >> I totally agree with you, and I think they might even call this the open data summit soon, but it's beyond open source. Now, this is going to be great. They work hand in hand. Software and data are going to be great. Stu what's your thoughts on the role that data's not being talked much here? >> Yeah, John at Amazon weighed in last year. When we talked to Andy Jassy it was the customers were the flywheel, and I think data's going to be that next flywheel of really feeding into that data gravity discussion that you were having, Ross. You know, when Hadoop came out it was like oh, we're going to bring the code to the data. Well, we know if I'm going to have more data I'm going to have my data sources, I'm going to have third party data sources that I want to be able to work and interact with those, so, data absolutely huge opportunities there, and the companies that can leverage that and get more value out of it is going to be a-- >> Well, we already see it's a competitive advantage, no doubt, but it's the privacy issue still the big debate like we know in our immediate businesses. Look at Facebook, I've got a free App I get to see all my friends' photos, their vacations, everyone's living a great life on Facebook, but, then all of a sudden I give my data away for free for the privilege to use that App, but all the sudden they start injecting fake news at me. I don't want that anymore, and you're still making money off of my data, so that's interesting. Facebook makes money off of my data. >> Yeah, that's-- >> That's my contract with them. >> Yeah, If you ask what their asset is, one person might think it's traffic, you know, or eyeballs, but, I think it's data. >> So, they're using data, I might not like it, so that might be an opportunity for somebody else so your point Stu, so if you start thinking about it differently, data decisions are going to be an architectural challenge. >> Yeah, absolutely. I think enterprise architecture thinking, even today, you're seeing enterprise architects thinking more and more and more about data than they have in the past. >> Ross, what do you think about the show, final word in the segment, what's going on Open Source Summit, share with the folks that are watching? >> The vibe here, it's now a new name, but it's still the same game, multiple events come together. >> Yeah, multiple events together. I like Open Source Summit as a name. I think it's a good name. It's properly named for what's going on here. It's been an interesting experience for me because I've been in this community for a really long time. So, I come here and I run into all kinds of old friends, the hallway track's always a good track for me. The content is fantastic, but the hallway track is always really good, and I can't think of anywhere else where you can go and get this selection of people, right. You have people who're working on all layers of the problem, and they can all come together and talk. So, I don't know-- >> It's really a cross-fertilization, cross-pollination, whatever word you want to use. I think this event's going to be in the 30,000 pretty quickly. I mean this is going to be. Well, if you look at the growth, the numbers, you know, presented on stage, Jim Zemlon, was pointing out the growth, by 2026, 400 million libraries. I mean people still think that's underestimated. >> Yeah. >> So, that's a lot of growth. >> I think it could get there, and I think these folks organize great shows, so I look forward to seeing them scale up to 30,000. >> Ross, thanks for your commentary, appreciate the perspective, and the insight here on theCUBE. >> Thank you. >> Thanks for joining us. This is theCUBE live coverage from Open Source Summit, North America. I'm John, for Stu Miniman, back with more after this short break. (upbeat music)

Published Date : Sep 12 2017

SUMMARY :

brought to you by the Linux Foundation, and the Red Hat. Welcome to theCUBE, good to see you again. So, evangelizing is now going to be super more important What's the themes that you guys are pumping out there And, of course, you combine those together beginning because you have the Dev Ops movement That seems to be a very hot story here, So, a lot of the work we've been doing for the past 20 years and scale, how does that fit into kind of this storage providing the other things that your application needs. But, that still is a key part of the software, What is software defined storage? Well, so, what is software defined storage? hardware and software solutions that are built to do one Storage has become somebody else's problem at that point. So, it's the ability to have storage in containers so if you kind of take the Dev Ops and say and user, how do you look at that, and how is that impacting like the project Tango stuff required all these depth amazing about that is all of the capabilities that we So, how's that going to impact the cloud game, So, it's about changing developer culture so that you Videos, I mean this is video, software rendering. It's all got to live somewhere, and once you put it in because that seems to be a conversation we see a lot. The same is going to be true for everything that we're going to be the security team, but it's like everybody's these services for a password protection because you agility is going to be key. give it a business context that allows you to make meaning data is going to be part of the software and is data now part of the software development life cycle to be able to deal with it. coming is going to be exponential. You know, it's like that is the value, Software and data are going to be great. the flywheel, and I think data's going to be for the privilege to use that App, with them. think it's traffic, you know, or eyeballs, differently, data decisions are going to be and more and more about data than they have in the past. but it's still the same game, multiple events come together. The content is fantastic, but the hallway track is I think this event's going to be organize great shows, so I look forward to seeing perspective, and the insight here on theCUBE. This is theCUBE live coverage from

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Jono Bacon, Jono Bacon Consulting | Open Source Summit 2017


 

(quiet jazz) >> Announcer: Live from Los Angeles, it's theCUBE covering Open Source Summit North America 2017. Brought to you by the Linux Foundation and Red Hat. (upbeat techno music) >> Okay, welcome back, everyone, live in Los Angeles to theCUBE's exclusive coverage of the Open Source Summit in North America, I'm John Furrier. My cohost, Steve Miniman. Our next guest is Jono Bacon, who is the founder of Jono Bacon Consulting in the community. A great talk here-- >> Jono: Thank you. >> at Open Source Summit. Great to see you. >> Yeah, thank you for having me on. >> Congratulation on all your recent success, on the personal and business side. Congratulations, great to see you. So, bottom line, Open Source Summit is kind of powered by the Linux Foundation, but pretty significant accomplishment and State of the Union, if you will, calling an Open Source Summit, big tent event. What's your view on this? How do you explain to folks watching? Is this a new event, is it a combination of multiple events, certainly a great, great big tent, >> Jono: Yeah. >> cross pollination. Whatever you want to call it. But what is this event about? Share your opinion. >> I think it's interesting, and I don't work for the Linux Foundation, but I've worked very closely with them for a number of years. And I think what we've been seeing is that in the earlier days of open source, there was, you know, the Linux foundation have played a fairly key role in certain specific areas. And in recent years, they've become a real center of gravity around open source in a variety of different areas, from automotive to cloud and beyond. And obviously there's a ton of events that are happening all over the world. And the open source thing I think is interesting because it's really an umbrella event that's got four other events that are part of it. So the event that I was running, which we launched this time around, was the Open Community Conference, which is kind of like one thread of this broader event. So one of the things I like about it is is different events from my experience draw different types of audiences. The Linux Foundation events have traditionally brought a lot of professionals who work in the industry. In a similar way, that happens at OSCON as well. But I like that the events kind of become a little bit more organized and diversified into those four areas. And I think what happens then is you get a greater bandwidth of content and discussions that go with that. >> I think it's an interesting point of these other streams, if you will, kind of going into the big tent event. It's got an ecosystem vibe to it, cause you don't want to lose the specialty of the topics and interest at the events that matter for the audiences on a content basis and face-to-face communications. But it's interesting that they're taking this approach because, when you look at it, the scale that's coming, in open source generally, categorically, if you put all of the code together, it's exponentially growing. >> Jono: Oh, yeah. >> So, there's a flood coming, there's a big open source flood of code coming. So, I think it's time to think architecturally about the dams and the rivers and the flows. To your point, this is a super important point in history. >> Oh, it's without question. And one of the things that's interesting to me is in my work as a consultant, when I help companies to build communities, it's broken into a few different layers. For example, so one is a technology layer, like which of the lego bricks that you're going to choose to put together, and how do you click them together in different ways? And that's where I think the LF has become a real center of gravity around what those projects are and how to integrate. But the other thing that we're starting to see more and more of is the formalization of the software development lifecycle, which is, it's not nearly just writing code anymore. It's about automated testing and continuous delivery and deployment, and all these different pieces. So I think we're seeing a formalization of the Lego bricks, but also the instructions for how you click them together. And that's really important if we're going to broaden out this bubble. Because this is a bubble that we're in right now. This is full of invariably tech companies talking about technology. But when we get into the bigger enterprises, when we get into non-tech into the-- >> John: Blocking and tackling, the realities are there. >> And there is so much nuance wrapped up in open source that it's alien to the people outside of this world, that we need to build that better interface for that. >> And that's just putting some hardening around either software or process that there's some comfort and reliability to the users. >> I'll give you one example. Like one company that I was working with, who were a large hardware company, fairly unfamiliar with open source. And one of the first questions they asked me was, "What does success look like? We know what all these options are, we see all the things that people are talking about, but we don't know how to determine what success is." And I think even just that, it seems like an obvious thing to the people in this room, but it's not obvious to a lot of people who are new to consumer technology this way. >> They want to see a finish line or some KPI that's says, we're done! >> Jono: Exactly! >> Shipped! >> And also because this is technology that's built by a broad diverse community of people, you then, a lot of these organizations then say, "So, what is my expected social responsibility here?" So, like how do I participate in this world that I'm broadly unfamiliar with? To me it's like a hip hop guy who's trying to join a metal band. You know? (John laughs) It works differently. >> It's completely different genres of developers and also environments. So, what's your advice to customers? Because they have to navigate because the mainstream adoption of Linux, obviously, and now new projects as they graduate or come to fruition will be deployed. So there is an ops, the DevOps certainly is a movement we're seeing, we can agree on. But now I got to put it into production. I'm a bank or I'm an enterprise. Hey, I got some guys that are monitoring. We're not that active, but we're happy to use it, be a user. How do you talk to that customer? >> Jono: Right. >> The way which I try to approach it is is to break it into a few different areas. The first thing is to first of all make sure that everybody's got the same sense of what the problem is that you want to solve. One of the things that was most transformative to me when I started consulting was it's amazing how many people think they're solving the same problem, but they're actually on a completely different grade of the same problem. So to me, what I like to do, is I like to define what I call a set of key themes which are these are the big rocks that we want to target in a time frame, six months or a year, or whatever it might be. Particularly with, when you're either doing community strategy or development, or you're doing a level of open source, it's fundamentally cross-functional. It involves marketing, engineering, product, there are executive stakeholder requirements, and then there's the people on the ground who are delivering those, so getting those themes in place I think is critical. But then to me what's important next, is to break a broader strategy down into smaller, consumable pieces. I think one of the things where a lot of companies get stuck is they're aware of these different Lego bricks that are available to them. They're aware of some optimizations in terms of workflow, but it's such a huge thing to bring into an organization that invariable is already got a very, very, stodgy or very specific culture that they've got to somewhat unseat. So to me, you need that combination of permissive, top-down approach, which is invariably your exec saying we see value in this, but then you need to break the strategy and the execution down into smaller manageable pieces that a team can wrap their head around. >> We talked to the Cisco guy, Ed, and he was, we were talking about DevNet, a huge developer community for Cisco. DevNet Create was kind of their cloud-native group that they've put together, great little skunk works, worked out great. But those are two languages. It's two worlds. The semantics of what they're saying is the same thing, but the translation is needed. This seems to be a common thread within the DevOps community now that the rubber hits the road, and people see the obvious benefits of what is true private cloud or cloud native. So, how do you go ahead? You provide like a dictionary, and say, "Hey, here's the translation. Okay, he really means that." I mean, are you being more herding the cats, being a translator, or is the client further along than that in your mind? >> It varies, it does vary from company to company. And a chunk of this, at least from my experience, is there is a significant translation layer. One of the things I talked about in my keynote on Monday was I see collaboration ... When I do community strategy, but fundamentally, it really is organizational design. It's just outside of a company in some cases, and sometimes inside of a company. In an organization, you'll have a set of stakeholders making decisions, and then the people who've got to execute on those decisions. And there is often a massive translation layer between them. I run a conference called the Community Leadership Summit each year at OSCON, and every year a couple hundred community managers come along, and I hear the same story from a lot of them, which is, I joined this company, I started building out, I started doing my work and my manager wasn't happy. And to me it's because the execs are defining value that they want to see, but it's not getting translated into tatics, and invariably a lot of the folks who are coming into it-- >> John: Where their ROI calculations are-- >> Yeah, a lot of that's-- >> They're not seeing a real answer. They don't know what success looks like. >> And they come in, and they don't necessarily have the strategic background to internalize that requirement into a place that they can move it forward. So, you get this kind of, this impedance mismatch. So, a big chunk of what I tend to do is to really try to understand what those requirements are and to work across the organization to try and-- >> John: You're doing architecture? Like what would be organizational behavior architecture in the wild, but also an arbiter to the managers. It's looking good, it's like you're trying to the score of the game. You're keeping-- >> Jono: And some days as well, as I'm sure anyone who's watching this, will have seen this with the companies they work with, this isn't rocket science. You know, what someone says they want, this is going to sound incredibly patronizing, it's not meant to, but when someone says what they want, invariably what they actually want is not that thing. So for example, I was working with a company a couple of months ago and they were saying, "We just want growth. We absolutely want to grow as quickly as we can." And when I dug into it with their CEO, what they really wanted was brand recognition and acceptance. And those are two very different challenges that you got to approach there. >> John: Stu, get a word in, I'm sorry if I've taken all of it. >> Yeah, John's passionate about community if you can't tell. The question I have for you is, building a community takes time, and things are changing faster than ever. How do you help people manage that pace of change versus I want results? It seems strategy is something that is for today, and we're changing often. So, how do you manage that give and take of growing yet breaking? >> It's a great question. And again, I think it varies. To me, there's some fundamental pieces that are involved in the way that I, and I take one approach and other people will take different approaches, I'm certainly not the only person who's doing this. The approach that I like to take is is we first of all need to treat communities as a journey. I think a lot of people think we have a product or a service, let's get people interested, and it's seen as a series of individual interactions with individual people. Whereas the way I like to look at it is when that person discovers your product, your service, your framework, whatever it may be, there's a journey from how they learn about it, how they go up an on-ramp to get something done, how you get people making their first contribution or how they derive their first piece of value, and then how you incentivize and reward them to keep them moving along the journey. So to me I look at it as this zoomed-out birds-eye view of this journey that I want to craft. And then I like to break that down into small bite-sized pieces that form the strategy. But the other thing is, and this varies depending on the company, is to what level of transparency and openness you need to communicate with different people. So, for example, one of the first things I do with inner source when people bring in open source principles inside a company is to make sure we have weekly reports going out and we're updating the stakeholders, more specifically, on a regular cadence. Because in that kind of environment where there's an existing enterprise, we all see these like digital transformation consultants come in-- >> Oh god, it's a total gravy train. They make the bookings and the billings. Reminds me of the old ERP deployments. Write a big fat check, and it'd be like, all these consultants come in and make all the cash. >> I think a lot of people look around thinking, alright, Lunchbox, you'll be here for a year. You'll be gone then, all right, and we'll go on to the next thing now our CEO cares about. So to me it's like-- >> John: Well, the consulting is being disrupted. It's interesting, you're a contrarian in your world because you have a consulting firm, but the old model things used to be the next gig is get that next consulting gig, so you worked not to actually put yourself out of a job, which is where the client wants to get. And that's where Agile and cloud has come in. It's interesting is, this is where the work product is. You know what success is in that model. You can come in and say, look, we did our work, everything. You've got a community that's vibrant. You got operational, they operationalized your value. >> Jono: Yep. >> You don't need me anymore, unless you want me. So, it's one of those kinds of conversations. Your thoughts? >> I agree. And it's interesting you mentioned Agile. One of the things that I've noticed as well, and I'm sure lots of not just consultants but people notice this as well is there are, I think there are broadly two types of people in the world. I think there's people who take a very kind of organic and somewhat animated approach to how they do things. And then there's some people who really need a roadmap. They need to follow a plan. I think a lot of people who are building organizational design or building communities default to we need to create a process and a workflow so people can follow that and we can have a sense of order. I don't think most people naturally want to work like that. I think there's a reason why people don't stick with to-do lists. It's because people like to have a more organic way of working. And a good example of this, in my mind, is Agile. Some people will take Agile to the nth degree with story points and epics and a lot of that kind of stuff-- >> You serve the process, the process doesn't serve the objective. I mean, it's the classic effectiveness model. But, I mean, that's the whole point. I mean, you could foreclose opportunities if you're too structured. But yet you got to have some boundaries, let the ball bounce around. So, you kind of want both. What is the ideal in your mind? >> In my mind, the approach that I'm a big fan is an approach called munsing, which was a story of, I forget his name, there's a story of a guy back in like the 50s. And he basically owned a TV factory. And what he'd do is he'd go up to like an engineer who's building one of these big, bulky old TVs, and he'd basically pull out components until it stopped working. And then he'd put that last component in so it would be the minimum level of components for it to work. Ended up saving the company a ton of money. I like to take the same approach process. What's the minimum level that you need that gives people the creativity to be successful in a predictable way? So, like with Agile, these epics and stories and things like that, I think a lot of that stuff is just there to deal with crappy product managers, like people who aren't very good at manning your project. No process is going to deal with someone who's not good at organizing. >> You need to bring to me the right level of the human ingredient and the process is what keeps people ticking over-- >> The other thing too that I find in that area is people kind of redefine, or they maybe mischaracterize what outcome is. Everyone's outcome driven. Love that word. (Jono laughs) It's all about the outcome. In this case, the TV's got to work with a less amount of moving parts. >> Jono: Right. >> That's the outcome. And so, outcomes can be bastardized if you will, could be really mangled in its definition. How do you work with clients on trying to really temper and set the expectations on what the outcome is? Cause the manager still wants to know what the outcome is going to be. So, do you reverse engineer from there? How do you tackle that? >> Jono: It's interesting. A big chunk of it for me is just being realistic. There is no minimum amount of work that needs to be put in to achieve any kind of community. I think you can build a tiny community with one person. However, depending on the requirements and the goals, there's just certain things you have to do. And there's certain time and resources that are required. And also just expectations. Like one of the expectations that some people wrestle with I think is, if you're building a community they're either inside your organization or outside, it's only going to succeed if a broader set of people participate. You know, we see this trend where you hire a community manager and that person lives in a forum or a slack channel to build out the community. Doesn't work. >> John: Yeah. >> Because the people in that community want access to other people. >> This value creation mindset in communities. Value has to be a group dynamic. This individual contributions, I get that. But the group dynamic is critical. Not just a message board moderator. I mean, that's basically what you're saying. >> Jono: Exactly. >> That's a message board. >> Nobody wants to deal with >> John: That's a tool. >> the interface of the thing you care about. And that's the community manager. So, a chunk of this then is a different mindset in how people operate. One of my clients is a company called HackerOne. I wrapped up work with them a little while ago, and their CEO is this guy called MÃ¥rten Mickos who-- >> John: Yeah, MÃ¥rten's great CUBE alumni. >> Phenomenal. For me, he's one of the people I most respect in our industry. >> John: He's a great strategic thinker, understands community, knows tech. Great guy >> Jono: Amazing. >> One of the things that he said when he joined HackerOne was I want everybody in this company to know a hacker. Everybody's got to know our audience. Everybody's got to understand the needs, the desires, the insecurities, the worries, the dynamics, otherwise we can't build a community. It's not just hiring a person to interface to that. That's one of the trickiest things because, again, it takes time. >> John: It's alignment to the audience. >> Right >> John: This is classic. >> Ingratiating in and actually being cool. Aligning with them >> Right. And if it's done well it's really rewarding because I think people who ordinarily wouldn't see the fruits of their labor. >> Well, Jono, I want to get your thoughts as we wrap up the segment here on what's exciting you about potential new things that are coming around the corner. Obviously, we see the promise of blockchain which could have a great big application for communities. We're doing some things with it now that we're testing in our community around trying to create these new value networks. Certainly, there's new tooling coming out. Things like theCUBE and content and communities. New things are coming. The growth is going to be here which is going to create great new opportunities. >> Jono: Yeah. >> What are you excited about as you want to navigate the community landscape? Because the thesis is more people are coming in, more rivers of distinct audiences are going to want specialty but yet the broad market ... What are you excited about the community opportunity? From compensation to interaction to culture. What's your thoughts? >> There's a few things I'll subdivide it into things that relate to my bread and butter which is communities and things just more broadly in technology. The one thing I'm really excited about communities is I feel like the value proposition has become well understood, is not just in open source but outside with Proctor & Gamble, H&R Block, Harley Davidson, all these examples. Where people see the value in doing this work and doing it well. And that's great because I think we're improving the state-of-the-art of how we do this. One of the reasons why I got into this was I want my career to leave a fingerprint on structured, predictable ways in which we can do this as opposed to seeming magic science that a lot of people seem to think community is. >> John: Or a series of one-offs that are not understood or can't be operationalized or leveraged in any way. >> Jono: Yeah, exactly. From a technology perspective, there's a bunch of things. I'm really excited about crowdsource security, things like HackerOne, Bugcrowd, Synack, things like that. I think there's a lot of excitement in my mind around bringing open source into financial services. I think that's an industry that's ripe to be disrupted which is a sentence I never thought I'd ever say. Ripe to be disrupted. (John laughs) And then I'm also really excited about the work that's going on obviously in A.I., but the intersection of A.I. with kind of like voice control. Obviously, things such as Google Home and Alexa, but also things like Mycroft. I think blockchain is interesting. It's kind of less interesting to me. It's not really something I've really been following very closely, but I think it is. I think it's pretty neat. But then also just the formalization of the end-to-end software development lifecycle and how we're seeing, you know, GitHub was transformative in technology for a lot of companies. And now we're seeing GitHub as one piece, and you've got continuous delivery and continuous deployment. And also, we manage ideas, the project manager, all that kind of stuff. >> I think there's a lot of transformative ideas coming. And I think it's super exciting. Congratulations on all the great work you're doing. >> Jono: Thank you. Appreciate it. >> I just think that the self-governing community model that's now becoming mainstream people are starting to figure out how to balance that with the command and control top down and hierarchy job definition specifics, and balancing that. I think the self-governing open source model certainly prove that. And communities as a working example of what you can operationalize. >> It's exciting. >> And crowdsourcing just takes it to the consumer level. >> Right. >> Okay, it's working there too. Okay, great job. Thanks for coming on. >> Thank you. >> John: Jono Bacon, >> John: Bacon Consulting. This is theCUBE. I'm John Furrier, Stu Miniman. More live coverage after this short break. (upbeat techno music)

Published Date : Sep 12 2017

SUMMARY :

Brought to you by the Linux Foundation and Red Hat. of the Open Source Summit in North America, Great to see you. and State of the Union, if you will, Whatever you want to call it. And I think what happens then is you get a greater bandwidth and interest at the events that matter for the audiences So, I think it's time to think architecturally And one of the things that's interesting to me is that it's alien to the people outside of this world, and reliability to the users. And one of the first questions they asked me was, a broad diverse community of people, you then, because the mainstream adoption of Linux, One of the things that was most transformative to me now that the rubber hits the road, and invariably a lot of the folks who are coming into it-- They don't know what success looks like. have the strategic background to internalize in the wild, but also an arbiter to the managers. that you got to approach there. John: Stu, get a word in, So, how do you manage that give and take So, for example, one of the first things Reminds me of the old ERP deployments. I think a lot of people look around thinking, but the old model things used to be You don't need me anymore, unless you want me. One of the things that I've noticed as well, But, I mean, that's the whole point. What's the minimum level that you need It's all about the outcome. And so, outcomes can be bastardized if you will, I think you can build a tiny community with one person. Because the people in that community But the group dynamic is critical. the interface of the thing you care about. For me, he's one of the people I most respect John: He's a great strategic thinker, One of the things that he said Aligning with them the fruits of their labor. the segment here on what's exciting you about Because the thesis is more people are coming in, One of the reasons why I got into this was John: Or a series of one-offs that are not understood I think that's an industry that's ripe to be disrupted And I think it's super exciting. Jono: Thank you. people are starting to figure out how to balance that Okay, it's working there too. This is theCUBE.

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Steve Pousty, Red Hat | Open Source Summit 2017


 

(mid-tempo music) >> Announcer: Live, from Los Angeles, it's The Cube. Covering Open source Summit North America 2017. Brought to you by the Linux Foundation and Red Hat. >> Okay welcome back and we're live in Los Angeles for The Cube's exclusive coverage of the Open Source Summit North America. I'm John Furrier, my co-host Stu Miniman, Our next guest is Steve Pousty, who's the Director of Developer Advocacy for Red Hat, Cube alumni, we last spoke at the Cisco Devnet Create, which is their new kind of cloud-native approach. Welcome Back. >> Thank you, thank you, glad to be here. >> We're here at the Open Source Summit, which is a recognition that of all these kind of ... With LinuxCon, all these things, coming events, it's a big ten event, love the direction, >> Yeah Validation to what's already happened and the recognition of open source, where Linux is at the heart of all that, Red Hat also you guys are the Linux standard, and gold standard, but there's more- >> We like to think of it that way, but- >> But there's more than Linux on top of it now, so this is a recognition that open source is so much more. >> For sure, I'm mean you can even see ... Who would've thought that there'd be a whole huge hubbub about Facebook doing a separate license for their react libraries and all the interactions with Apache, the Apache Foundation. Open source is so much ... it's the mainstream now. Like, basically, it's very hard to release a proprietary product right now and come up with some justification about why you have to do it. >> And why, and can it even be as good. >> Steve: Right. >> There's two issues, justification and performance. >> Yeah, quality, all that stuff. And also, customers' acceptability of that. Like, "Oh wait, you mean I can't actually even see the code? "I can't modify the code, I can't pay you to modify the code "and share it with everybody else?" I think customers have come to a whole ... Users of open source stuff, it's so permeated now that I think it's hard to be in the market without ... I mean, look at everybody who's here. Some of the people that are here were some of the biggest closed source people before. >> John: Microsoft is here. >> Exactly. >> John: IBM is here, although they've always been open, they were big on Linux early on. >> Yes. >> But now you're seeing the ecosystem grow, so we see some scale coming, but there's still a lot of work that needs to get done. We see greatness, like Kubernetes and Serverless offering great promise and hope for either multi-cloud workflow, workload management, all those cool stuff. But there's still some work to be done. >> Steve: For sure. >> What's your take on progress, where are we, what's the ... some of those under the hood things that need to get worked on? >> Well so, progress, I think ... the funny part is our expectations have changed so much over time that, so Kubernetes is about a little over two years old, and we're all like, oh it's moving so s-- why is it not doing this, this, and this? Whereas if this was like 10 years ago, the rate at which Kubernetes is moving is phenomenal. So, basically, every quarter there is a new release of Kubernetes, and we basically built OpenShift as a distribution on top of Kubernetes, and so we're delivering to our customers every quarter as well, and a bunch of them are like, "This is too fast, this is too fast, "like, we can't integrate all these changes." But at the same time, they say, "But don't slow down." Because, "Oh, next release we're going to get this thing "that we want and we know we want to go to that release." So, I think Kubernetes definitely has more growing room, but the thing is, how much it's already being seen as the standard, it's the ... so the way I like to talk about it, and I'll talk about this in my talk later, I think for Red Hat, Kubernetes is the cloud Linux kernel. It's the exact same story all over again. It's this infrastructure that everybody's going to build on. Now there are people who are standing up OpenStack on Kubernetes, or on OpenShift. So basically saying, "I don't want to install and manage "my Openstack, it's too difficult. "Give me some JSON and some components "and I'll just use Kubernetes as my operating plane." >> We saw Kubernetes right out of the gates, Stu and I, at the first Cube-Con, we were present at creation, and just on the doorstep of that thing just unfolded, and we saw the orchestration piece is huge, but I want to get your take if you can share with the audience, why Kubernetes has taken the world by storm. Why is it so relevant? What's all the hubbub about with Kubernetes? Share your opinion. >> Okay, so remember ... okay so this is a red shirt, and remember I work at Red Hat, so this obviously a biased opinion. I want to be up front about that. >> John: In your biased opinion ... >> Right, well as opposed to a neutral opinion, right, we definitely, so, I say that in front of my audiences just so that ... go do your own research, but from my perspective and what I've seen in the market place, there was a lot of orchestration and scheduling out there, then it kind of narrowed down, there's three players I would say right now. The three players all end with Kubernetes, but I just started with it (laughs). There's Kubernetes, there is Mesosphere, and there's Docker Swarm. I see those as being the three that are out there right now. And I think the reason we're ... So I won't talk about the others, but I see those ... Why Kubernetes has won is, one, community. So they have done a great job of being upstream, working with all people, being a very open community, open to working with others, not trying to make things just so it benefits Google's business but to benefit everybody. The other reason is the size of that community, right, everybody working together. The third is I think they, so some of it's luck, right? >> John: Yeah, timing is everything. >> Timing is everything. >> John: You're on a wave, and you're on your board and a big wave comes, you surf it, right? >> That's exactly, so I think what happened with Mesosphere is they're a great scheduler, and a lot of people said they were the best scheduler to start with. But they didn't really focus on containers to start with and it seems like they missed ... Like, Kubernetes said, "No, it's all about containers "and we're going to focus on container workload." And that's right where everybody else was. And so it was like, "I don't want to write "all that extra stuff from Mesosphere. "I want to do it with Kubernetes 'cause that's containers." And so that's the bit of luck lining up with the market. So I'd say it's the community but also recognizing that it's about containers to start with and containers are kind of taking over. >> Yeah, Steve, take us inside containers. You're wearing a shirt that says "Linux is Containers" on the front, if our audience could see the back it says "Containers are Linux." >> Steve: Exactly. >> Of course, Red Hat heavily involved. You're in the weeds, dealing with things that we're doing to make stability of containers, make sure it works in other environments. Tell us some of the things you're working on, some of the projects, and the like. >> So, some of the projects I'll be showing today, one is based off of OpenScap, Open S-C-A-P, it's another open consortium for scanning for vulnerabilities. We've written something called Atomic Scan, so it can take any OpenScap provider, plug it in to Atomic Scan, and you can scan a container image without having to actually run it. So, you don't actually have to start it up, it actually just goes in. The other thing I'm going to be talking about today is Bilda, this is part of the CNCF stuff. This is the ability to actually build a runC-compatible container without ever using Docker or MOBI. The way, a totally different approach to it, what you basically do is you say, "I want this container from this other container, or from blank," then you have a container there and then you actually mount the file system. So rather than actually booting a container and doing all sorts of steps in the container itself, you actually mount the file system, do normal operations on your machine like it was your normal file system, and then actually commit at the end. So it's another way for some of our customers that really like that idea of how they want to build and manage containers. But also, there's a bunch more. There's Kryo, which is the common runtime interface, and the implementation of it, so that Kubernetes can now run on an alternative container technology. This is Kryo, it's agnostic. If you looked at Kelsey Hightower's latest "Kubernetes and Anger," I think, or "Kubernetes the Hard Way" or something. His latest is building it all on Kryo. So rather than running on Docker, it runs ... All your container running happens on Kryo. I'm not trying to say, well of course I think it's better, but I think the point that we're really seeing is, by everything moving in to CNCF and the Linux Foundation and getting around standards, it's really enabled the ecosystem to take off. Like, TekTonic and CoreOS have done that with Rocket. We're going to see a lot more blossoming. The fertilizer has been applied, back from our ... >> Yeah, CNCF of two years old, I mean their fertilizer down big time, you got the manure and all the thousand flowers are blooming from that. >> Yeah, between Prometheus, I mean just, Prometheus, Istio, there's just ... I can't even keep track of it all. >> So Steve, you were talking earlier. Customers are having a hard time with that quarterly release. >> Steve: Yes. >> How do they keep up with all these projects, I mean you know, we rattled through all of 'em. You've got 'em all down pat, but the typical customer, do they need to worry about what do they have to focus on, how do they keep up with the pace change, how do they absorb all of this? >> Okay so it highly depends on the customer. There are some customers who are not our customers, I'll just say users, who are advanced enough on their own, who they're out there basically just, they're consuming the tip of what's coming out of CNCF. All that stuff, and they're picking and choosing and they're doing that all. For Red Hat, a lot of our customers are, "I like all that technology, you're our trusted advisor, "when you release it as a product "and I know I can sit on it for three years, "because you'll support it for at least three years, "maybe five years, then I'm going to start to consume it "and you'll actually probably put it into a more usable form for me." 'Cause a lot of the upstream stuff isn't necessary made direct for consumption. >> How are you guys dealing with the growth prospects. We've been talking about this all morning, this has been the big theme of this show is, not only just the renaming of a variety of different events, LinuxCon, but Open Source Summit is an encapsulation of all the projects that are blossoming across the board. So, the scale issues, and as a participant, Red Hat, >> Steve: Yes. >> Your biased opinion, but you're also incentive and you guys are active in the community. The growth that's coming is going to put pressure on the system. It may change the relationship between communities and vendors and how they're all working together, so again, to use the river analogy, there's a lot of water going to be pumping through the system. And so how's that going to impact the ecosystem, is it going to be the great growth that could flood everything, is there a potential for that, I mean you're an ecosystem guy, so the theory is there, it's like, Jim's stepping up with the Linux Foundation. I talked to him yesterday and he recognizes it. >> Steve: Yeah. >> But he also doesn't want to get in the way, either. >> Steve: No, no, no- >> So there's a balance of leadership that's needed. Your thoughts. >> So, I mean I think one of the things ... So I mean you know the Linux kernel has its benevolent dictator, and that works well for that one community, but then you'll see something like Kubernetes, where it's much more of a community base, there is no benevolent dictator for life on Kubernetes. I think one of the nice things that the Linux Foundation has done, and which Red Hat has acknowledged is, you know, let the community govern the way that works for that community. Don't try to force necessarily one model on it. In terms of the flood part that you were talking about, I think, if you want to go back to rivers, there's cycles in terms of 10 year floods, 100 year floods, I think what we're seeing right now is a big flood, and then what'll happen out of this is some things will shake out and other things won't. I don't expect every vendor that's here to be here next year. >> And find the high ground, I mean, I mean the numbers that Jim shared in his opening keynote is by 2026, 400 million libraries are going to be out there versus today's 64 roughly million. >> Steve: Right. >> You know, Ed from Cisco thinks that's understated, but now there's more code coming in, more people, and so a new generation is coming on board. This is going to be the great flood in open source. >> I also think it's a great opportunity for some companies. I mean, I'm not high enough in Red Hat to know what we're doing in that space, but it's also a great opportunity for some companies to help with that. Like, I think, that's one of the other things that Linux Foundation did was set up the Javascript Foundation. That is a community that-- >> But that doesn't have Node.js, it's a little bit separate. >> No, I know, but think-- >> You're talking about the js, okay. >> But I'm talking about, but if you think about the client-side javascript, forget Node. Just think about client-side javascript and how many frameworks are coming up all the time, and new libraries. >> Stu: That's a challenge. >> So I think actually that community could be one that could be good to maybe gain some lessons from, as things happen more in open source. I think there are other open source communities. Like, I'm wondering like GNOME-- >> But the feedback on the js community is that there's a lot of challenges in the volume of things happening. >> And that's coming for us though, right? >> Yeah. >> That's what's coming, that's what's going to come for this larger ecosystem, so I think maybe there's market opportunity, maybe there's new governance models, maybe there's ... I mean, this is where innovation comes from. There's a new problem that's come, it's a good problem. >> Your next point of failure is your opportunity to innovate. >> Exactly, and it's a good problem to have, right, as opposed to, we have too few projects, and we don't really, no one really likes them. Instead, now it's like, we've got so many projects and people are contributing, and everybody's excited, how do we manage that excitement? >> So another dynamic that we're observing, and again we're just speculating, we're pontificating, we're opining ... is fashion. Fashion, fashionable projects. Never fight fashion, my philosophy is. In marketing, don't fight the fashion. >> Steve: Right. >> CNCF is fashionable right now, people love it. It's popular, it's trendy, it's the hip new night club if you will in open source. Other projects are just as relevant. So, relevance and trending sometimes can be misconstrued. How do you guys think about that, because this is a dynamic, everyone wants to go to the best party. There a fear of missing out, I'm going to go check out Kubernetes, but also relevance matters. >> Yes. >> John: Your thoughts. >> So I've seen this discussion internally in engineering all the time, when we're talking about, 'cause you know OpenShift is trying to build a real distribution, not like, "Oh here is Kubernetes," but a real distribution. Like when Red Hat ships you the Linux, gives you Linux, we don't just say, "Here's the Linux kernel, have a good time." We put a whole bunch of stuff around it, and we're trying to do that with Kubernetes as well, so we're constantly evaluating all the like, "Should we switch to Prometheus now, "when's the time to switch to Prometheus? "Oh it's trending really hot. "Oh but does it give us the features?" >> John: It's a balance. >> It's a balance, it's going to have to come down to, I hate to say it-- >> It's a community, people vote with their code, so if something has traction, you got to take a look at it. >> But I would say, and this has been going on for a while, and I've seen other people talk about it, if you are the lead on an open source project, and you want a lot of community, you have to get into marketing. You can't just do-- >> John: You got to market the project. >> You got to, and not in the nasty term of market, which is that I'm going to lie to you and like, what a lot of developers think about like, "Oh I'm just going to give you bullshit and lie to you, "and it's not going to be helpful." No, market in terms of just getting your word out there so at least people know about it. Lead with all your-- >> John: Socialize it. >> Yeah. I mean, that's what you got to get it, so there is a lot of chatter now. How do you get it noticed as a Twitter person, right? You have to do some, it's the same, it's going to be more like that for open source projects. >> John: So we're doing our share to kind of extract the signal from some of the noise out there, and it's great to talk to you about it because you help give perspective. And certainly Red Hat, you're biased, that's okay, you're biased. Now, take your Red Hat off. >> Okay. >> Hat off. Take your Red Hat hat off >> Steve: Propaganda hat off. >> and put your neutral hat on. An observation of Open Source Summit, I'll see that name change kind of significance in the sense it's a big ten event. This event here, what's your thoughts on what it means? >> Hey c'mon Steve, you've got a PhD in ecology, so we want some detailed analysis as to how this all goes together. >> I mean it's good marketing, Open Source Summit, good name change, little bit broader. >> I'm actually glad for it. So, I've gone to some other smaller events, and I actually like this, because it was hard for me to get to the smaller events, or to get quite enough people. Like this actually builds a critical mass, and more cross-fertilization, right, so it's much easier for me to talk to containers to car people. 'Cause automotive Linux is here as well, right? >> John: You can't avoid it, you see 'em in the hallways, you can say, "Hey, let's chat." >> "Let's talk about that stuff," whereas in the small ... So, you know, this is more about conferences. There's a good side and a bad side to everything, just like I tell my kids, "When you pick up a stick, you also have to pick up the other end of the stick." You can't just like have, "Oh this is a great part," but you don't get the bad part. So the great part about this, really easy to see a lot of people, see a lot of interesting things that are happening. Bad part about this, it's going to be hard, like if this was just CNCF, everybody here would be CNCF, all the talks would be CNCF, it's like you could deep dive and really go. So, I think this is great that they have this. I don't think this gets, should get rid of smaller, more focused events. >> Well at CubeCon, our CubeCon, the CNCF event in Austin, we'll be there for The Cube. That will be CNCF all the time. >> Steve: Exactly. I'm glad they're still doing that. >> So they're going to have the satellite event, and I think that's the best way to do it. I think a big ten event like this is good because, this is small even today, but with the growth coming, it'll be convention hall size in a matter of years. >> Well, exactly, and the fact that you made it into a big, and the fact that you've made it into this cohesive event, rather than going to somebody and saying, "Hey, sponsor these five events." Like, No. Sponsor this one big event, and then we'll get most of the people here for you. >> It's also a celebration, too. A lot of these big ten events are ... 'Cause education you can get online, there are all kinds of collaboration tools online, but when you have these big ten events, one of the rare things is it's the face to face, people-centric, in the moment, engagement. So you're learning in a different way. It's a celebration. So I think open source is just too important right now, that this event will grow in my opinion. >> Steve: For sure. >> Bring even thousands and thousands of people. >> I mean, another way-- >> John: 30,000 at some point, easily. >> Yeah, I think definitely it's theirs to lose, let's put it that way. >> John: (laughing) I'll tell that to Jim "Hey, don't screw it up!" >> Don't screw it up. I think the way that you could almost think of this is OSS-Con, right, instead of Comic-Con, this is like, this can become OSS-Con, which is like, they should probably ... In the same way that the Kubernetes Foundation works and grows with a lot of other people, it would be great if they could bring in other Foundations as well to this. I know this is being run by the Linux, but it'd be great if we could get some Apache in here, some Eclipse in here, I mean that would just be-- >> John: A total home run. >> Those foundations bringing it in-- >> That would truly make it an open source summit. >> Yeah, exactly, as opposed to the World Series that's only in the United States. >> Yeah. (laughing) >> Although you know, I was at a hotel recently, and they had baseball on, it was little league baseball though. Their World Series is actually, Little League World Series is actually the World Series. >> John: It's a global World Series. >> Yeah, like their-- >> John: It's the world. >> Yeah, as opposed to the MLB, right? >> Alright, Steve, great to have you on, any final thoughts on interactions you've had, things you've learned from this event you'd like to share and pass on? >> No, I just think the space is great, I'm really excited to be in it. I'm starting to move a little bit more up to the application tier at my role at the company and I'm excited about that, to actually ... So I've been working down at the container tier, and orchestration tier for a while, and now I'm excited to get back to like, "Well now let's actually build some cool stuff "and see what this enables on the up--" >> And DevOps is going mainstream, which is a great trend, you're starting to see that momentum beachhead on the enterprises, so-- >> Oh, one takeaway message, for microservices people, please put an Ops person on your microservice team. Usually they start with the DBA, and then they say the middle person and the front-end people. I really want to make sure that they start including Ops in your microservice teams-- >> John: And why is that, what'd you learn there? >> Well because if you're going to do microservices, you're going to be, the team's going to end up doing Ops-y work. And it's kind of foolish not to bring in someone who already knows ... The reason you want all the team together is because they're going to own that. And you also want them to share knowledge. So, if I was on a microservice team, I would definitely want an Ops person teaching me how to do Ops for our stuff. I don't want to reinvent that myself. >> You got to have the right core competencies on that team. >> Steve: Yeah. It's like having the right people in the right position. >> Steve: Exactly. >> Skill player. >> Steve: Yeah, exactly. Okay we're here live in Los Angeles, The Cube's coverage of Open Source Summit North America. I'm John Furrier, Stu Miniman. More live coverage after this short break. (electronic music)

Published Date : Sep 12 2017

SUMMARY :

Brought to you by the Linux Foundation and Red Hat. of the Open Source Summit North America. it's a big ten event, love the direction, so this is a recognition that open source is so much more. about why you have to do it. "I can't modify the code, I can't pay you to modify the code John: IBM is here, although they've always been open, so we see some scale coming, that need to get worked on? so the way I like to talk about it, and just on the doorstep of that thing just unfolded, Okay, so remember ... okay so this is a red shirt, in the market place, there was a lot of orchestration And so that's the bit of luck lining up with the market. on the front, if our audience could see the back You're in the weeds, dealing with things that we're doing This is the ability to actually build and all the thousand flowers are blooming from that. I can't even keep track of it all. So Steve, you were talking earlier. I mean you know, we rattled through all of 'em. 'Cause a lot of the upstream stuff of all the projects that are blossoming across the board. And so how's that going to impact the ecosystem, So there's a balance of leadership that's needed. In terms of the flood part that you were talking about, I mean the numbers that Jim shared in his opening keynote This is going to be the great flood in open source. for some companies to help with that. But I'm talking about, but if you think that could be good to maybe gain some lessons from, a lot of challenges in the volume of things happening. I mean, this is where innovation comes from. is your opportunity to innovate. Exactly, and it's a good problem to have, right, In marketing, don't fight the fashion. it's the hip new night club if you will in open source. "when's the time to switch to Prometheus? so if something has traction, you got to take a look at it. and you want a lot of community, "Oh I'm just going to give you bullshit and lie to you, I mean, that's what you got to get it, and it's great to talk to you about it Take your Red Hat hat off in the sense it's a big ten event. as to how this all goes together. I mean it's good marketing, Open Source Summit, so it's much easier for me to talk John: You can't avoid it, you see 'em in the hallways, all the talks would be CNCF, it's like you could deep dive Well at CubeCon, our CubeCon, the CNCF event in Austin, Steve: Exactly. So they're going to have the satellite event, Well, exactly, and the fact that you made it into a big, one of the rare things is it's the face to face, Yeah, I think definitely it's theirs to lose, I think the way that you could almost think of this Yeah, exactly, as opposed to the World Series is actually the World Series. at the company and I'm excited about that, to actually ... and the front-end people. And it's kind of foolish not to bring in someone It's like having the right people in the right position. Steve: Yeah, exactly.

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Ed Warnicke, Cisco | Open Source Summit 2017


 

(cheerful music) >> Announcer: Live from Los Angeles, it's theCUBE! Covering Open Source Summit North America 2017. Brought to you by The Linux Foundation and Red Hat. >> Welcome back, and we're live here in Los Angeles. This is theCUBE's special coverage of Open Source Summit North America. I'm John Furrier with Stu Miniman. Two days of wall-to-wall coverage. Our next guest, Ed Warnicke, who is a distinguished consulting engineer with Cisco. Welcome to theCUBE. >> Glad to be here! >> Thanks for coming on. Love to get into it. We love infrastructure as code. We love the cloud developers. The young generation loves it. Making things easy to use all sounds great, but there's still work to get done. The networking... So what's going on here at the Open Source? So this is the big tent event where there's a lot of cross-pollination around projects. Obviously the networking side, you guys at Cisco are doing your share. Give us the update. Networking is still a lot more work to be done. It's a very strategic part of the equation. Certainly making it easier up above makes it programmable. >> Yeah, you have to make the networking invisible even to the DevOps layer. There are certain things that you need from the network. They need isolation and reachability. They need service discovery and service routing. But they don't want to have to think about it. They don't want to be burdened with understanding the nitty gritty details. They don't want to know what subnet they're on, they don't want to have to worry about ACL's, they don't want to think about all of that. And the truth is, there's a lot of work that goes into making the network invisible and ubiquitous for people. And in particular, one of the challenges that we see arising as the world moves more cloud-native, as the microservices get smaller, as the shift happens toward serverless, as Kubernetes is coming on with containers, is that the network is really becoming the run time. And that run time has the need to scale and perform like it never has before. So the number of microservices you'd like to put on a server keeps going up, and that means you need to be able to actually handle that. The amount of traffic that people want to push through them continues to go up. So your performance has to keep up. And that brings a lot of distinct challenges, particularly when you're trying to achieve those in systems that were designed for a world where you had maybe two NIC's on the box, where you weren't really thinking when the original infrastructure was built about the fact that you were actually going to have to do a hell of a lot of routing inside the server because you now have currently hundreds, but hopefully someday thousands and tens of thousands of microservices running there. >> Ed, you know, I think when we've been talking about the last 15 or 20 years or so, I need to move faster with my deployment. It always seemed that networking was the thing that held everything up. It's like, okay, wait, when I virtualized, everything's great and everything, and I can just spit up a VM and do that. Oh, but I need to wait for the network to be provisioned. What are the things you've been working on, what open source projects? There's a lot of them out there helping us to really help that overall agility of work today. >> Absolutely. So one of the things I'm deeply involved in right now is a project called FD.io, usually pronounced Fido, because it's cute. And it means we can give away puppies at conferences. It's great. What FD.io is doing, is we have this core technology called VPP that gives you incredibly performant, incredibly scalable networking purely in user space. Which means from a developer velocity point of view, we can have new features every three months. From an extensibility point of view, you can bring new network features as separate plugins you drop as .so's into a plugin directory instead of having to wait for the kernel to rev on your server. And the revving process is also substantially less invasive. So if you need to take a microservice network as a user space thing and rev it, it's a restart of a process. You're talking microseconds, not 15-minute reboot cycles. You're talking levels of disruption where you don't lose your TCP state, where you don't lose any of those things. And that's really crucial to having the kind of agility that you want in the network. And when I talk about performance and scalability, I'm not kidding. So one of the things we recently clocked out with VPP was being able to route a terabyte per second of traffic with millions of routes in the forwarding tables on commodity servers with no hardware existence at all. And the workloads are starting to grow in that direction. It's going to take them a while to catch up, but to your point about the network being the long pull, we want to be far ahead of that curve so it's not the long pull anymore. So you can achieve the agility that you need in DevOps and move innovative products forward. >> Ed, one of the things that comes up all the time, I wanted to get your reaction to this because you're an important part of it, is developers say, look, I love DevOps. And even ops guys are saying, we want to promote DevOps, so there's a mind meld there if you will. But then what they don't want is a black box. They want to see debugging, and they want to have ease of manageability. So I don't mind pushing dev, if I'm an ops guy, send the dev down, but they need a path of visibility. They need to have access to debug fast. Get access to some of those things. What do you see as gates if you will, that we got to get through to make that seamless and clean right now? Obviously Kubernetes, lot of stuff going on with orchestration. And containers are providing a path. But still, the complaint and nervousness is okay, you can touch and program the infrastructure, but if something happens, you're going to be reactive. >> Yeah, that gets exactly to the point. Because the more invisible the network is, the more visibility you need when things go wrong. And for general operational use. And one of the cool things that's happening in FD.io around that, is number one, it's industrial scale. So you have all sorts of counters and telemetry information that you need from an historical point of view in networks to be able to figure out what's going on. But beyond that, there's a whole lot of innovation that's been happening in the network space that has yet to trickle down all the way to the server edge. A really classic example on the visibility front has to do with in-band iOAM. So we now have the technology, and this is present today in VPP, to be able to say, hey, I would like an in-band trace on the flow though the network of this flow for this customer who's giving me a complaint, where I can see hop by hop through the network including in the edge where VPP is, what's the latency between hops? What path it actually passed through. And there's even a feature there where you could say, at each hop, please send the packet capture at that hop to a third-party point where I can collect it so I can look at it in something like Wireshark. So you can look in Wireshark and say, okay I see where this went into that node and came out that node this way. Node by node by node. I don't know how much more visibility than that is actually physically possible. And that's one of the kinds of things that the velocity of features that you have in VPP has made very possible. That's the kind of thing that would take a long time to work into the traditional development line for networking. >> What's the Cisco internal vibe right now? Because we covered the DevNet Create event that Susie Wee put on, which was kind of like a cloud-native cool event. Kind of grassroots, kind of guerrilla. I love the mojo there. But then you've got the DevNet community at Cisco, which is a robust killer developer community on the Cisco side. How are those worlds coming together? I can imagine that the appetite for the Cisco DevNet teams, the DevNet developer community, is looking at cloud-native as an opportunity. Can you share some insight into what's the sentiment, what's the community vibe, what's going on? For folks that just got to run the networks, I mean this is serious stuff. In the past, they've been like, cloud-native, when you're ready we'll get there. But now there seems to be an onboarding of cloud-native. Talk about the dynamic. >> There has to be, because cloud-native won't wait. And there's a lot of things that the network can do to help you as the run time. The iOAM example is one, but there are a ton more. Again, cloud-native won't wait. They will find a way, and so you have to be able to bring those features at the pace at which cloud-native proceeds. You can't do it on six-month product cycles. You can't do it on 12-month product cycles. You have to be able to respond point by point as things more forward. A good example of this is a lot of the stuff that's happening with server meshes in Insteon. Which is coming really fast. Not quite here, but coming really fast. And for that, the real question is, what can the network do for DevOps? Because there's a synergistic relationship between DevOps and NetOps. >> So you were saying... Just to try to get at the point. So yes, are you seeing that the DevNet community is saying hey we love this stuff? Because they're smart, they know how to adapt. Moving from networks to DevOps. To me it seems like they're connecting the dots. You share some-- Are they, yes no maybe? >> They're absolutely connecting the dots, but there's a whole pipeline with all of this. And DevNet is at the short pointy end where it touches the DevOps people. But to get there, there's a lot of things that have to do with identifying what are the real needs, getting the code written to actually do it, figuring out the proper innovations, engaging with open source communities like Kubernetes so that they're utilized. And by the time you get to DevNet, now we're at the point where you can explain them to DevOps, where they can use them really cleanly. One of the other things is, you want it to come through transparently. Because people want to be able to pick their Kubernetes Helm charts off the web, take the collection of containers for the parts of their application they don't want to have to think about, at least right now, and have it work. So you have to make sure you're supporting all the stuff that's there, and you have to work to be able to take advantage of those new features in the existing API's. Or better yet, just have the results of those API's get better without having to think about new features. >> So they're in great shape. It's not a collision, it's not friction. >> No, no no. >> It's pretty much synergistic. Network guys get the DevOps equation. >> No, we get the DevOps equation, we get the need. There is a learning process for both sides. We deeply need each other. Applications without networking are completely uninteresting. And this is even more true in microservices where it's becoming the run time for the network. On the same side, networks without applications are completely uninteresting because there's no one to talk. And what's fascinating to me is how many of the same problems get described in different language and so we'll talk past each other. So DevOps people will talk about service discovery and service routing. And what they're really saying is, I want a thing, I don't want to have to think about how to get to it. On the network side, for 15 years now, we've been talking about identifier/locator separation. Basically the having an IP address for the thing you want, and having the ability to transparently map that to the location where that thing is without having to... It's the classic renumber your network problem. They're at a very fundamental level the same problem. But it's a different language. >> The game is still the same. There's some language nuances that I think I see some synergies. I see people getting it. It's like learning two languages. Okay, the worlds come together. It's not a collision. But the interesting thing is networking has always been enabling opportunity. This is a fundamental nuance. If you can get this right, it's invisible, as you said. That's the end game. >> Absolutely. That's really what you're looking for. You want invisibility in the normal mode, and you want total transparency when something has to be debugged. The classic example with networks is, when there's a network problem it's almost never the network. It's almost always some little niggle of configuration that went wrong along the way. And so you need that transparency to be able to figure out okay, what's the point where things broke? Or what's the point where things are running suboptimally? Or am I getting the level of service that I need? Am I getting the latency I need, and so forth. And there's been a tendency in the past to shorthand many of those things with networking concepts that are completely meaningless to the underlying problem. People will look at subnets, and say for the same subnet, we should have low latency. Bullshit. I mean basically, if you're on the same subnet, the guy could be on the other end of the WAN in the modern era with L2 overlays. So if you want latency, you should be able to ask for a particular latency guarantee. >> It felt to me that it took the networking community a while to fix things when it came to virtualization. (Ed laughs) but the punch line is, when it comes to containers, and what's happening at Kubernetes, it feels like the networking community is rallying a lot faster and getting ahead of it. So what's different this time? You've got kind of that historical view on it. Are we doing better as an industry now, and why is it? >> So a couple of things. The Kubernetes guys have done a really nice job of laying out their networking API's. They didn't get bogged down in the internal guts of the network that no DevOps guy ever wants to have to see. They got really to the heart of the matter. So if you look at the guarantees that you have in Kubernetes, what is it? Every pod can talk to every other pod at L3. So L2 isn't even in the picture. Which is beautiful, because in the cloud, you need to worry about subnets like you need a hole in the head. Then if you want isolation, you specify a network policy. And you don't talk about IP addresses when you do that. You talk about selectors on labels for pods, which is a beautiful way to go about it. Because you're talking about things you actually care about. And then with services, you're really talking about how do I discover the service I want so I never have to figure out a pod IP? The system does it for me. And there are gaps in terms of there being things that people are going to be able to need to do that are not completely specified on those API's yet. But the things they've covered have been covered so well, and they're being defended so thoroughly, that it's actually making it easier because we can't come in and introduce concepts that harm DevOps. We're forced to work in a paradigm that serves it. >> Okay, great. So this'll be easy, so we'll be ready to tackle serverless. What's that going to mean for the network? >> Serverless gets to be even more interesting because the level of agility that you want in your network goes up. Because you can imagine something in serverless where you don't even want to start a pod until someone has made a request. So there's an L7 piece that has to be dealt with but then you have to worry about the efficiency of how do you actually move that TCP session to the actual instance that's come up for serverless for that thing, and how do you move it to the next thing? Because you're working at an L7, where from the client's point of view, they think it's all the same server, but it's actually been vulcanized across all these microservices. And so you have to find an efficient way of making that transparent that minimizes the degree to which you have to hairpin through things all over the cluster because that just introduces more latency, less throughput, more load on the cluster. You've got to be able to avoid that. And so, by being able to bring sophisticated features quickly to the data plain with something like FD.io and VPP, you can actually start peeling those problems off progressively as serverless matures. Because the truth of the matter is, no one really knows what those things are going to look like. We all like to believe we do, but you're going to find new problems as you go. It's the unknown unknowns that require the velocity. >> So it sounds like you're excited about serverless, though. >> Ed: Usually, yes, definitely. >> So I love serverless too, and I always talk about it. So what is in your opinion the confusion? There are some people who are like, oh it's bullshit. I don't think it is personally. I think it's nirvana. I think it's what people want, what most developers want. There's a server behind it. It's not serverless per se. It's just from a developer standpoint, you don't have to provision hardware. >> Or containers, or VM's, or any of that. >> I personally think it's a good thing. Is it just a better naming convention? Give the people, what's the nuance? Why are people confused? >> I think it's much more fundamental than just the naming convention. Because historically, if you look at the virtualization of workloads, every movement we've had to date has been about some workload run time technology. VM's were about virtual machines. Containers are about containers to run technology. When you get to microservices and serverless, we've made the leap from talking about the underlying technology that most developers don't care about to talking about the philosophy that they do. >> Their run time is their app. Their run time assembly is their code sandwich, not to say the network. >> Just as in serverless, I don't think anyone doubts that the first run of serverless is going to be built on containers. But the philosophy is completely divorced for them. So I'll give you an example. One of the things that we have in VPP is we have an ultra high performance, ultra high scalability userspace TCP stack. We're talking the kind of thing that can trivially handle ten million simultaneous connections with 200,000 new connections coming in every second. And right now, you can scope that to an isolation scope of a container. But there's no reason, with the technology we have, you can't scope it all the way down to a process. So you control the network access at the level of a process. So there's a lot of headroom to go even smaller than containers, even lighter weight than containers. But the serverless philosophy changes not a wit as you have that improvement come in. >> That's beautiful. Ed, thanks so much for coming on theCUBE. We really appreciate your perspective. I'd like you to get one final word in to end the segment. Describe what's happening here because the OS Summit, or the Open Source Summit, is the first of its kind, a big tent event. What's your take on it? What's the purpose of the event? What's your experience? Share with the folks who aren't here what this event is all about. >> It's really exciting, because as much as we love The Linux Foundation, and as much as we've all enjoyed things like LinuxCon in the past, the truth is, for years it's been bleeding beyond just Linux. I don't see the OS Summit so much as a shift in focus, as a recognition of what's developed. Last year we had the Open Source Summit here. We just called it LinuxCon. The year before we had the Open Source Summit here. We just called it LinuxCon. And so what's really happening is, we're recognizing what is. There's actually no new creation happening here. It's the recognition of what's evolved. >> And that is open source as a tier one reality that goes way beyond Linux, which is by the way super valuable at the kernel. >> Ed: Oh, we all love Linux. >> All Linux apps... The only apps are Linux apps. But it's a bigger thing. The growth and scale that's coming is unprecedented. I think a lot of people still are pitching themselves, Stu and I were commenting, that what's coming is going to change the face of software development for generations to come. There's an exponential scale of software libraries coming on board. Up to 400 million was forecast by 2026? >> That sounds conservative to me. (laughs) >> You think so? Well, I mean, just to get the scale. So there's going to be some leadership opportunities for the community, in my opinion. >> Absolutely. And this is where the Open Source Summit actually... I mean, words matter because they shape the way we think about things. So where I think the shift to the Open Source Summit has huge value is that it starts to shift the thinking into this broader space. It's not just a recognition of what's happened. It's a new load of software here for the community. >> This is not a marking then, it's a recognition of what's actually happening. I love that quote. Open Source Summit, brilliant move by The Linux Foundation. Create a big tent event for cross-pollination, sharing of ideas. This is the ethos of open source. Ed, thanks so much for coming on theCUBE. This is theCUBE with live coverage from the Open Source Summit in North America, formerly LinuxCon and all the other great events here in Los Angeles. I'm John Furrier with Stu Miniman. More live coverage after this short break. (electronic music)

Published Date : Sep 12 2017

SUMMARY :

Brought to you by The Linux Foundation and Red Hat. Welcome to theCUBE. We love the cloud developers. is that the network is really becoming the run time. What are the things you've been working on, So one of the things we recently clocked out with VPP Ed, one of the things that comes up all the time, that the velocity of features that you have in VPP I can imagine that the appetite for the Cisco DevNet teams, is a lot of the stuff that's happening So yes, are you seeing that the DevNet community And by the time you get to DevNet, So they're in great shape. Network guys get the DevOps equation. and having the ability to transparently map that The game is still the same. in the modern era with L2 overlays. but the punch line is, when it comes to containers, So L2 isn't even in the picture. What's that going to mean for the network? that minimizes the degree to which you don't have to provision hardware. Give the people, what's the nuance? from talking about the underlying technology not to say the network. One of the things that we have in VPP is the first of its kind, a big tent event. It's the recognition of what's evolved. And that is open source as a tier one reality is going to change the face of software development That sounds conservative to me. So there's going to be some leadership opportunities is that it starts to shift the thinking This is the ethos of open source.

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Day Two Kickoff | Open Source Summit 2017


 

(upbeat music) >> Narrator: Live from Los Angeles, it's theCUBE, covering Open Source Summit North America 2017, brought to you by The Linux Foundation and Red Hat. >> Hello there and welcome to our special exclusive SiliconANGLE Media CUBE coverage here in Los Angeles, California, for the Open Source Summit North America. I'm John Furrier, my co-host, Stu Miniman, for the two days of wall-to-wall coverage, this is day two of our coverage of what's going on in the Open Source world as the Linux Foundation consolidates their shows into a big tent event. This is the inaugural event of now consolidated, a bunch of little shows come together. This is the big show where the Linux Foundation brings their entire communities together to talk and cross-pollinate with Jim Zemlin, the Executive Director, as they outline that. Stu, we're in our kickoff of day two, we're going to do some analysis and commentary, but before we start I want to get your thoughts on just day one. Yesterday we had a lot of guests, a lot of activities going on at night, we kind of divided and conquered. What did you find out? >> Yeah so John you'd done some coverage of LinuxCon a couple of years ago, it's my first time coming to this show. We do a lot of Open Source coverage with theCUBE's over the years, so coming in it was like, okay, what are we going to be talking about, what's the vibe? And being a big tent event, you know, I was a little surprised to see, I mean, the conversation's the same that we've been hearing the last year. Kubernetes, kind of the big wave that's coming in, not just in Open Source, but really the conversation in cloud, and really was kind of the top issue that kind of containerization, the new way of architecting things, you know, Linux absolutely is down there underneath, and majorly important but, you know, it seems to be that rallying around everything Kubernetes. MesosCon's right next door, and we said two years ago you never would have thought that, Kubernetes, that Mesos would be saying, you know, the best place to run Kubernetes is on DCOS. You know, it was the container wars, the orchestration wars, all those things. Kubernetes really leading the charge there, and it really fed into a lot of the conversations we had here. And in our conversations, like with Christine Corbett, and in some of the keynotes this morning, really talking about the power of collaboration, community, you know, stuff like that, we were passionate about John. >> Yeah, I mean, Stu, here's my take on the big story coming out of L.A. for this event. And I think the top line story is this. The Open Source community has had so much success going in the early days and depending which generation you want to call it, you know, we're a little bit older, old school, maybe fourth generation, you can argue the point but here's the bottom line. The big story is that the Linux Foundation, Linux apps, are everywhere, it's a global standard, it is happening. And the scale of which the growth that's going to be coming is unprecedented, and I think for the first time in the history of the computer industry, you're seeing a pause. You're seeing a moment of excitement from the executive director, the Linux Foundation, the board members, and the participants in the community who are realizing, holy shit, this is going to grow very huge. And Open Source is going to go to a whole 'nother growth level, it's going to be exponential in scale, and you're going to see some blitzscaling going on, as Jerry Chen at Greylock and Reid Hoffman talk about. And that's going to change the nature of the participation. You're going to start to see new accelerated things, certification, the role of the foundation certainly has always been to serve the sustainable communities of Open Source. Their role will change as stewards of Open Source, the responsibility and the reliance on the Open Source software will continue to grow, and I think that scale phenomenon of Open Source is, potentially, might be the biggest wave of all, Stu, and I think some people are going to be washed like driftwood and some people are going to thrive and survive. >> You know, it's interesting, we look back at Linux, and Linux took a long time, you know, more than a decade, to really kind of gain mainstream adoption. You know, Red Hat, of course came out of with kind of the leadership and the dollars, but Linux was the foundation for everything being built today. There would be no Google without Linux. There would be no Amazon as we know it today without Linux. And I really liked, I think it was strong resonance, everybody's a little surprised, Joseph Gordon-Levitt in the keynote this morning, someone that we know, you know, from the movies, and we're here in L.A., they're like, oh great, they brought an actor. Well, he's actually pretty passionate. He has this website hitrecord.org, where they do, you know, collaboration, and it's people that are drawing and creating music and creating little clips and everything and they said how a community can help build on what they're doing. He said it's about community, fair compensation, and collaborating, rather than just socializing and sharing or any of those things. And something we've talked a lot is, what is the translation of participating in the community translate into dollars, translate into value. I know it's something you're really passionate about. >> Yeah, Stu, this is again, the big story is the growth. But let's unpack that a little bit. Open Source has always been about sharing, it's always been about community, it's been about innovation, freedom, they called them radicals in the early days but now they got to grow, flexibility, and execution. Here's the bottom line. The leadership of the Open Source is going to morph radically. Look at the program here. You got inclusion, you got a little politics, not like politics of open source, politics of cultural shaping with Christine Corbett Morgan, so she's talking about that, it's very relevant. You have Dan Lyons coming in, talking about the programmer culture, you have the actor coming in talking about collective intelligence. I believe that there's going to be a new way of how people are going to be compensated, how participation's going to scale and this comes down to some key tell tale signs. One, a new generation's coming into the Open Source world, this younger generation. They love Serverless, the love DevOps, because they don't want to deal with the infrastructure. So all the old folks, guys like our age, and gals, they have to provide leadership. I talked with Sam Ramji about this in detail, about how some of these stewards in the community have to step up and be leaders in a new way of governing because as the onboarding of more source code, more projects with IOT, with cloud, you're going to see a new generation of young developers that quite frankly are going to want to run fast, run faster, and they don't want to deal with networking, they don't want to, they want serverless, they want true programmable infrastructure, and that's going to potentially cause some changes, maybe at the leadership level but also how they run things. So, I think, Stu, this is something that we're watching as a big wave. >> Yeah, and it's funny because, we always talk, I'd love to be able to extract a way, even virtualization, oh, we're going to make it real simple, you don't have to worry it anymore, well, you know, John, we got some more interviews today, you know. Networking, storage, these things just don't magically, fairy dust, everything works really well, you know. Data has gravity, networking has lots of challenges we have to worry about. Open Source is now infused into all of these environments. Really helping to build those distributed architectures. We had a number of interviews yesterday talking about, these things are not easy, these are tough challenges. You know, even you talk to people and say, "Kubernetes is awesome," sure is not simple, it is not easy to crawl out. >> They've not graduated any projects out of the CNCF yet, talking to Chris yesterday, the COO, he said, "look, we haven't even graduated anything out of," but this is the point, Stu. Kubernetes is a tell sign, that's not fully-baked yet, it's an under-the-hood feature. Serverless, which I love the name and hate it at the same time because there's servers out there. The notion is that the due developers don't want a provision hardware, to them they just want a resource pool, so serverless is a good trend. The name is kind of weak in my opinion, but I kind of love it and hate it at the same time, I mean. >> John, it's just like cloud was 10 years ago. >> What do you think of Serverless, Stu? I mean bottom line is that how could you not like Serverless because as a developer you're just programming infrastructure as code. >> Right, absolutely, I want to be able to use things in a much more granular format, I want to be able to when I'm not using it not pay for it, it really fits into that environment. Something of course, with this show we're talking about is today, you say Serverless, I think AWS Lambda. The proprietary offering, how does something like Kubernetes fit into that? There's containers underneath, but there are a few different Open Source versions that functions as a service. There's Open FaaS, there's OpenWhisk, there's a couple of others, so how will I be able to take what we were liking about containers in general and Kubernetes specifically, that I can work across a number of environments to make sure that I'm not, John, I'm going to say the word, locked in, to a certain provider or a certain piece of the ecosystem. >> Well, Open Source is so robust right now. Again, 10% of the original ideas can be written in code that could be part of the 90% Open Source base code base. Jim Zemlin, the executive director called that the Code Sandwich. But the bottom line in my opinion, Stu, and you were just pointing it out is that the leadership has to scale. And I think one of the things that came up in some of my hallway conversations last night, talking to some folks who have been early on in Open Source, in the old days you had to hate someone, there was an enemy. There was Microsoft, and now they're on board. There was the big proprietary main mini-computer guys, the proprietary operating systems, they were the enemy. Who's the enemy now? The enemy is slowness, right? So, kind of the fundamental question is, Open Source doesn't have that enemy anymore, it's the standard. So the question is what is going to motivate the organizations? To me, I think it's speed. Speed is the new normal, scale is the new normal. Slowness and silos will be the enemy. >> Absolutely, John. It's something I've heard at a number of events we've been at recently, companies' number one thing is not cost, it's speed, and one of the reasons that so many companies work on, contribute to Open Source is to help them with that speed. They can't wait for the turn of the crank from the old software beast, or oh gosh, there are some chips or hardware involved in that? Open Source, I want to be able to contribute to the code, work on the code, ship it, move faster. >> And the other thing that came up yesterday, I want to get your thoughts and reaction to, is do you have a fashion model going on here? Never fight fashion, as we say, a good marketer would say. You have CNCF is very fashionable right now. But there's blogging and tackling projects that have been around for a while, like the networking piece. These are stable, great projects. They just don't have the pomp and circumstance as CNCF have. So, the balance of being trendy is an issue now for these Open Source communities. No one wants to work on a project that's boring but the relevance is important. So how do you react to that, Stu, because this is now a dynamic, it's kind of been there for a while, but now with the plethora of projects out there, are you nervous that fashion, fashionable trendy projects like CNCF, might suck all the option out of the governance? >> No, John, I mean, from a press and a marketing standpoint they get the attention, but I think that the stats really prove out, there's so many projects out there. Everybody's contributing to a lot of them, but it is something the developers should think about. We did an interview of a company, I remember years back, said, "how do you get the best people "and how do they choose what to do?" "Oh, whatever they feel is good." And I'm like, well, come on, you got to put a little bit of a business guidance on that to make sure what's going to help your business, what's going to help your career, if you're an individual contributing to this. There are plenty of options out there, both for starting new things as well as contributing to the big ones out there. And I liked what I was hearing from the Linux Foundation as to how they're going to give some governance to companies as to the health, that whole CHAOSS that they rolled out, talk about the health and the circular maintenance of things out there, but you know, so much activity. Kubernetes by no means is taking all of the attention, it just happens to be the current hotness. >> Well, there's some key under-the-hood details that are being worked on, that's the exciting part. Linux is a standard, it is powering. Most of the apps that are written are essential Linux apps if you look at the OS underneath. And again, the apps, again, the DevOps mindset is here, and now it's scaling and things like Serverless are going to be more greatness for developers, certainly as companies like Google, IBM, and others come in with real code and share and collaborate, a lot of people can participate in the greatness of Open Source, and I think that's, the future is bright for Linux and the Open Source Summit community. Stu, day two continues, live coverage here in Los Angeles. This is theCUBE, I'm John Furrier, Stu Miniman. Coverage of the Open Source Summit North America, in Los Angeles. We'll be right back with more after this short break. (upbeat music)

Published Date : Sep 12 2017

SUMMARY :

brought to you by The Linux Foundation and Red Hat. This is the big show where the Linux Foundation brings their fed into a lot of the conversations we had here. history of the computer industry, you're seeing a pause. in the keynote this morning, someone that we know, you know, The leadership of the Open Source is going to morph radically. Open Source is now infused into all of these environments. The notion is that the due developers don't want a I mean bottom line is that how could you not like Serverless of the ecosystem. pointing it out is that the leadership has to scale. it's speed, and one of the reasons that so many companies the plethora of projects out there, are you nervous talk about the health and the circular maintenance of things Coverage of the Open Source Summit North America,

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Chris Wright, Red Hat | Open Source Summit 2017


 

(lively, bouncy music) >> Host: Live from Los Angeles, it's The Cube, covering Open Source Summit North America 2017, brought to you by the.

Published Date : Sep 12 2017

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Chris Aniszczyk, CNCF | Open Source Summit 2017


 

(gentle music) >> Announcer: Live, from Los Angeles, it's theCUBE, covering Open Source Summit, North America, 2017, brought to you by the Linux Foundation and Red Hat. >> Okay welcome back, and we're live here in Los Angeles, this is theCUBE's exclusive coverage of the Linux Foundation's Open Source Summit North America. I'm John Furrier, your host with my co-host Stu Miniman. Our next guest is Chris Aniszczyk, who's the COO, Chief Operating Officer of the CNCF, the Cloud Native Compute Foundation, formerly Cube-Con, Cloud Native Foundation, all rolled into the most popular Linux Foundation project right now, very fashionable, cloud native, running on native clouds, Chris welcome back to theCUBE, good to see you. >> Awesome, it's been a while, great to be back. >> So you are the Chief Operating Officer of the hottest project, to me at least, in the Foundation. Not the most important, because there's a lot of really important, everything's important, you don't pick a favorite child, but, if one's trending, the CNCF is certainly trending, it's got the most sponsors, it's got the most participants, there's so much action going on, there's so much change and opportunity, around Kubernetes, around containers, around writing cloud-native applications. You've guys have really put together a nice foundation around that, nice group, congratulations. >> Thank you. >> Take a step back and explain to us, what the hell is the CNCF? We know what it is, we were there present at creation, but it's super-important, it's growing in relevance every day. Take a minute to explain. >> So I mean, you know, CNCF is all about providing a neutral home for cloud-native technology, and it's been about almost two years since our first board meeting and the idea was, there's a certain set of technology out there that are essentially micro-service-based, that live in containers that are centrally orchestrated by some process, right, that's essentially what we mean when we say cloud-native, right, and CNCF was seeded with Kubernetes as its first project, and as we've seen over the last couple of years, Kubernetes has grown quite well, they have a large community, diverse contributor base, and have done kind of extremely well. They're one of actually the fastest, highest velocity open source projects out there, maybe only, compared to the kernel is maybe a little bit faster but it's just great to kind of see it growing. >> Why is it so hot right now? What's the catalyst? >> So I think if we kind of step back and we look at the trends in industry, right, more and more companies are becoming software companies, you know, folks like John Deere, building IoT platforms. You need some type of infrastructure to run this stuff, and especially at scale. You know, imagine sensors in every tractor, farm or in every vehicle, you're going to need serious infrastructure and cloud native really is a way to scale those type of infrastructure needs and so this is kind of I think why you're seeing a lot of interest being piqued in CNCF-related technology. >> A lot of prototypes too. >> Chris, see you know, it's interesting, I look back you know, a year or two ago, and it was like, oh, it was like the orchestration wars, it was Swarm versus Mesos, and now I look at it in the last year it's like, wait, Mesos fully embracing it, MesosCon they're going to be talking about how Mesos is the best place to you know, Kubernetes on DCOS, containerd now part of the container wars, so the container wars, we're going to talk about OCI, you know, Amazon, Microsoft, of course Google, out there at the beginning. Is there anybody that's not on board that Kubernetes... >> I mean we really have the top five cloud providers in the world, depending on what metrics you look at, part of CNCF, you know there's some others out there that still aren't fully part of the family. Hopefully if you stay tuned over the next week or so you may hear some announcements coming from CNCF of other large cloudy-type companies joining the family. >> Every week there's a new platinum sponsor (Chris laughs) and you guys are getting a check every week it seems. >> To me it's great to see companies stepping up to the play and actually sustaining open source foundations that are critical to the actual business, and I think that it's great to see this involvement. So to me I'm personally thrilled, 'cause otherwise we'd be in a situation where if the top five cloud providers in the world weren't part of CNCF, maybe they'd be trying to do their own initiative, so it's great that we have these companies at the table, and all trying to build, you know, find their own pathway to cloud-native. >> You guys are hyper-growth right now, and you're new too, you're still kind of you know, >> Chris: Less than two years old! >> I mean it's amazing. So I want to put a little Jim Zemlin test to you, (Chris laughs) which is, in his keynote today he talked about, this is the big kind of event for the whole community of open source to come together, and again, you're talking 64 million libraries out there now. He projected by 2026, 400 million, it literally is a hockey stick growth, so you got growth there, so he talked about four things, my summary. Project health, so healthiness, sustainability, secure code, training, new members. What's your strategy re those four things? Keeping the CNCF healthy, you don't eat too much and choke on all of that growth... >> Yeah, so in terms of projects, we have a very unique governance structure in place when we designed CNCF. So we kind of have this independent technical operating committee, we kind of jokingly refer to them as a technical supreme court, but they are made up of people from, kind of luminaries in the container cloud-native space, they're from competing companies too, but they try to really wear an independent hat and make sure that we're, projects that we're accepting are high quality, are a good fit for the foundation, and so it's actually fairly hard to get a project in CNCF, 'cause it really requires the blessing of this TOC. So, even though we have 10 projects now in about two years, I think that's about a project every two months, which is an okay pace. The other unique thing that we're doing is we have different levels of projects, we have inception, incubation and graduation. Right now, we have no graduated projects in CNCF, believe it or not, Kubernetes has not graduated yet because they're still finalizing their governance for the project and they're almost there. Once they do that, they'll most likely graduate. >> They'll walk cap and gown all nine yards, eh? >> Exactly, it'll be great. December we'll have the cap and gown ceremony. But the other unique thing is we're not, we do annual kind of reviews for some of our projects, certain levels will be annually reviewed, and if they're not longer healthy or a good fit, we're okay archiving them, or telling, you know, telling them you know, maybe you're not a good fit anymore for the foundation, or you know. And so I think you have to have a process in place where sometimes you do have to move things to the attic. >> Do you have a high bar on the projects >> The initial bar is extremely, extremely high, and I think over time, we may see some projects that get recycled or moved to the attic, or maybe they maybe merged together, we'll see, so we're thinking about this already, so... >> John: Okay, security? >> Security, so we, all projects in CNCF that graduate have to partake in the core infrastructures best practices badging program, so if the CII has this great effort that is basically helping to ensure projects meet a minimal level of best practices that make their projects secure. You know, it doesn't give you like full-blown guarantee, but these are good practices. >> So you were leveraging pre-existing work, classic, open-source ethos. >> Exactly, and they have like a set of domain experts completely focused on security building out these practices and you'll notice Kubernetes recently merged in the CII Best Practices badge, so if you go to the readme, you'll actually see it, and you'll click through and you'll see all the things that they've had to sign off and check on that they participate in, and so all of our projects are kind of going >> Training. >> Training, yeah, we just recently announced couple things. One is we have a >> Looking good so far, you get an A plus. >> Yeah, so as of today we've launched the Certified Kubernetes Administrator Program or CKA for short. So we have folks that are getting trained on, and are having official stamps that they are certified Kubernetes administrators, and to me that's huge, given like how hot the space is, having some stamp of approval that they are really certified in the space is huge. So we also offer free training through edX, so we launched some training courses earlier, and to be honest, if you look at our member companies, lots of great folks out there providing training material. >> So one of the keynotes that Christine Corbett Moran was talking about in her keynote was, more inclusion so there's no ruling class. Now I know you really have a ruling class going on with your high bar, I get that. How are you getting new members in, what's the strategy, who are the new members, how are you going to manage the perception possibly that a few people control the swing votes at potentially big projects? >> So here what's interesting is, people joining CNCF, like I mentioned before, we have a TOC, right? So there's kind of this separation of, I don't say church and state, but like, so the governing board, people who pay to join CNCF, they pay to sustain our open source projects, and so essentially they help with, they pay for marketing, staff, events and so on. They actually don't have technical influence over the projects. You don't have to be a member to have technical influence over our projects. People join CNCF because they want to have a say in the overall budget of how marketing, events and stuff, and just overall support the organization. But on the technical side, there's this kind of firewall, there's an independent TOC, they make the technical decisions. You can't really pay to join that at all, you have to actually be heavily participating in that community. >> John: How does someone get in that group? Is there a code? >> They have to just be like a luminary, we have a kind of election process that happens every two or three years, depending on how things are structured, and it's independently elected by the CNCF member community, essentially, is the simplest way I can explain it. >> The other announcement you talked about, kind of the individual certification, but the KCSP sort of programs >> Correct, exactly. >> Maybe you can tell us a little bit about that. >> Yes, so we had a program set up so it's Kubernetes Certified Service Provider, KCSP, that basically >> rolls right off the tongue >> I know, right, exactly. Herbal space program, whatever, I think of sometimes video games when we say it, but essentially, the program was put in place that a lot of end users out there in companies that are new to cloud native, and they're new to Kubernetes, essentially want to find a trusted set of partners that they can rely on, services and other things, so we created KCSP as a way to vet a certain set of companies that have at least a minimum of three people that have passed the Kubernetes certification exam that I talked about, and are essentially participating upstream in some way actively in the Kubernetes community. So we got a couple handfuls of companies that have launched, which is great, and so now, given that we're growing so fast, companies out there that are early end users that are exploring the space now have a trusted set of companies that go look at, and we're hoping to grow that program over time too. So this is just phase one. >> All right, so Chris, the other thing that I want to make sure we talk about, the Open Container Initiative, so I think it was originally OCP, which of course is, >> Open Container Project which when OCP was announced, it was like, okay, the cold war of Docker versus CoreOS versus everybody else, (Chris laughs) trying to figure out what that container format was, we all shook hands, I took a nice selfie with Ben who was CEO at the time, and everybody. So 1.0 is out. So, container's fully mature, ready to be rolled out right? But what does it mean? >> So I mean it's funny 'cause I basically joined the Linux Foundation, to help both start CNCF and OCI around the same time, right, and OCI was very narrowly scoped to only care about a small set of container-specific issues. One around how do you actually really run containers, start, stop, all that kind of life cycle bit, and how are containers laid out on disk, we call that the image specification. So you have the runtime spec and the image spec, and those are just very limited core pieces, like that OCI was not opinionated on networking or storage or any of, those are all left to other initiatives. And so after almost two years, we shipped 1.0, we got basically all the major container players to agree that this is 1.0 and we're going to build off from this, and so if you look at Docker with it's containerd project, or you know, fully adopting OCI, the Mesos community is, Cloud Foundry, even AWS announced their container register's supporting OCI, so we got the 1.0 out there, now we're going to see an abundance of people building tools and other things. I think you'll see more end users out there exploring containers. I've talked to a lot of companies that I can't necessarily name, but there's a lot of folks out there that may not dive into container technology until there is actually a mature standard and they feel like this technology is just not going to go away or they're going to get locked into some specific platforms. So, with 1.0 out the door, you'll see over the next six to 12 months, more tools being built. We're actually working to roll out a certification program so you get that nice little, you know, hey, this product is OCI-certified and supports the spec, so you'll see that happen over the next... >> Okay, so you've got the runtime spec and the image format spec, >> Yep, those are the two big ones. >> All 1.0, we're ready to roll, what's the roadmap >> Yeah, what's next. So there are early discussions about what other mature areas are out there kind of in container land right now. There are some discussions around distribution, so having a standard API to basically fetch and push container images out there. If you look at it, each container registry has basically a different set of APIs, and wouldn't it be nice if we could all kind of easily work together and have maybe one set, a way to kind of distribute these things. So there are some early discussions around potentially building out a distribution specification, but that's something that the technical community has to decide within OCI to do, and so over the next couple of months we're having some meetings, we're doing a bigger meeting at DockerCon Europe coming up in October to basically try to figure out what's really next. So I think after we shipped 1.0 a lot of people took a little bit of a breather, a break, and say like, congratulate themselves, take some vacation over the summer, and now we're going to get back into the full swing of things over the next couple of months. >> Say, what's the big conversation here, obviously at your event in Austin, it's got a plug for, theCUBE will be live covering it as well. >> I know, I'm excited. >> What's the uptake, what's the conversation in the hallways, any meetings, give us some >> Yeah, so we're doing >> I know there's some big announcement coming on Wednesday, there's some stuff happening >> Yeah, so, you know, first coming Wednesday, so like I mentioned, we have 10 projects right now in CNCF. We have two projects currently out for vote. So one of them is Envoy. There's a company you've probably heard of, Lyft, ride-sharing company, but Envoy essentially is their fancy service mesh that powers the Lyft platform, and many other companies out there are actually taking advantage of Envoy. Google's playing around with it, integrating into the Istio project, which is pretty powerful, but Envoy is currently, it was invited by the TOC for a formal vote, the voting period started last week, so we're collecting votes from the nine TOC members, and once that voting period is hopefully we can announce whether the project was accepted or not. The other project in the pipeline is a project called Jaeger, which is from Uber, you know, nice to have Uber >> John: Jaegermeister. >> Yeah, Jaegermeister, a bit like it. It's nice to have a product from Uber, another product from Lyft, kind of it's nice to see >> And if you have too much Jaeger, you have to take the Lyft to get home, right? >> Exactly, correct. So you know, just like Envoy, Jaeger is, you know, was formally invited by the TOC, it's out for vote, and hopefully we'll count the votes soon and figure out if it gets accepted or not. So Jaeger is focused on distributed tracing, so one problem in micro-services land is once you kind of like refactor your application to kind of be micro-services-based, actually tracing and figuring out what happens when things go wrong is hard, and you need a really good set of distributed tracing tools, 'cause otherwise it's like the worst murder mystery, you have like no idea what's happened, so having solid distributed tracing solution like Jaeger is great, 'cause in CNCF we're going to have a project called OpenTracing, but that's just kind of like the spec of how you do things, there's no full-blown client-server distributed >> For instance you usually need it for manageability >> Exactly, and that's what Jaeger provides, and I'm excited to kind of have these two projects under consideration in CNCF. >> Is manageability the hottest thing going on right now in terms of conversations? (Chris sighs) Or is it more stability and getting projects graduating? >> Yeah, so like our big focus is like, we want to see projects graduate, kind of meet the minimum bar that the TOC set up for graduated projects. In terms of other hot areas that are under discussion in CNCF are storage, so for example we have a storage working group that's been working hard to kind of bring in all the vendors and different storage folks together, and there's some early work called the container storage interface, we call it CSI for short, and so you know there's another project at CNCF called CNI, which basically tried to build a standard around how networking is done in container land. CSI is doing the same thing because, you know, it's no fun rewriting your storage drivers for all the different orchestration systems out there, and so why not get together and build out a standard that is used by Kubernetes, by Mesos, by Cloud Foundry, by Docker, and just have it so they all work across these things. So that's what's happening, and it's still early days, but there's a lot of excitement in that. >> Okay, the event in Austin, what can people expect? Cube-Con. >> You're literally going to have the biggest gathering of Kubernetes and cloud-native talent. It's actually going to be one of our biggest events probably for the Linux Foundation at all. We're probably going to get 3-4,000 people minimum out there, and I'm stoked, we're going to have some... Schedule's not fully announced yet. I do secretly know some of the keynotes potentially, but just wait for that announcement, I promise you it's going to be great. >> And one question I get, just I thought I'd bring it up since you're here in the hot seat, lot of people coming in with, supporting you guys on the governing side, not even cyclical. How are you going to service them, how are you going to scale up, do you have confidence that you have the ability to execute against those sponsorships, support the members, what's your plan, can you share some insights, clarify that? >> You know, pressure makes diamonds, right? We have a lot of people at the right table, and we are doing some hiring, so we have a couple spots open for developer advocacy, technical writing, you know additive things that help our project overall. We're also trying to hire a head of marketing. So like, we are in the process of expanding the organization. >> Do you feel comfortable... >> I feel comfortable, like things are growing, things are moving at a fast clip, but we're doing the best we can to hire and don't be surprised if you hear some announcements soon about some fun hires. >> Well it's been great for us covering, we've been present and creating, if you will, this movement, which has been kind of cool, because it kind of a confluence of a couple of things coming together. >> Chris: Yeah, absolutely. >> It's just been really fun to watch, just the momentum from the cloud really early days, 2009 timeframe to now, it's been a real nice ride and congratulations to the entire community. >> Thank you, like for me it's just exciting to have all these companies sitting together at the same table, having Amazon join, and the other top fighters, all basically committing to saying, we are in the cloud-native, we may have different ways of getting there, but we're all committed working together at some level. So I'm stoked. >> Great momentum, and you guys doing some great work, congratulations. >> Thank you very much. >> And you know it's working when I get focused, hey can you, so and so, I'm like, oh yeah, no problem, oh wow, they're big time now, you guys are big time. Congratulations. >> Thank you, it's in phase one now, like we have the right people at the table >> Don't screw it up! (John and Chris laugh) As they say. It's on yours. Chris Aniszczyk, who's the COO of the Cloud Native Compute Foundation, the hottest area of Linux Foundation right now, a lot of action on cloud, cloud-native developers where DevOps is meeting, lot of progress in application development. Still, they're really only two years old, get involved, more inclusion the better. It's theCUBE, Cube coverage of CNCF. We'll be in Austin in December. >> Chris: Yep, six to eight. >> December 6 to 8, we'll be there live. More live coverage coming back in Los Angeles here for the Open Source Summit North America after this short break.

Published Date : Sep 12 2017

SUMMARY :

brought to you by the Linux Foundation and Red Hat. of the CNCF, the Cloud Native Compute Foundation, of the hottest project, to me at least, in the Foundation. Take a step back and explain to us, So I mean, you know, CNCF is all about and so this is kind of I think why you're seeing a lot talking about how Mesos is the best place to you know, in the world, depending on what metrics you look at, and you guys are getting a check every week it seems. and all trying to build, you know, find their own Keeping the CNCF healthy, you don't eat too much and so it's actually fairly hard to get a project in CNCF, for the foundation, or you know. and I think over time, we may see some projects so if the CII has this great effort So you were leveraging pre-existing work, One is we have a you get an A plus. and to be honest, if you look at our member companies, So one of the keynotes that Christine Corbett Moran and just overall support the organization. is the simplest way I can explain it. and they're new to Kubernetes, the cold war of Docker versus CoreOS the Linux Foundation, to help both start CNCF and OCI All 1.0, we're ready to roll, and so over the next couple of months Say, what's the big conversation here, and once that voting period is hopefully we can announce It's nice to have a product from Uber, the spec of how you do things, and I'm excited to kind of have these two projects CSI is doing the same thing because, you know, Okay, the event in Austin, what can people expect? I do secretly know some of the keynotes potentially, lot of people coming in with, supporting you guys We have a lot of people at the right table, and don't be surprised if you we've been present and creating, if you will, and congratulations to the entire community. having Amazon join, and the other top fighters, and you guys doing some great work, congratulations. And you know it's working when I get focused, the hottest area of Linux Foundation right now, for the Open Source Summit North America

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Matt Micene, Red Hat | Open Source Summit 2017


 

(relaxing guitar music) >> Announcer: Live from Los Angeles, it's theCUBE, covering Open Source Summit North America 2017. Brought to you by the Linux Foundation and Red Hat. >> Hey, welcome back everyone, live here in Los Angeles, this is CUBE's live coverage of Open Source Summit North America. I'm John Furrier, as part of the Linux Foundation I'm here with Stu Miniman, co-host now to Wikibon. [Unintelligible] Technical product marketing for Linux containers with Red Hat, welcome to theCUBE. >> Thanks for having me, pleasure to be here. >> Thanks for coming on, appreciate Red Hat has been, again, the gold standard when it comes to Open Source, this conference really is about Linux, so you can't go any further than to look at the shining example of success that is Red Hat. From when I was growing up, back in the day, when Open Source was radical, Tier 2, Tier 3 some would argue, alternative to the big boys who were the proprietary operating systems. Now, Tier 1, well documented, don't need to recycle all that, but the fact is, Rell is a Tier 1, supports multiple, seven, ten, how many years now has support Rell, is it over twelve? >> Yeah, we're 15 years of Red Hat Enterprise Linux at this point. >> Oh yeah, come on, John, remember when Red Hat Advance Server came out in, what was that, 2002, 2001, turned into Rell eventually. John, I was working for an infrastructure company and keepingupwiththecolonel.org was a total nightmare, and it needed some adult supervision, and that's what Red Hat brought. >> Yeah, of course, Stu, and this is well-known, every bang, this is Tier 1, is part of the operational infrastructure, so it's got to be stable, but now you've got all this growth going on, certainly we heard Zemlin talking about it on [Unintelligible] he's the Executive Director, saying, look it, we're going to have potentially by 2026 400 million libraries in Open Source. So certainly the Open Source realm is growing. >> Sure. >> Operating systems still has got to power all these applications and see what the best of both worlds, you want the stability foundational aspect of the operating system, while still encouraging experimentation, failure, growth, iteration, so Agile and DevOps Ethos is about Open Source, it is about trying it, same time you got to keep the lights on, they want downtime. What's your reaction, how do you guys look at that going forward? You want to enable more, but you don't want to break stuff. >> Yeah, I mean, that's really kind of one of the hearts of most of our customers' problems right, is if you put it in terms of spend, 75-80% of what people spend money on in IT right now, is keeping the lights on. That's really long-term not sustainable. Right, for anybody involved. So one of the things that we need to do, as an operating system, and as a... Broader than an just an operating system as a distribution, where customers come to us and not want just OS bits, but they also want tooling and application components. How do we draw that line between things that move a little bit faster and upstream, that are popular and people want and need access to, at the same time providing that really long-term, stable system user space that really shouldn't change over a long period of time, because that's what provides that sort of application stability that we can ride out over a long period of time. >> Matt, in the Keynote this morning, Jim put out a lot of stats, talking about 10,000 lines of code outed daily. 2,500 lines of code removed daily. 450 organizations contributing, so much going on in the space. What are they working on? What are some of the big issues, because it's stability, we've added growth, sure there's cool things like Coobernetties and containers, I remember that the hot t-shirt at the Red Hat Summit this year was Linux's containers, containers are Linux. So, we know a little bit about that story, so what sort of things is the community working on these days? >> Sure, so like you said, a lot of shiny objects, right? Even those objects, to be honest, they're not that shiny, you look at some of the original support for what's now Linux Containers, we're talking 2006, if you really want to draw the line, 2002, but there's a lot of things going on in new hardware enablement, it's not just new applications that are taking advantage of these different kinds of technologies, we've got new vendors coming out, ARM is about set to take off and add some new challenges and choices to the Enterprise customers. We've got a lot of folks who are working in networking, the networking is stacked within Rell has changed dramatically over the past ten years, and with Open Stack and things that are driving through DPDK, and into virtual functions and things along those lines, there's a lot of core stability and core change and things that we think of as stable over time. >> Matt, isn't some of those new work loads we spent a lot of time this last year hearing about edge computing, IoT, being something that's pretty important going forward, Linux looks like it's going to be a lot of these places, mobile, it's already all there. We talked this morning, 2017's the year of the Linux Desktop, just because there's so many devices now that are Linux, so how does the workload impact that? >> Yeah, so everything these days is really starting to get to the point where almost everything is a distributed workload. We've definitely left the single systems, single workload paradigm, and even the traditional up through the past few years, n-tier, we have app, web, and database, that's really starting to get pushed out across multiple devices. Not only is it getting compute closer to the edge with some of the IT devices, but simply looking at how we do reliability, stability, you mentioned DevOps, that whole ability to move that reliability layer away from relying on expensive components and hardware, or expensive components and software, they really distribute that layer of knowledge that the application and use more replaceable, more commodity sorts of productions. >> Matt, [Unintelligible] operations is, one of my degree in my undergraduate in computer science, and back in the 80s everything was just build your own operating systems, again, this is where systems come back. But even with the Cloud today is really a systems game, and all of us guys and gals from the old days are now in vogue again because the Cloud is an operating system. Now you got sub-systems, you got, maybe it's distributed a little bit more decentralized, but again, it's the same game, different era, if you will. So you're starting to see the absence on operating systems, so the question is Intel and the Grading Table, Paul Merit used to call Intel the hardened top, where a lot of proprietary stuff underneath that crust that no one really cares-- [Audio Cuts Out]

Published Date : Sep 12 2017

SUMMARY :

Brought to you by the Linux Foundation and Red Hat. I'm John Furrier, as part of the Linux Foundation has been, again, the gold standard Enterprise Linux at this point. and keepingupwiththecolonel.org was a So certainly the Open Source realm is growing. foundational aspect of the operating system, So one of the things that we need to do, and containers, I remember that the hot t-shirt draw the line, 2002, but there's a lot of things of the Linux Desktop, just because of knowledge that the application Intel and the Grading Table, Paul Merit

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Jim Zemlin, Linux Foundation | Open Source Summit 2017


 

>> Announcer: Live from Los Angeles it's The Cube covering Open Source Summit North America 2017. Brought to you by the Linux Foundation and Red Hat. >> Hey, welcome back everyone. We're here live in L.A. for the Linux Foundation Open Source Summit North America. I'm John Furrier, your host, with Stu Miniman, my co-host. Our next guest Jim Zemlin, Executive Director of the Linux Foundation, runs the whole show. Welcome back to The Cube, great to see you. >> Thank you, thank you. Runs the whole show is a little bit of an overstatement. >> Well, certainly great keynote up there, I mean, a lot of things coming together. Just some structural things. Let's get the update on what's going on structurally with the Linux Foundation, one, and then two, the keynote today, this morning, really kind of laid out the state of the union, if you will, and all cylinders are pumping, no doubt, on open source. So give the quick update on kind of what's going on with the Linux Foundation and then let's get in some of the trends inside the open source movement. >> Yeah, I mean, our organization has grown quite a bit in the last few years as evident by all the people who are here at this event. But our focus is really on the projects that are important to, you know, the stability, security, and growth of the global internet and of large-scale systems. And when you look at Linux or Node.js or things like our networking projects which are powering the production networks for 3 1/2 billion people, what we're really focused on is making sure those projects are healthy, making sure that they have great developers who write incredible code, that it's used to power things like China Mobile's network or AT&T's production network. And then, those firms are employing the developers who then write more code, you get more solutions, products, services based on Linux or whatever. More reinvestment, lather, rinse, repeat. It's that cycle we're trying to promote. >> So before we get into some of the stats, structurally, I know this show, we've Cube comments out there, clarify the structure. How the shows are rolling out, how are you guys putting together the big-tent events, and how developers can get involved in the specific events across, but now there's a ton of projects. But just at a high level, what's the structure? >> Yeah, so, you know, and I'll throw out a few stats. We have about 25,000 developers that attend all of our events which are all over the world. But we have our Open Source Summit which is really sort of a summit to come together and talk about these big-picture issues around sustainability to allow for cross-project collaboration. We have project-specific events so the CloudNativeCon, KubeCon event which is coming up in Austin which is going to be blow-out, you know, I'm expecting thousands of people. I think probably three, 4,000 people. >> And even more platinum sponsors than I've ever seen on any project before so huge demand. >> It's crazy, yeah. Yeah, you know, get it while it's good, right? All these things kind of go up and down but they're on the upswing. So we have project-specific and then in the networking sector, we have have the Open Networking Summit which is sort of similar to the Open Source Summit but much more focused on networking technology, SDN, and NFD, and that is going to be in L.A. next year and we'll have a U.S. event and then a European and an Asian. >> And this show's purpose is what? How would you position the Open Source Summit? >> The Open Source Summit is where all the projects come together and do cross-pollination. I mean, the idea here is that if you're just always in your silo, you can't actually appreciate what someone else is doing that may improve your project. >> And Jim, there's a couple of events that came together to make this 'cause it was LinuxCon, ContainerCon, and MesosCon is also co-resident so. >> Exactly, so we just decided after a while that all these events could come together and again, this cross-pollination of ideas. >> And they kind of did, they're just different hotels in Seattle last time. >> Yeah, exactly. That's enough, it's just going to be Open Source-- >> It's a big-tent event. >> It's a big-tent event and it really reflects how open source has gone mainstream in a way that I don't think any of us would've predicted even maybe five, six years ago. >> It's pretty massive. Just to quote some stats. 23 million plus open source developers, what you shared onstage there, want to get to your keynote. 41 billion lines of code. 1,000 plus new projects a day. 10,000 new versions pushed per day. 64 million repos on GitHub. Just amazing growth so this kind of points to obviously the rising tide is floating all boats. I made a comment, I tweeted, in the spirit of the joke of standing on the shoulders of giants before you, it's like, what shoulders are we standing on now? Because there's so many projects. Is there going to be like a legacy like the dual-star, badge values, been around for a while? You mentioned old news and you bring up Linus onstage. I mean, some projects are older, more mature, Bruce Wayne, Tier One, meat and potatoes, some got a little bit more flair and fashion to it, if you will. So you got new dynamics going on. Share your thoughts on this. >> Yeah, I mean, it's like the shoulders you're standing on are almost like stage-diving, right? Where it's just lots of people's shoulders that you're really bouncing around on. But the idea here, and what we really focus on, is what are the most important projects in the world and how do we make sure we sustain those projects. So those are the ones that you're going to generally see focused on here. Like, you know, if you've got two people contributing to one small repo for a very small project, that's probably not something that's going to be super high-profile here. But what we're trying to do is bring together sort of the big projects and also the key contributors. You know, if you look at the distribution of contribution, and this is the thing, I think, if you're a developer listening to something like this, someone who gives just one commit to a project to solve some kind of problem they might have, that's the vast majority of people. Somebody who does maybe five to 10 commits, you know, a little bit less, quite a bit less. The vast majority of code, people who give 25 or more commits to a project, small group of folks, they're here. >> I know Stu wants to ask a question, one final question on the growth 'cause this kind of reminds me of sports as we're like the ESPN of tech here for the community. If you look at the growth, you put a slide in there by SourceClear that show the projection, by 2026, at 400 million libraries, putting it today around, I think, 64 million. This is going to be like an owners meeting. It's kind of like they get together, this event because you are going to have so many projects 'cause this is kind of the vibe you got going on in here. The scale is massive, this is going to be almost like the owners meeting, the teams. Expansion's going to be coming, you have to deal with that, that's challenging. >> We're ready to grow, I mean, we've been working on systems and staffing and processes to help scale with that. You know, we take seriously that that code runs modern society. It keeps us private or doesn't as we saw with the Equifax hack which was a CVE in an open source project and we want to be ready to up our game. Let's say we could have secure coding class at this very event for the greatest developers who are working on our most important projects in the world. Would that make all of our lives better? Yes, absolutely. >> Yes, absolutely would. Yeah and you want to enable that, that's where you're going. >> That's exactly where we're going. >> Jim, the quote that jumped out at me that you gave in the keynote was, projects with sustainable ecosystems are the ones that matter. How do we balance all this? I heard in, you know, Linus's Q and A it was, look, individual's important but companies are important. You put up a slide and said, there's thousands and thousands of projects, sometimes we're going to get some really awesome stuff from three people contributing code versus the massive ecosystem with all the platinum providers so, it's always in technology, it's an and and it's very nuanced but how do we get our arms around this? How do we know where to focus? >> It's worth going back in time to understand where the future is going and study innovation theory, you know, Eric von Hippel at MIT, or Karim Lakhani at Harvard Business School. And you look at the framework, which is, you have corporations who underwrite a lot of development by hiring developers who have an equal importance in this and then users of that software. So those are your main constituents and sometimes they're the same people, right, or the same things. They're not mutually exclusive, they're actually self-reinforcing if you get the formula right and you make sure that the project is in good shape so that it gives confidence to industry or society that, hey, we can count on that. I think Heartbleed and OpenSSL maybe rattled people's cages like, hey, can we count on, not just this project, but can we count on open source period? So we spent a ton of time working with that project to provide them millions in resources, audited their code, expanded their testing, and we learned a hell of a lot about how to support these communities in the most important developer projects in the world and create that positive feedback loop, that's what we're doing. >> Yeah and Jim, it's, as an analyst, one of the things we're always asked is, right, how do I choose the right technology? Whereas companies now are contributing here so it's not just I'm putting dollars in, I'm putting manpower into this. And the foundations sometimes get a lot of lung from people, saying it's like, oh well, people throw money and what do they get out of it? I liked what I heard today, you talking about this cycle, and maybe talk to our audience a little bit about CHAOSS which I though was a nice, tongue-in-cheek acronym to say how you're actually going to bring order to the chaos that we see in the open source world. >> I'm going to come to this but I want to answer one quick question about the roles of organizations like ours. We are the roadies, the supporting cast, and the plumbers and the janitors of the system that keep things going but the real rock stars are the developers. If you think about it, Linux is worth $10 billion. An average kernel developer makes probably, let's say $150,000 a year, by the way, they make more than your average developer because they're in such high demand. The role of organizations like ours is such a tiny fraction financially of what is really fueling this model but it's an important one. What we ask ourselves all the time is, why do you need us? Who cares, right? Like, throw your code up on GitHub, you don't need the Linux Foundation, right? Why do we even exist? And the answer is to do things like this Community Health Analytics for Open Source Software, to provide the infrastructure for sustainability. Sustainability is something that we need to measure, right? How many developers are contributing to a project? Are they from a diverse community so that if one group goes away, there'll be somebody else there to do that work? How much test coverage do they have? Are there code quality metrics that we could look at? Do they have security practices like a responsible disclosure policy, a security mailing list? Have they recently fuzzed their code? Are they a community that's welcoming for people of different backgrounds? And so on and so forth. If you don't have a healthy project, you kind of don't want to bet your company on this project by using it in a production system, right? But here's the interesting thing, how many people are using that code in production also is a metric for health, right? Because that's where the reinvestment is going to come in the form of developers who are working on it. >> There's a difference between being proactive and jamming something down someone's throat. So you're taking an approach, if I get this right, to be kind of the same open source ethos, use some KPIs, key performance indicators, to give them a sense of success. But it's not an edict saying-- >> No, no, it can't be an edict. What you want to do is preserve the organic innovation that goes on in open source and get projects to go, and you'll notice that curve of sort of value to volume goes up and to the left, we could've written it to the right but, you know, the whole copyleft thing we love. How do you get that organic innovation to kind of go from this small project up and to the left? How do you capture that? Well, give tools to everyone so that they can better self-analyze. >> John: You get exponential growth with that. >> Exactly. >> If you try to control, it's linear but you bring it to the community, you get exponential growth. >> Exactly, so we studied a ton of innovation theory, we looked at how we could build frameworks to facilitate this kind of form of mass innovation and so that's where tools like CHAOSS which is being worked on by Red Hat and a lot of companies who want to figure out which project should I work on? How can I spot that one earlier? And we're excited about it. >> You know, I always joke, being the old guy that I am, in the late '80s, early '90s, '80s particularly when I was coding. We did everything, we wrote all the code. You bring up an interesting stat and you put the finger on, at least for me, and I think this is where a lot of us old timers who had to do all the libraries from scratch. You mentioned the code sandwich, the code club, the club sandwich, how code's being made and the interesting thing, as you point out, 90% of most great software is done with open source where the 10% innovation is done with original code or original content, if you will, and that that is the norm. So open source is now called the code sandwich because you can put your differentiation and that's a good use of time. >> That's the meat, right. >> That's the meat, it's not a wish sandwich to use the old Blues Brothers example but I mean look, the thing is is that that's dynamic is real, the code is leverageable, and that this is the dynamic so where'd the number come from? Because that seems really high to me but I love it. >> So that number came from a combination of Sonatype, SourceClear, and other organizations that monitor commercial reuse of software on a global basis. So these are the folks who are actually working with commercial industry to look at the makeup of their code, basically. You don't have to go far to look at a Node.js developer, they're using Node.js, they're taking packages out of NPM, and they're writing, they're cut and paste masters, but they write this critical component that's the meat of their application, it's what they do. >> But that's the innovation fabric that's happening. >> It also is a requirement because let's look at a modern, luxury vehicle today. It has 100 million lines of code in it. That's more than an F-35, like, fighter jet. That's an unbelievable amount of code. Toyota, who we work with, and you know, our AGL, our Automotive Grade Linux, is in their Camry. They couldn't write that code on their own. It's just too much. And this is how we get to autonomous vehicle control and things like that. >> I know you got a tight schedule, I want to make one more comment, get your reaction to it. I made a tweet and said, it's open bar in open source and with a reference to all the goodness being donated by companies, Google TensorFlow, there's a lot of other things coming in, these libraries. A lot of people are bringing really, really big IP to the table, IoT, and I kind of made an open remark 'cause a lot of the young kids, they think this is normal, like, well it's going to get better. Keep on drinking that open source. Is this normal? Is it going to be more like this in the future? Because you have essentially real intellectual property, like say from Google, being given to the open source communities as a gift for innovation. I mean, that is just unprecedented greatness. >> The reason for that is they're not doing it necessarily altruistically although I think you can take it that way, they're doing it in a way that betters themselves and others at the same time. I mean, it is a form of collective capitalism where they've realized, my value's over here, it is better for me to collaborate on underlying infrastructure software that my customers don't care about that's not critical to my system but I absolutely have to have and I'm going to focus on data or I'm going to focus on much higher-level innovation. And what that's doing is creating this hockey stick of innovation where, as we share more and more and more infrastructure software, and as that keeps moving up and up the stack, we all benefit. >> So in the theory of the management, bring up management theory, their theory, I'd love to get your thoughts on, is that they're betting on scale rather than trying to go for profits in the short-term, they'd much rather share intellectual property on the back-end value of scale and scale's the new competitive advantage. >> Exactly, take Kubernetes as an example. The fact that, today, and just even a couple years ago this wasn't known, we didn't quite know where this was going to be, but today you can take Node.js, build a container, you know, take an application, throw it into a container, and use Kubernetes to run it on Azure, Amazon, Google, or in a private cloud. That definition, the ability to do that, unlocks this massive developer productivity which creates more value which is more business opportunity for all these guys. You know, they're not doing it 'cause they're nice people, they're doing it 'cause they're unlocking market potential. >> And they're the real rock stars. Jim you're doing a great job. Congratulations on your success. You got a lot of growth in front of you, a lot of challenges and opportunities certainly with that and of course, the tech athletes out there doing the coding, they're the real rock stars, they're the real athletes. Of course, we get more on The Cube, thanks for your support with The Cube as well, appreciate that. >> Jim: Thank you, thanks for everything. >> Alright, this is live coverage from Open Source Summit North America in Los Angeles, California. I'm John Furrier, Stu Miniman, we'll be back with more live coverage after this short break.

Published Date : Sep 12 2017

SUMMARY :

Brought to you by the Linux Foundation and Red Hat. Our next guest Jim Zemlin, Executive Director of the Linux Foundation, runs the whole show. Runs the whole show is a little bit of an overstatement. the keynote today, this morning, really kind of laid out the state of the union, if you But our focus is really on the projects that are important to, you know, the stability, How the shows are rolling out, how are you guys putting together the big-tent events, which is going to be blow-out, you know, I'm expecting thousands of people. technology, SDN, and NFD, and that is going to be in L.A. next year and we'll have a U.S. I mean, the idea here is that if you're just always in your silo, you can't actually appreciate And Jim, there's a couple of events that came together to make this 'cause it was LinuxCon, Exactly, so we just decided after a while that all these events could come together That's enough, it's just going to be Open Source-- that I don't think any of us would've predicted even maybe five, six years ago. some got a little bit more flair and fashion to it, if you will. You know, if you look at the distribution of contribution, and this is the thing, I Expansion's going to be coming, you have to deal with that, that's challenging. to help scale with that. Yeah and you want to enable that, that's where you're going. Jim, the quote that jumped out at me that you gave in the keynote was, projects with And you look at the framework, which is, you have corporations who underwrite a lot of I liked what I heard today, you talking about this cycle, and maybe talk to our audience And the answer is to do things like this Community Health Analytics for Open Source Software, So you're taking an approach, if I get this right, to be kind of the same open source to the left, we could've written it to the right but, you know, the whole copyleft thing If you try to control, it's linear but you bring it to the community, you get exponential to facilitate this kind of form of mass innovation and so that's where tools like CHAOSS which So open source is now called the code sandwich because you can put your differentiation and Because that seems really high to me but I love it. You don't have to go far to look at a Node.js developer, they're using Node.js, they're Toyota, who we work with, and you know, our AGL, our Automotive Grade Linux, is in their I know you got a tight schedule, I want to make one more comment, get your reaction you can take it that way, they're doing it in a way that betters themselves and others So in the theory of the management, bring up management theory, their theory, I'd love That definition, the ability to do that, unlocks this massive developer productivity which Of course, we get more on The Cube, thanks for your support with The Cube as well, appreciate Alright, this is live coverage from Open Source Summit North America in Los Angeles,

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Tanmay Bakshi, IBM Honorary Cloud Advisor | Open Source Summit 2017


 

>> Announcer: Live from Los Angeles. It's theCUBE covering Open Source Summit North America 2017. Brought to you by, the Linux Foundation and Red Hat. >> Hello everyone, welcome back. Our live coverage, theCUBE's live coverage, of the Open Source Summit in North America, it's a part of the Linux Foundation. I'm John Furrier your host, with Stu Miniman our co-host. Our next guest is Tanmay Bakshi, who is an IBM honorary cloud advisor, algorithmist, former CUBE alumni. Great to see you. >> Thank you very much! Glad to be here! >> You get taller every year. It was what, three years ago, two years ago? >> I believe yeah, two years ago, Interconnect 2016. >> IBM show... doing a lot of great stuff. You're an IBM VIP, you're doing a lot of work with them. IBM Champion. >> Thank you >> Congratulations. >> Thank you. >> What's new? You're pushing any code today? >> Definitely! Now today, getting ready for my BoF that I've got tonight, it's been absolutely great. I've been working on a lot of new projects that I'm going to be talking about today and tomorrow at my keynote. Like I've been working on AskTanmay, or course you know, Interconnect 2016, very first time I presented AskTanmay. Since then, a lot has changed, I've incorporated real, deep learning algorithms, custom, with tensorflow. Into AskTanmay, AskTanmay now thinks about what it's actually looking at, using Watson as well, it's really interesting. And of course, new projects that I'm working on, including DeepSPADE, which actually, basically helps online communities, to detect, and of course report and flag spam, from different websites. For example, Stack Overflow, which I'm working on right now. >> So you're doing some deep learning stuff >> Tanmay: Yes >> with IBM Watson, the team, everything else. >> Tanmay: Exactly, yes. >> What's the coolest thing you've worked on, since we last talked? (laughing) >> Well it would have to be a tie between AskTanmay, DeepSPADE, and advancement to the Cognitive Story. As you know, from last time, I've been working on lots of interesting projects, like with AskTanmay, some great new updates that you'll hear about today. DeepSPADE itself though, I'd like to get a little bit more into that. There's actually, I mean of course, everyone listening right now has used Stack Overflow or Stack Exchange at one point in their lives. And so, they've probably noticed that, a little bit, here and there, you'd see a spam message on Stack Overflow, on a comment or post. And of course there are methods to try and prevent spam on Stack Overflow, but they aren't very effective. And that's why a group of programmers, known as Charcoal SE, actually went ahead and started creating, basically this sweep to try and prevent spam on Stack Exchange. And they call it, SmokeDetector. And it helps them to find and remove spam on Stack Exchange. >> This is so good until it goes out, and the battery needs to be replaced, and you got to get on a chair. But this whole SmokeDetector, this is a real way they help create a good, healthy community. >> Yes, exactly. So, they try and basically find spam, report to moderators, and if enough alarms are set off, they try and report it, or flag it automatically, via other people's accounts. And so basically, what I'm trying to do is, I mean, a few weeks ago, when I found out about what they're doing, I found out that they use regular expressions to try and find spam. And so they have, you know, years of people gathering experience, they're experts in this field. And they keep, you know, adding more regular expressions to try and find spam. And since I, you know, am really really passionate about deep learning, I thought why not try and help them out, trying to augment this sort of SmokeDetector, with deep learning. And so, they graciously donated their data set to me, which has a good amount of training, training rows for me to actually train a deep learning system to classify a post between spam or non-spam. And you'll be hearing a lot more about the model architecture, the CNN plus GRU model, that I've got running in Keras, tonight during my BoF. >> Now, machine learning, could be a real benefit to spam detection, cause the patterns. >> Tanmay: Exactly. >> Spammers tend to have their own patterns, >> Tanmay: Exactly. >> as do bots. >> Tanmay: Yes, exactly, exactly. And eventually, you realize that hey, maybe we're not using the same words in every post, but there's a specific pattern of words, or specific type of word, that always appears in a spam message. And machine learning would help us combat against that. And of course, in this case, maybe we don't actually have a word, or a specific website, or a specific phone number, that would trigger a regular expression alarm. But in the context that this website appears, machine learning can tell us that, "hey, yeah, this is probably a spam post." There are lots of really interesting places where machine learning can tie in with this, and help out with the accuracy. In fact, I've been able to reach around 98% accuracy, and around 15 thousand testing rows. So, I'm very glad with the results so far, and of course, I'm continuing to do all this brand retuning and everything... >> Alright, so how old are you this year? I can't keep the numbers straight. Are you 13, 14? >> Well originally, Interconnect 2016, I was 12, but now I'm 13 years old, and I'm going to be 14 in October, October 16th. >> Okay, so you're knocking on 14? >> Tanmay: Uh, not just yet there, I'll be 14... >> So, Tanmay, you're 14, you're time's done, at this point. But, one of your missions, to be serious, is helping to inspire the next generation. Especially here, at the Open Source Summit, give us a preview of what we're going to see in your keynote. >> Sure, definitely. And now, as you mentioned, in fact, I actually have a goal. Which is really to reach out to and help 100 thousand aspiring coders along their journey, of learning to code, and of course then applying that code in lots of different fields. In fact I'm actually, already around 4,500 people there. Which, I'm very very excited about. But today, during my BoF, as I mentioned, I'm going to be talking a lot about the in-depth of the DeepSpade and AskTanmay projects I've been working on. But tomorrow, during my keynote, you'll be hearing a lot about generally all the projects that I've been working on, and how they're impacting lots of different fields. Like, healthcare, utility, security via artificial intelligence and machine learning. >> So, when you first talked to us about AskTanmay, it's been what almost 18 months, I think there. What's changed, what's accelerating? I hear you throw out things like Tensorflow, not something we were talking about two years ago. >> Tanmay: Yeah. >> What have been some of the key learnings you've had, as you've really dug into this? >> Sure, in fact, this actually something that I'm going to be covering tonight. And that is, that AskTanmay, you could say, that it's DNA, well, from AskMSR, that was made in 2002. And I took that, revived it, and basically made it into AskTanmay. In its DNA, there were specific elements, like for example, it really relies on data redundancy. If there's no data redundancy, then AskTanmay doesn't do well. If you were to ask it where it was, where's the Open Source Summit North America going to be held, it wouldn't answer correctly, because it's not redundant enough on the internet. It's mentioned once or twice, but not more than that. And so, I learned that it's currently very, I guess you could say naive how it actually understands the data that it's collecting. However, over the past, I'd say around six or seven months, I've been able to implement a BiDAF or Bi-Directional Attention Flow, that was created by Allen AI. It's completely open-source, and it uses something that's called a SQuAD data set, or Stanford Question and Answer Data Set. In order to actually take paragraphs and questions, and try to return answers as snippets from the paragraphs. And so again, integrating AskTanmay, this allows me to really reduce the data redundancy requirement, able to merge very similar answers to have, you know better answers on the top of the list, and of course I'm able to have it more smart, it's not as naive. It actually understands the content that it's gathering from search engines. For example, Google and Bing, which I've also added search support for. So again, a lot has changed, using deep learning but still, sort of the key-points of AskTanmay requires very little computational power, very very cross-platform, runs on any operating system, including iOS, Android, etc. And of course, from there, open-source completely. >> So how has your life changed, since all the, you've been really in the spotlight, and well-deserved I think. It's been great to have you On theCUBE multiple times, thanks for coming on. >> Thank you No, definitely of course. >> Dave Vallante was just calling. He wants to ask you a few questions himself. Dave, if you're watching, we'll get you on, just call right now. What's going on, what are you going to do when... Are you like happy right now? Are you cool with everything? Or is there a point where you say, "Hey I want to play a little bit with different tools", you want more freedom? What's going on? >> Well, you see, right now I'm very very excited, I'm very happy with what I'm doing. Because of course I mean, my life generally has changed quite a bit since last Interconnect, you could say. From Interconnect 2016 to 17, to now. Of course, since then, I've been able to go into lots of different fields. Not only am I working with general deep learning at IBM Watson, now I'm working with lots of different tools. And I'm working especially, in terms of like, for example Linux. What I've been doing with open-source and everything. I've been able to create, for example, AskTanmay now integrated Keras and tensorflow. DeepSpade is actually built entirely off of tensorflow and Keras. And now I've also been able to venture into lots of different APIs as well. Not just with IBM Watson. Also things like, we've got the Dandelion API. Which AskTanmay also relies off of Dandelion, providing text similarity services for semantic and syntactic text similarity. Which, again, we'll be talking about tonight as well. So, yeah, lot's has changed, and of course, with all this sort of, new stuff that I'm able to show, or new media for which I'm able to share my knowledge, for example, all these, you know CUBE, interviews I've been doing, and of course all these keynotes, I'm able to really spread my message about AI, why I believe it's not only our future, but also our present. Like, for example, I also mentioned this last time. If you were to just open up your phone right now, you already see that you're, half of your phone is powered by AI. It's detecting that hey you're at your home right now, you just drove back from work, and it's this time on this day, so you probably want to open up this application. It predicts that, and provides you with that. Apart from that, things like Siri, Google Now, these are all powered by AI, they're already an integral part of our lives. And of course, what they're going to be doing in our lives to come is just absolutely great. With like, healthcare, providing artificial communication ability for people who can't communicate naturally. I think it's going to be really really interesting. >> Tanmay, it's always great have you on theCUBE. Congratulations. >> Tanmay: Thank you very much. >> AskTanmay, good projects. Let's stay in touch, as we start to produce more collaboration, we'd love to keep promoting your work. Great job. And you're an inspiration to many. >> Tanmay: Thank you very much, glad to be here. >> Thanks for coming on theCUBE. Live coverage from the Open Source Summit's theCUBE, in Los Angeles. I'm John Furrer, Stu Miniman. We'll be back with more live coverage after short this break. (upbeat music)

Published Date : Sep 11 2017

SUMMARY :

Brought to you by, Great to see you. It was what, three years ago, two years ago? You're an IBM VIP, you're doing a lot of work with them. that I'm going to be talking about today And it helps them to find and the battery needs to be replaced, And so they have, you know, could be a real benefit to spam detection, And eventually, you realize that hey, Alright, so how old are you this year? and I'm going to be 14 in October, October 16th. to be serious, And now, as you mentioned, in fact, I hear you throw out things like Tensorflow, and of course I'm able to have it more smart, It's been great to have you Thank you What's going on, what are you going to do when... And now I've also been able to venture into lots Tanmay, it's always great have you on theCUBE. And you're an inspiration to many. from the Open Source Summit's theCUBE, in Los Angeles.

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Arpit Joshipura, Linux Foundation | Open Source Summit 2017


 

(cheerful music) >> Voiceover: Live, from Los Angeles, it's theCUBE covering Open Source Summit North America 2017, brought to you by the Linux Foundation and Red Hat. >> Okay, welcome back here when we're here live with theCUBE coverage of Linux Foundation Open Source Summit North America in Los Angeles, I'm John Furrier, Stu Miniman, our next guest is Arpit Joshipura, General Manager of Networking the Linux Foundation. Welcome back to theCUBE, great to see you. >> Thank you, nice to be here again. >> Always good to talk networking, as Stu and I always say networking is probably the most active audience in our community, because at the end of the day, everything rolls downhill to networking when the people complain. It's like "where the hell's my WiFi, "where's the patent latency," networking SDN was supposed to solve all that. Stu, we're still talking about networking. When are we going to fix the network? It's always in the network, but important. In all seriousness, a lot of action continues and innovation to networking. >> Absolutely. >> What's the update? >> Update is very exciting. So first of all, I can confidently say that open source networking, not just networking, but open source networking is now mainstream. And it's mainstream in the telcos, in the carriers, service providers, it's getting there in the enterprise. And Linux Foundation is really proud to host eight of the top 10 projects that are in open source networking. ONAP, ODL, OPNFV, Fido, you know, the list goes on. And we're really excited about each of these projects, so good momentum. >> We've been seeing and talking about it too, we all, joking aside, the intro there, but in all seriousness we've been saying, we get better the network, it's finally happening. Has it been a maturization of the network itself, has it been industry force and what have been the forces of innovations been? OpenStack has done some great work, they're not getting a lot of love these days with some people, but still we've seen a lot of production workflows at OpenStack, OpenStack's still there, rocking and rolling. New projects are onboarding, you see the telcos getting business models around digital. What's the drivers? Why is network mainstream now? >> I think it's a very simple answer to that, and that is before 5G and IoT hit the market, network better be automated. It's a very simple requirement. And the reason is very self-explanatory, right? You can't have an IoT device on the call on hold while you get your service up (laughs). So, it's IoT, right? And it is the same thing on 5G, a lot of new use cases around cars or around low latency apps. You need automation, and in order to have automation, a carrier or a solution provider goes through a simple journey. Am I virtualized? Yes or no? Am I using the building blocks of SDN and NFV? Yes or no? And the third, which is now reality, which is, am I using open source to do it? Yes, and I'm going to do it. And that's the driver right? I mean it's all- >> Automation, when you started throwing out a lot of TLAs, you talk about SDN and NFV, we've got a four-letter acronym that we need to talk about. The Open Network Automation Platform. Why don't you bring your audience up to speed, what that is, the news that you have this week. >> Absolutely, so ONAP was launched earlier in 2017. It's a combination of two open source projects, ECOMP and Open-O, and we wanted to bring the community together versus sort of fragmented, and because our end users are asking for a harmonized solution. So we brought it together. It was launched earlier this year as we talked about, but the most significant thing is it has received tremendous support from the member community. So at OSS today, we just announced that Vodafone has joined as a platinum member. They will be on our board, and as you know Vodafone is one of the top providers. So if you add up all the subscribers that are being influenced by ONAP, they come to 55%. So out of the 4.5 billion subscribers that exist, more than 55% will be influenced by ONAP and the work that happens. That includes China Mobile, China Telecom, China Unicom, all of the China, Bell Canada, AT&T obviously who sort of was the founding member, Orange, Reliance Jio from India. So we've got, Comcast joined earlier in the quarter, so we've got cable companies, carriers, all joining. And to be very honest, I'll probably just give you the list of all the networking vendors that are participating here, and I've list Amdocs, Cisco, Ericsson, GigaSpaces, Hua Wei, IBM, Intel, Nokia, Tech Mahindra, VMware, ZTE, Juniper, you know, you name it. >> Arpit, I mean the long story short is-- >> Just cause they're involved does that mean they're actually working-- >> They're active. Active. >> we're not going to be critical on this. >> But come on, even Cisco's involved in the open source stuff, right? >> They've very active. >> We've had lots of guests on from Cisco, Lulu Tucker's been on many many times. We know the open source there, but it used to be, networking was very proprietary. Now, it wasn't SDNs going to totally change everything, it's lots of different pieces, lots of different projects. It kind of felt like the river slowly wearing down the mountain as to this transition from proprietary to open source. >> I think what happened is if you just look at four years back, it was proprietary. Not because people liked it, that was the only game in town. When the open source industry, especially in the networking, and this is a hundred year old industry, telecom right? When it came in in the desegregated manner, hardware and software separated, control plane separated from data plane, all of that happened, and what happened suddenly was each components started becoming mature. So they're production-ready components, and what ONAP and what Linux Foundation is intending to do this year is trying to bring all the components into a system solution. So that it's easy to deploy, and all you have to do is point, click a service, everything below it will all be automated and integrated. >> Well the telcos are under a lot of pressure. I mean this has been a decade run, over-the-top they've been struggling with that from years ago, decade ago or more. But now they're getting their act together. We're seeing some signs, even VMworld. Stu, Pat Gelsinger said 5G's the next big kahuna in networking the next 20 years, you can validate it. This is going to be a 20 year changeover, so as the Linux Foundation, which essentially is the organic growth engine for this community, what do you guys see in that 20 years? Cause I see 5G's going to create all these connection points. IoT is going to be massive. That's going to increase the surface area for potential attacks. We're seeing a networking paradigm that's moving from old guards Cisco, Juniper, and some of the names you mentioned. They got to make some changes. How are they adjusting? What's going on so the next 20 years we don't have more conflict and more identity politics. >> I'll tell you one thing, I come from a vendor community, right? So I really appreciate the work they're doing. Part of the reason you would have seen in the past a vendor dragging their feet is because of fragmentation in the community. You as a vendor do not know where to put your resources, people, and where you put your money. What we're doing at the Linux Foundation is starting to harmonize all that. And once you do that and you have enough of a scale and enough of a community, there is no shortage of people and developers that the vendors are contributing to. >> John: What's some of the proof points that you can share? >> Okay, so ONAP, from start to now, about 1100 Wiki members already. That means 1100 unique developers are joining the project. Over 50 members. We ran out of VMs, I mean it's like that has not happened in any project for over five years. We had to fire up people more. So you can see that... And this is not just, these are competitors, but if you step back and look at it, they're competitors from an end user perspective, but they're solving the common problem in which they don't get any money. They don't make any money. These are things that absolutely need to happen. The plumbing, the infrastructure, the orchestration, the control layer, the data plane layer, all of that need to just happen, it should just work. And let them differentiate on top. We are actively seeing almost everybody participating significantly. >> Stu, let's hear your thoughts on this. You guys are both, I view you guys both as experts and influencers in this networking ecosystem, so I got to ask you both a question. CNCF has gotten a lot of traction with funding, sponsorships are off the charts, you're seeing massive tractions, Stu, where you also see that KubeCon Cloud Native, but you have native clouds, I call them native clouds, in Amazon and then soon-to-be enterprises that want to run software-defined networking. So the question is do you see the same kind of support going for your group as CNCF's getting? Is it just fashionable at this point, CNCF? Why isn't the networking getting as much love at least from a sponsorship standpoint. >> Let's define love. So if you define love as the 2017 ONS, which is our largest networking summit, we grew that 10%, everything was off the charts. The feedback, the content-- >> John: The attendance growth or sponsorships? >> Attendance, sponsorships, CFPs were 5x oversubscribed. Call for papers, for submissions, 5x oversubscribed. So we had a hard time picking the best of the best. ONS 2018 is going to be here in LA, we've already started getting requests on, you know, so we're the same boat. >> So you feel good. >> We feel good. >> Not about this, like you're winning. >> No, but I tell you-- >> There'll be positive numbers we know from the hype scale horses, Stu, answer your question and then maybe you guys can comment. So is it a matter of that there's more buzz in positioning involved in the hype side of CNCF now, and there's just meat and potatoes being done in the networking world, Stu? Cause you and I both know, if no one has nothing to say, they've got to kind of market themselves. >> So John, think back to five years ago, how much hype and buzz there was around SDN. John, you and I interviewed like Martin Casado, he just bought for $1.4 billion, all these startups, lots of VC investment, so I think we're further down the maturity curve. Now networking's always-- >> John: People going to work, they're doing their job. >> It's real, it's in production-- >> It's funny-- >> It's not parb, I always say when you move from PowerPoint to production, real things happen. >> I always say, if there's going to be sizzle, I better see some steak on the grill, so what's happening is steak is cooking right now. >> And John, so one of the things we say, networking, no offense to all my friends in networking, networking is never sexy. >> Oh, come on Stu, networking is totally sexy. >> I always say it's cool again. >> Networking has never lost its edge. >> It absolutely is majorly important, but Arpit, take us in, you know, Kubernetes is hot, containers get a lot of buzz and everything. Networking, critical piece of making sure that this works, feels like, I think back to the virtualization days, it took us 10 years to kind of solve those things that that abstraction layer broke. It feels like networking is further ahead than it was, it's moving faster, we understand it's not something that's just kind of oh we'll let the networking guys get to it eventually. Networking and security, which often has that networking tie are front and center now. >> Very good point, and I think what you have to also sort of step back and look at is what are the problems that need to be solved from an end user perspective? So the hardest networking problems at the data plane control layers, check. Next big problem that remain to be solved was orchestration, data analytics, and things like that. Check, solve, with ONAP. Now the next problems that need to be solved are containerization of enterprise app, which is where Kubernetes and... and then how does containerization work with networking? That's all the C&I, the interfaces. I would say next year, you will start to see the interworking and the blend of these "hot projects" where they can all come together. >> Stu, you were there in 2010, I looked right in the camera and said to Dave Vellante, storage is not as sexy. And Dave called it snoreage, cause snoreage is boring. (Stu laughs) >> And at that time, the storage industry went on a run. And we well-documented that. Sexy is, networking is sexy. And I think that we-- >> I call it cool. >> And I just tweeted, 25g is a good indicator of a 20 year run, and networking is the big kahuna as Pat Gelsinger said in IoT, so I think, Stu, I think it's going to be very apparent, sexy. I just don't see a lot of amplifications, so you don't see a lot of people marketing the sizzle. I think, being done I would agree, but Stu, there's more buzz and hype on the CNCF side than networking. >> That's fair. I think it is always as you said, it's the initial phase of any project that gets a lot of clicks and a lot of interest, and people want to know about it. A lot of the buzz is around, just awareness. The classic marketing cycle, and I think we're past that. It was therefore ONAP in January, we're past that. >> Alright, so here's the question, final question. So the steak is coming off the grill in our metaphor here, what are people-- what is that product, what's happening, what is the big deliverable right now from a networking standpoint that people can bet on and know that they can cross the bridge into the future with it. >> You will see a visible difference, you as in an end user, an enterprise, or a residential consumer. You will see a significant difference in terms of how you get services. It's as simple as that. Why? Because it's all automated. Network on-demand, disaster recovery, video conference services. Why did over-the-top players, why were they so successful? If you need a Gmail ID, you go in, you get one. It's right there. Try getting a T1 line five years ago. That would be six weeks, six months. So with the automation in place, the models are converging. >> So provisionings are automatically happening-- >> Provisionings, service, and then the thing that you will not see but you will see in the services impact, is the closed loop automation that has all the analytics built in. Huge, huge. I mean, network is the richest source, and by the way, I'll come back next year and I'll tell you why we are cool again. Because all of a sudden, it's like oh my god look at that data and the analytics that the network is giving me. What can I do with it? You can do AI, you can do machine learning, you can do all these things. >> Well, we're looking forward to it, the eye of the storm is kind of happening now I think in networking, Stu and I always have debates about this, cause we see a lot of great action. Question is, let's see the proof points, you guys are doing some good work. Thanks for sharing, Arpit, really appreciate, General Manager of Networking at Linux Foundation. It's theCUBE, more live coverage from Los Angeles, the Open Source Summit North America. I'm John Furrier, Stu Miniman, be back with more live coverage after this short break. (techno music)

Published Date : Sep 11 2017

SUMMARY :

brought to you by the Linux Foundation and Red Hat. General Manager of Networking the Linux Foundation. It's always in the network, but important. And it's mainstream in the telcos, in the carriers, Has it been a maturization of the network itself, And it is the same thing on 5G, a lot of new use cases a lot of TLAs, you talk about SDN and NFV, And to be very honest, I'll probably just give you the mountain as to this transition So that it's easy to deploy, and all you have to do is in networking the next 20 years, you can validate it. Part of the reason you would have seen in the past all of that need to just happen, it should just work. So the question is do you see the same kind of support The feedback, the content-- we've already started getting requests on, you know, So is it a matter of that there's more buzz So John, think back to five years ago, It's not parb, I always say when you move I better see some steak on the grill, And John, so one of the things we say, but Arpit, take us in, you know, Now the next problems that need to be solved are and said to Dave Vellante, storage is not as sexy. And I think that we-- I think it's going to be very apparent, sexy. A lot of the buzz is around, just awareness. So the steak is coming off the grill in our metaphor here, You will see a visible difference, you as in at that data and the analytics the eye of the storm is kind of happening now

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Aaron Welch, Packet | Open Source Summit 2017


 

(upbeat guitar music) >> Announcer: Live from Los Angeles, it's theCUBE. Covering Open Source Summit, North America, 2017. Brought to you by the Linux Foundation, and Red Hat. >> Okay, welcome back, everyone, live here in LA for theCUBE's exclusive coverage of the Linux Foundation's Open Source Summit North America. I'm John Furrier with Stu Minimam. Our next guest is Aaron Welch who's the Co-founder and Head of Product at Packet. Welcome to theCUBE. >> Thank you. >> Innovation's booming, you're a product guy, so we'll have that product-founder perspective of the collision between open source, accelerating at a massive scale, not just in the classic sense of all the normal projects that are getting more and more derivative projects, but new projects. You get the hyperledger, you got IOT, you got a massive amount of collision going on between software and your world is about hosting all that, and making sure that it's on premise support with low latency at a multi-cloud architectures, so there's an architectural battle happening while open source is massively accelerating. >> Yeah. >> What's your take and reaction to all that? >> Yeah, it's pretty interesting, and I think especially with the advent of containers on the scale that we're now currently seeing them. Obviously, that's a technology that has been around for quite a while, but I think Docker finally fixed the user experience side of that and made it comfortable for developers to deploy on. And so now all of a sudden you have a sort of portability on the application level that the cloud always sort of promised, but didn't ever really deliver. You never really ran a AWS instance image on GCE, for example. You never really had that real portability, especially across clouds, or across facilities. But now with the advent of containers, both your development pipeline and your CICD pipeline, once you've obviously made the investment to get that all running properly, is so much more accelerated, and so much more isolated from, and doesn't rely so much on the traditional infrastructure gatekeepers. So I think the development cycle is accelerating in that regard, but also has enabled people to get... come full-circle, and now you have the ability to deploy your workload on specialized hardware, and target that, specifically. So we're going from a very abstracted cloud environment, where it's a certain amount of RAM and CPU, you don't even necessarily know your clock speed, to "I want to push my SSL offload to my network card" and people are able to do that. So that's an interesting thing over the last, I would say, three or four years. >> So, Aaron, I want you to take us back to the founding of Packet. >> Aaron: Sure. >> What was, why was it going, >> Why would we start >> we look at, >> A cloud company technology is changing so fast, we're talking about containers, heck, you're in New York City, we're probably going to be there. Serverless Conference is going to be there. Amazon's pushing the next generation. There's always the new, new, new, new thing, and there's companies that come out with the new, but the big guys are also jumping all over it. So where do you guys fit? What was the impotence for the start? >> Yeah, absolutely. Well, it's an interesting time. Most of the people when you're starting a company were like, "Are you completely out of your minds? Why would you start... That game has been won, you know, the cloud game."

Published Date : Sep 11 2017

SUMMARY :

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Christine Corbett Moran, Caltech | Open Source Summit 2017


 

>> [Voiceover] Live, from Los Angeles, it's theCUBE. Covering Open Source Summit, North America 2017. Brought to you by the Linux Foundation, and Red Hat.>> Hello everyone, welcome back to our special Cube live coverage of Linux Foundation's Open Source Summit North America here in LA, I'm John Furrier your co-host with Stu Mitiman. Our next guest is Christine Corbett Moran, Ph.D. at astronomy, astrophysics post-doctoral fellow at Caltech.>> That's right, it's a mouthful.>> Welcome to theCUBE, a mouthful but you're also keynoting, gave one of the talks opening day today after Jim Zemlin, on tech and culture and politics.>> That's right, yeah.>> Which I thought was fantastic. A lot of great notes there. Connect the dots for us metaphorically speaking, between Caltech and tech and culture. Why did you take that theme?>> Sure. So I've been involved in programming since I was an undergraduate in college. I studied computer science and always attending more and more conferences. hacker cons, security conferences, that sort of stuff. Very early on what attracted me to technology was not just the nitty gritty nuts and bolts of being able to solve a hard technical problem That was a lot of fun, but also the impact that it could have. So even as I went on a very academic track, I continued to make open source contributions. Really seeking that kind of cultural impact. And it wasn't something that I was real vocal about. Talking about. More talking about the technology side of things than the politics side of things. But in the past few years, I think with the rise of fake news, with the rise of various sorts of societal problems that we're seeing as a consequence of technology, I decided I was going to try to speak more to that end of things. So that we can focus on that as a technology community on what are we going to do with this enormous power that we have.>> And looking at that, a couple of direct questions for you, it was awesome talk. You get a lot in there. You were riffing some good stuff there with Jim as well. But you had made a comment that you originally wanted to be lawyer, you went to MIT, and you sort of got pulled in to the dark side>> That's right, yeah.>> In programming. As a former computer scientist myself, what got the bug take us through that moment. Was it you just started coding and said damn I love coding? What was the moment?>> Sure, so I was always talented in math and science. That was part of the reason why I was admitted to MIT and chose to go there. My late father was a lawyer. I didn't really have an example of a technologist in my life. So, to me, career wise I was going to be a lawyer, but I was interested in technology. What kind of lawyer is that? Patent attorney. So that was my career path. MIT, some sort of engineering, then a patent attorney. I got to MIT and realized I didn't have to be a attorney. I could just do the fun stuff. For some people that's the fun part. For me it ended up being when I took my first computer science class. Something that was fun, that I was good at, and that I really got addicted to kind of the feedback loop of you always have a problem you're trying to solve. It doesn't work, it doesn't work. Then you get it to work and then it's great for a minute and then there's a new problem to solve.>> That's a great story. I think it was very inspirational. A lot of folks of watching will be inspired by that. The other thing that inspired me in the key note was your comment about code and culture.>> [Christine] Yeah.>> I love this notion that code is now at a point where open source is a global phenomenon. You mentioned Earth and space.>> [Christine] Yeah.>> You know and all this sort of space is now Linux based now. But coding can shape culture. Explain what you mean by that, because I think it's one of those things that people might not see happening right now, but it is happening. You starting to see the more inclusionary roles and the communities are changing. Code is not just a tech thing. Explain what you mean by code-shaping culture.>> Well we can already that in terms of changing corporate culture. So, for example, 10 or 15, 20 years ago it might be inconceivable to make contributions that might benefit your corporate competitor. And we all have corporate competitors whether that's a nation, the US having competitors. Whether that's your local sports rivalry. We all have competitors, but open source has really shown that you're relying on things that you as a group, no matter what entity you are, you can't do as much as you can if you share your contributions and benefit from people around the globe. So that's one big way I've seen corporate culture in just every day culture change that people have recognized. Whether it's science, or corporate success, you can't do it alone. There's no lone genius. You really have to do it as a community.>> As a collective too you mentioned some of the ruling class and you kind of referring to not ruling class and open source, but also politics. In that gerrymandering was a word you used. We don't hear that often at conferences, but the idea of having more people exposed creates more data. Talk about what you mean by that because this is interesting. This truly is a democratization opportunity.>> [Christine] Absolutely.>> If not handled properly could go away.>> Yeah, I think am a little, I don't know if there's any Game of Thrones fans out there, but you know at some point this season and previous seasons you know Daenerys Targaryen is there and they're like well if you do this you're going to be the same evil person just new face. I think there's a risk of that in the open source community that if it ends up just being a few people it's the same oligarchy. The same sort of corruption just a different face to it. I don't think open source will go that way just based on the people that I've met in the community. It is something that we actively have to guard against and make sure that that we have as many people contributing to open source so that it's not just a few people who are capable of changing the world and have the power to decide whether it's going to be A or B, but as many people as possible.>> Christine, the kind of monetization of open source is always an interesting topic at these kind of shows. You had an interesting piece talking about young people contributing. You know contributing to open source. It's not just oh yeah do it for free and expect them to do it. Same thing in academia a lot of times. Like oh hey, you're going to do that research and participate and write papers and you know money is got to come somewhere to help fund this. How does kind of the money fit into this whole discussion of open source?>> So I think that's been one of the big successes of open source and we heard that from Jim as well today. It isn't you know some sort of unattainable in terms of achieving value for society. When you do something of value, money is a reward for that. The only question is how to distribute that award effectively to the community. What I see sometimes in the community is there's this myth of everyone in open source getting involved for just the fun of it and there's a huge amount of that. I have done a bunch of contributions for free on the side, but I've always in the end gotten some sort monetary reward for that down the line. And someone talked today about that makes you more employable, et cetera. That has left me with the time and freedom to continue that development. I think it's a risk that as a young person who is going into debt for college to not realize that that monetary reward will come or have it be so out of sync with their current life situation that they're unable to get the time to develop the skills. So, I don't think that money is a primary motivating factor for most people in the community, but certainly as Linus said today as well. When you don't have to worry about money that's when you do the really cool nitty-gritty things that might be a risk that then grow to be that next big project.>> It's an interesting comment you made about the US how they couldn't do potentially Linux if it wasn't in the US. It opens up your eyes and you say hmm we got to do better.>> Yeah.>> And so that brings up the whole notion of the radical comment of open source has always been kind of radical and then you know when I was growing up it was a tier two alternative to the big guys. Now it's tier one. I think the stakes are higher and the thing I'd like you to get your comment or reaction to is how does the community take it to the next level when it's bigger than the United States. You have China saying no more ICOs, no more virtual currencies. That's a potential issue there's a data point of many other things that can be on the global scale. Security, the Equifax hack, identity theft, truth in communities is now an issue, and there's more projects more than ever. So I made a comment on Twitter. Whose shoulders do we stand on in the expression of standing on the shoulders before you.>> [Christine] Yeah, you're standing on a sea.>> So it's a discovery challenge of what do we do and how do we get to the truth. What's your thoughts on that?>> That is a large question. I don't know if I can answer it in the short amount of time. So to break it down a little bit. One of the issues is that we're in this global society and we have different portions trying to regulate what's next in technology. For example, China with the ICOs, et cetera. One of the phrases I used in my talk was that the math was on the people's side and I think it is the case still with a lot of the technologies that are distributed. It's very hard for one particular government, or nation state, to say hey we're going to put this back in the box. It's Pandora's box. It's out in the open. So that's a challenge as well for China and other people, the US. If you have some harmful scenario, how to actually regulate that. I don't know how that's going to work out moving forward. I think it is the case in our community how to go to the next level, which is another point that you brought up. One thing that Linus also brought up today, is one of the reasons why it's great to collaborate with corporations is that often they put kind of the finishing touches on a product to really make it to the level that people can engage with it easily. That kind of on ramping to new technology is very easy and that's because of corporations is very incentivized monetarily to do that, whereas the open source community isn't necessarily incentivized to do that. Moreover, a lot of that work that final 1% of a project for the polish is so much more difficult. It's not the fun technical element. So a lot of the open source contributors, myself included, aren't necessarily very excited about that. However, what we saw in Signal, which is a product that it is a non-profit it is something that isn't necessarily for corporate gain, but that final polish and making it very usable did mean that a lot more people are using the product. So in terms of we as a community I think we have to figure out how keeping our radical governance structure, how to get more and more projects to have that final polish. And that'll really take the whole community.>> Let them benefit from it in a way that they're comfortable with now it's not a proprietary lock and it's more of only 10% of most of the applications are uniquely differentiated with open source. Question kind of philosophic thought experiment, or just philosophical question, I'll say astronomy and astrophysics is an interesting background. You've got a world of connected devices, the IoT, Internet of Things, includes people. So, you know I'm sitting there looking at the stars, oh that's the Apache Project, lots of stars in that one. You have these constellations of communities, if you will out there to kind of use the metaphor. And then you got astrophysics, the Milky Way, a lot of gravity around me. You almost take a metaphor talks to how communities work. So let's get your thoughts. How does astrophysics and astronomy relate to some of the dynamics in how self-governing things work?>> I'd love to see that visualization by the way, of the Apache Project and the Milky Way,>> [John] Which one's the Big Dipper?>> That sounds gorgeous, you guys should definitely pursue that.>> John you're going to find something at Caltech, you know our next fellowship.>> Argued who always did the Big Dipper or not, but you know.>> I think some of the challenges are similar in the sciences in that people initially get into it because it's something they're curious about. It's something they love and that's an innate human instinct. People have always gazed up at the stars. People have always wondered how things work. How your computer works? You know let me figure that out. That said, ultimately, they need to eat and feed their families and that sort of stuff. And we often see in the astrophysics community incredibly talented people at some stage in their career leaving for some sort of corporate job. And retaining talent is difficult because a lot of people are forced to move around the globe, to different centers in academia, and that lifestyle can be difficult. The pay often isn't as rewarding as it could be. So to make some sort of parallel between that community and the open source community, retaining talent in open source, if you want people to not necessarily work in open source under Microsoft, under a certain corporation only, but to kind of work more generally. That is something that ultimately, we have to distribute the rewards from that to the community.>> It's kind of interesting. The way I always thought the role of the corporation and open source was always trying to change the game. You know, you mentioned gerrymandering. The old model was we got to influence a slow that down so that we can control it.>> So John we've had people around the globe and even that have made it to space on theCUBE before. I don't know that we've ever had anybody that's been to the South Pole before on theCUBE. So Christine, maybe tell us a little about how's technology you know working in the South Pole and what can you tell our audience about it?>> Sure. So I spent 10 and half months at the South Pole. Not just Antarctica, but literally the middle of the continent, the geographic South Pole. There the US has a research base that houses up to about 200 people during the austral summer months when it's warm that is maybe minus 20 degrees or so. During the cold winter months, it gets completely dark and planes have a very difficult time coming in and out so they close off the station to a skeleton crew to keep the science experiments down there running. There are several astrophysical experiments, several telescopes, as well as many research projects, and that skeleton crew was what I was a part of. 46 people and I was tasked with running the telescope down there and looking at some of the echoes of the Big Bang. And I was basically a telescope doctor. So I was on call much like a sys-admin might be. I was responsible for the kind of IT support for the telescope, but also just physical, something physically broke, kind of replacing that. And that meant I could be woken up in the middle of night because of some kind of package update issue or anything like that and I'd have to hike out in minus a 100 degrees to fix this, sometimes. Oftentimes, there was IT support on the station so we did have internet running to the telescope which was about a kilometer away. It took me anywhere from 20 to 30 minutes to walk out there. So if it didn't require on-site support sometimes I could do the work in my pajamas to kind of fix that. So it was a kind of traditional computer support role in a very untraditional environment.>> That's an IoT device isn't it.>> Yeah.>> Stu and I are always interested in the younger generation as we both have kids who are growing up in this new digital culture. What's your feeling in terms of the younger generation that are coming up because people going to school now, digital natives, courseware, online isn't always the answer, people learn differently. Your thoughts on onboarding the younger generation and for the inclusion piece which is super important whether it's women in tech and/or just people just getting more people into computer science. What are some of things that you see happening that excite you and what are some of the things that get you concerned?>> Yeah, so I had the chance I mentioned a little in my talk to teach 12 high school students how to computer program this summer. Some of them have been through computer programming classes at their colleges, or at their high schools, some not. What I saw when I was in high school was a huge variety of competence in the high school teachers that I had. Some were amazing and inspiring. Others because in the US you need a degree in education, but not necessarily a degree in the field that you're teaching. I think that there's a huge lack of people capable of teaching the next generation who are working at the high school level. It's not that there's a huge lack of people who are capable, kind of anyone at this conference could sit down and help a high schooler get motivated and self-study. So I think teacher training is something that I'm concerned about. In terms of things I'm very excited about, we're not quite there yet with the online courses, but the ability to acquire that knowledge online is very, very exciting. In addition, I think we're waking up as a society to the fact that four year college isn't necessarily the best preparation for every single field. For some fields it's very useful. For other fields, particularly engineering, maybe even computer science engineering, apprenticeships or practical experience could be as valuable if not more valuable for less expense. So I'm excited about new initiatives, these coding bootcamps. I think there's a difficulty in regulation in that you don't know for a new coding bootcamp. Is it just trying to get people's money? Is it really going to help their careers? So we're in a very frothy time there, but I think ultimately how it will shake out is it's going to help people enter technology jobs quicker.>> You know there's a percentage of jobs that aren't even invented yet. So there's AI. You see self-driving cars. These things are easy indicators that hey society's changing.>> Yeah. And it's also good to be helpful for a professionals like us, older professionals who want to keep up in this ever growing field and I don't necessarily want to go back for a second Ph.D, but I'll absolutely take an online course in something I didn't see in my undergrad.>> I mean you can get immersed in anything these days online. It's great, there's a lot of community behind it. Christine thanks so much for sharing. Congratulations on a great keynote. Thanks for spending some time with us.>> [Christine] Yeah, thanks for having me.>> It's theCUBE live coverage here in LA for Open Source Summit in North America. I'm John Furrier, Stu Miniman, and we'll be right back with more live coverage after this short break.

Published Date : Sep 11 2017

SUMMARY :

Brought to you by the Linux Foundation, and Red Hat. Source Summit North America here in LA, I'm John Furrier your co-host with Stu Mitiman. Welcome to theCUBE, a mouthful but you're also keynoting, gave one of the talks opening Why did you take that theme? So that we can focus on that as a technology community on what are we going to do with But you had made a comment that you originally wanted to be lawyer, you went to MIT, and Was it you just started coding and said damn I love coding? the feedback loop of you always have a problem you're trying to solve. I think it was very inspirational. I love this notion that code is now at a point where open source is a global phenomenon. You starting to see the more inclusionary roles and the communities are changing. that you as a group, no matter what entity you are, you can't do as much as you can if In that gerrymandering was a word you used. is there and they're like well if you do this you're going to be the same evil person just How does kind of the money fit into this whole discussion of open source? I have done a bunch of contributions for free on the side, but I've always in the end gotten It's an interesting comment you made about the US how they couldn't do potentially Linux I think the stakes are higher and the thing I'd like you to get your comment or reaction So it's a discovery challenge of what do we do and how do we get to the truth. So a lot of the open source contributors, myself included, aren't necessarily very excited lock and it's more of only 10% of most of the applications are uniquely differentiated the globe, to different centers in academia, and that lifestyle can be difficult. You know, you mentioned gerrymandering. So Christine, maybe tell us a little about how's technology you know working in the South So if it didn't require on-site support sometimes I could do the work in my pajamas to kind that get you concerned? Others because in the US you need a degree in education, but not necessarily a degree You know there's a percentage of jobs that aren't even invented yet. And it's also good to be helpful for a professionals like us, older professionals who want to keep I mean you can get immersed in anything these days online. I'm John Furrier, Stu Miniman, and we'll be right back with more live coverage after this

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Brian Behlendorf, Hyperledger | Open Source Summit 2017


 

live from Los Angeles it's the queues covering open-source summit North America 2017 brought to you by the Linux Foundation and redhead he welcome back everyone here live in LA for the open source summit in North America I'm jumper with my co-host Jeff Fritz too many men he'll be back shortly is out scouring the hallways for all the news and analysis getting all the scuttlebutt are here we're here with our next guest brian behlendorf who is the executive director of the hyper ledger project for the Linux Foundation thanks for coming on thank ledger thanks for sharing we just talking before the camera started rolling about blockchain and the coolness around the hype around it but again the hype cycle is usually a pretext to the trend hyper ledger is one of those exciting projects that like AI everyone is jazzed about because it's the future right open source is getting bigger and bigger as Jim zemulon was saying 23 million developers and growing but there's still so much work to be done the global society's relying on open source it's shaping our culture - Ledger's one of those things where it is going to actually disrupt the culture and change it potentially and even this morning Chinese band virtual currencies and icos and all based upon doesn't mean it's time to invest yes and whatever China bands it's always been successful so your thoughts go first boy star let's get into hyper ledger project it's certainly super exciting probably people are talking about it heavily what's going on with the project give a quick update what's the purpose who's involved and when some of the milestones you guys have hyper ledger is less than two years old it was launched officially in December of 2015 I joined in main and it was founded on the principle that hey there's a lot of interesting stuff happening in the cryptocurrency world but there might be some more prosaic some more directly applicable applications of distributed ledger and smart contract technology to rebooting a lot of otherwise very thorny problems for industries in the world the main problem being you've got companies doing business with each other and the recording transactions and you know they'll have to go back and reconcile their systems to get audited bugs right and a lot of the systems out there depend upon processes at a very human processes that are prone to error prone to corruption right so the idea is the more that you can pull together you know information about transactions into a shared system of record which is really with the distributed ledger it's and then the more about of the governance and the and the business processes enclosed that you can automate by smart contract the more effective the more efficient a lot of these markets will be so that's what hyper ledger is about ok so certainly the the keynote was all about open sources being dependent upon and Jim's Emlyn as well as Christine Corbett said you know traditionally control we all know that open source but I love that the deployment changing the face of capitalism because hyper ledger is a term that you can almost apply to the notion of decentralize not just distributed but decentralized business so the notion of supply chain things in finance to moving Goods around the world this is interesting this is how about the impact of how you guys are seeing some of these applications we're now a decentralized architecture combined with distributed creates an opportunity for changing the face of capitalism flowing because the word distributed can be very loaded all right you know and even decentralized right it can be very loaded and what I what I tried to popularize is the idea of minimum viable centralization right you know football games and other sports games have referees right and when we play a game like this well sometimes you know sometimes we don't need a referee it's just us playing pick-up basketball but we want somebody on the periphery we all agree to who helps remind us what the rules are and throws a red flag from time to time all right and so you see in industries ranging from finance where you're building these transaction networks to you know supply chains where you need to track the flow of like food and to know when if food has gotten spoiled possibly where that came from or diamonds that have been involved in conflict time and you know other illegal activities right you want to know where that came for a minute and it involves that industry getting together and saying we all agree we have a big net interest in making our business actually follow certain rules and norms right and using a distributed ledger to to bring that about it's something that can just provide a lot of optimizations so most people think of like Bitcoin and ether a mezda with all this ICO buzz as de as the front end to really the underlying blockchain which you're talking about yeah and that's kind of like I get that fiat currency in this market developed to look crazed bubbles some people call it whatever but you're getting at something unique and this is that there's a real business value of hyper ledger I won't say boring but it's like meat and potatoes stuff it's like really kind of prosaic is the prosaic it's like so but it's disruptive so if you think about like the old days when we were growing up or I was growing up ERP was on mini computers and the prized resource planning relationship management software those were bloated monolithic software packages yeah still out there today and they handle the so called supply chain right so is the hypervisor a disruption to that is it an augmentation of that so some try to put it in context the cost of sending a shipping container from China to the United States right half of that is in paperwork half of that is because that container on average will go through 30 different organizations from the the you know the suppliers that you're assembling the goods into to all the different ports all the different regulatory authorities right out finally to where it's delivered and if you can optimize those business processes if you can make it so that the happen in a space where it's not about paper and facts which a lot of that world is still ruled by today or a bureaucrat sitting there reviewing stuff that's coming in and having to stamp it when really all that could be automated you could cut the cost of that and take the shipping industry from what is right now a money-losing industry to potentially being viable once again so optimization is really critical for them it's optimization but it but there's also some new capabilities here so I spent a year at Department of Health and Human Services trying to help make health care records more portable for patients right and we wrote it and got it I got the industry to write a ton of open source software implemented open standards to make these records shareable the problem was the patient wasn't involved right this was about trying to take two orgs do something that all of their bean counters told them not to do which was share patient records because no that's proprietary value and the HIPAA regulations all that not exactly blackens processes basically with blocking with blocking technology that we can reinvent that as a patient driven process right we could reinvent a lot of the other business processes out there that involve personally identifiable information like the Equifax disaster right we could reinvent how the credit markets assess risk in individuals through blockchain technology in a way that doesn't require us to build these big central anonymous third parties that Coover everybody's data and become these massive privacy titanic's right we can reinvent a lot of this through blockchain tech and that's a lot of what we're working on that Nagaraja because a analytics from that kind of a unique place because you're used to driving these big open-source projects there's a lot of people and they're trying to build the wrapper around the base core of blockchain to come up with their version or their kind of application if you will whether it be Bitcoin or whatever but you guys are in kind of a special place based on your roots we believe that I mean open standards are nice but what really matters is common code right and in a world like we envision where rather than saying you one big Network like Bitcoin or one big Network like aetherium you've got thousands or tens of thousands of these permission networks that cover different industries different geographies different regions what you need is common software so that when a developer goes to work on an application that touches one or multiple of these they've got familiar idioms to work they've got familiar technologies to work with like NGO or Java or JavaScript right but they've got a community of other technologies has been trained up on these technologies that can help them bootstrap and launch their project and maybe even become a contributor to the open source so what we've figured out at the Linux Foundation is how to make that virtuous cycle go right companies you know benefit commercially from it and then feed back into the project and that's what we're mentioning the word you get almost rethink and reimagine some of these things like the Equifax disaster yeah I think it's pretty man no breathing most tech people I really seen as as viable like absolutely it's gonna happen so there's a nice trajectory vision that people are buying into because it's somewhat you can see it hanging together playing out technically what are some of the things going on the project can you share with the folks watching about some things that you're doing to get there faster what's going on with the community with some of the issues with concerns how do people get involved take some time to go tobut deep words of the project so we're not a you know an RD kind of free thinking kind of thing we're about get writing code and shipping and getting into production right so hyper ledger fabric just hit a one dot oh that was a signal from the developers that this code is ready to be run in production systems and for you to track digital assets right doesn't by far does not mean it's the end of the road it's the end of chapter one right but at least it's a place where we you know the kind of the clear intent is let's make this actually usable by enterprises the other projects we've got eight different projects total at hyper ledger some of them even compete with each other right but we're driving all of them to get to a one dot oh and over time all of them talk about how they relate to each other in kind of complimentary ways what's some of the profile developers you're getting because some people always ask I know what should I get involved what can I sink my teeth into what are some of the meaty kind of things that people are doing with it who the persona that that are coming in these enterprise developers they more traditional full-stack developers can you give a range of some of the persona attributes because this is early code still I mean this whole space is still pretty early when it comes to understanding how to use these technologies especially at scale kind of at a DevOps scale a lot of the people first coming into the tech community now are fairly advanced right are kind of the whiz kids right but we're seeing that gradually broad broaden out we now are at a point where we could use developers coming in and writing sample applications right we could use people helping us with documentation we're developing training materials that will be creative commons-licensed so everybody will be able to deliver those and as they find bugs or add features to the training they can do that too we can really use anybody all right so folks watching get involved okay get any white spaces you might want to tease them out with that you see happening obviously mentioned tracking digital assets data is a stress that's cool anything that's going on with data probably is a digital asset but you'd agree what's some of the things that people could get motivated can you share any insight that you might have that would motivate someone to jump in I think any any industry has these challenges of weaving their systems together with other businesses and then trying to do that in a way that holds each other.you account right this is a system for building systems of record between organizations right and you know you running a database to me running a database we don't get there on our own we only get there by working with consortio by working in as a community to actually build these systems and so I'd say every every business has that challenge whether they're engineers have felt free to go in and try to tackle that extranet days when you see people building citizen networks similar concept where blockchain is one big happy family collaborative network all right final question for you kind of shooting for a little bit what do you expect to happen community any thoughts on some of the goals you have is executive director obviously you got some hackathons for good we'll see blockchain being applied to some real things with one dot out what do you see rolling out which some of your goals I massively grow the developer community both the well you know the one end of the spectrum which is the the whiz kids the hardcore developers to you know move forward on a kind of the leading edge of that but really we've got to bring you know hundred thousand developers into this space or the next couple years just to meet the demand that's there in the industry for that town alright so if I'm a now an executive as a hey I saw this great Cuban in friens awesome go get involved what how did someone get involved is just jump standard community model just jump in what advice would you give someone if they want to engage and participate for every one of our projects if you give gave it an hour you'd get to a running you know instance of that software right so fabric or sawtooth within an hour you should ever running for node instance that you can start writing chain code two which is the smart contract language right and and then from there getting involved in the community as a matter of joining mailing list joining our rocket chat channels rocket chats an alternative to slack that we actually prefer and I and I think you'll find a really welcoming community of other devs who want to tell you about what the projects are and want to help you kind of climb that learning curve one of the comments just enough good note here is that Christina gave him the key no she says code can shape culture you've been in the industry a long time you've seen the wave you've been on the shoulders of others and now as the open source goes to the next level how is code gonna shape the culture in your opinion actually people started working together to take that I would say that almost I'm not a moon shot but it's really more of an imperative that culture will be changed inclusion else is huge your thoughts on code shaping culture so we've we've had a decline in trust in institutions in the United States and worldwide not just in the last seven months since November but actually for the last 20 years there's Edelman does this survey every year where they ask you your trust in brands your trust in government your trust in the process the fairness of society and for 20 years that's been on a straight-line decline to the point where we ask ourselves like can you trust any level of government can you trust businesses to look out for your interest the answer almost generically is going to be no this is a technology that can save us from this is a technology that we I believe can help us define the rules of the game help us build society but then actually automate and implement that in a way that doesn't require us to have to bribe an official or curry favor with a school official to get our kid into that school or anything like that this is a way to try I think to make the world more accountable and more fair and open source has that inclusive and staying away from the gerrymander and I love the quote it's so confusing now it's like who do you ask where's the source of truth and it used to be RTFM and check the source code now it's not only there is no manual who is the source fake news all these bots means kind of crazy so this is that a call to arms the open source I think it is I think it really is the trust as a service ok Brian thanks so much for come on if you appreciate it Thank You director for the hyper ledger project super important project really a game changer changing the face of capitalism also continuing the trend accelerate open source I'm Shaun Frechette for more live coverage from the queue after this short break

Published Date : Sep 11 2017

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DeLisa Alexander, Avni Khatri, Jigyasa Grover, Women In Open Source Winners | Red Hat Summit 2017


 

>> Announcer: Live, from Boston, Massachusetts, it's The Cube, covering Red Hat Summit 2017. Brought to you by Red Hat. >> Welcome to more of The Cube's coverage of the Red Head Summit 2017, I'm your host, Rebecca Knight. I'm joined today by DeLisa Alexander, she is the Chief People Officer here at Red Hat and then, joining us also, are the women in Open Source Technology winners. We have Jigyasa Grover and we also have Avni Khatri. So congratulations. >> Thank you. >> Thank you. >> I'm looking forward to hearing more about why you were bestowed with this honor but I want to start with you, DeLisa. >> DeLisa: Thank you. >> Why this award? Why did Red Hat feel that highlighting women and what they're doing in Open Source was worthy and we needed to showcase these women? >> Red Hat believes this is incredibly important. We all know that there are not nearly enough females in the technology industry and as the Open Source leader, we felt like we had a responsibility to begin to make a difference in that way. >> So tell us about the process. How do you find these women? How do you then winnow it down to who deserves it? >> So it's community based. It's a power of participation. >> So it's the Open Source way. >> It is the Open Source way. So the nominees come in from whomever would like to make a nomination. We do have a panel of judges that narrow down the nominations so there's five of each, the academic and the community And then we put it out to the community to vote. And so the community selects our award winners. >> Great, okay. So let's start with you, Anvi. So you, you're based here in Cambridge. >> Anvi: I am. >> And you were talking about how you had a five year goal. >> Yes. So, I was working at Yahoo! at the time and my boss at that time had asked us to make one year, five year, and 10 year goals. And in my five year plan, I had listed I wanted to set up computer labs for underserved populations. I wanted to travel, I wanted to see other cultures and I wanted to bring technology to other cultures. And I went to this awesome conference, the Grace Hopper Conference for Women in Computing. >> The Cube has a great partnership and long-term partnership with Grace Hooper. >> Awesome, it's a great conference. I was there and I met ... I reconnected with some folks and I was so inspired by all the women that were there and I came back and I was looking at my goals and I was like, why do I have to wait five years to do this? And I looked online and I saw that someone I had reconnected with, Stormy Peters at Grace Hopper, was running Kids on Computers and so I emailed her and the rest is really history. I found one of my passions in life is to bring technology to people who don't have access to it and doing it with Open Source so that it's accessible to everyone who needs it. >> So tell me about some of the stories, some of the kids that you're working with, and how it is, in fact, changing their lives. I just got back Monday night from a trip to Oaxaca, Mexico for Kids on Computers. We were there for a whole week. But we were setting up computer labs for these local rural communities. Most of them don't have internet. Some of them are now starting to get internet but what we do is we take donated equipment and grant money and Red Hat has also been ... Has awarded Kids on Computers a grant for contributing to some of the labs we set up last week. But we set up two new labs, we took donated equipment and we purchased equipment in country and we worked in the small towns of Antequera and Constitución. Those are actually the school names. We worked in the city of ... It's a suburb of Oaxaca City, Santa Cruz Xoxocotlán and working with them is really enlightening. So, some of the teachers have never used a computer before. Some of the kids have but most of them have not. So just seeing them trying to use a mouse, learning how to do single-click, double-click and going from the point where they haven't used it to the point where they have and where the understand it and getting to the point where one kid is teaching another kid is just really ... Just seeing that makes you feel, like, wow. I've actually made an impact and then, hopefully, by providing accessed technology and also providing access to educational content. So the offline content pieces for schools that don't have internet, working with a partner of Kids on Computers, Internet in a Box, providing offline Wikipedia, Khan Academy, MEDLINE content, offline books, that we give them a pathway to bettering their own lives and bettering the lives of their communities. >> That's really incredible and it will be this really big leveling of the playing field. >> Yes, I hope so. I really hope so and I am hopeful that will come to fruition 'cause I think education is one of the most sustainable ways to improve communities and I think Open Source is an avenue to get them there. >> Thank you. Jigyasa, so you are the academic winner. You are still a college student and with this wonderful award so congratulations. >> Jigyasa: Thank you so much. >> I want to talk to you. So you went to an all-girls high school in India and then got to university in New Delhi and weren't very happy with what you saw when you got to university. Can you tell us a little bit more. >> So I told you what was at the end. What I see is ... I am doing my undergraduation in Computer Science and Technology. In my batch, 80% of them are boys and the rest, girls, and not much interested in pursuing a career in technology, as such. They're pursuing different stuff like arts, designing, or even going for civil services back home. So when I came, I wanted to actually pursue a career in technology and do something apart from cataclysm. Not just books, but do something so that I can apply the concepts somewhere. We were just studying different mordents of software engineering but I wanted to be a part of a team, which actually implements it. So Open Source was the only way because I had internet, I had a good internet connection, I had a laptop and lots of free time. So one day I came across Pharaoh. The name itself fascinated me because it reminded me of Egyptian mummies and all. So that's how I actually got into Pharaoh. I've been contributing to it since three years now and also been apart of different world wide programs like Google Summer of Code and to give back to the community which has helped me so much, starting right from scratch. I tried to meet 13 rich developers and budding programmers through programs, like one of them is Learn IT Girl. So it pairs females, both mentors and mentees, worldwide. So not only do you get to know about technology but you can also know about their culture by being a team and knowing about how it works, how are their working styles and temperaments. Also, I wanted to be a part of something local so that I could interact with them physically so I'm the Director for Delhi Network of Women who Code which has more than 400 plus members back in New Delhi and I organize code labs, teach them, or randomly give pep talks sot that they do not feel bogged down and have enough to look forward to. It's been a pretty exciting journey, as I say. >> It's just beginning. >> And this is the thing is that we are bombarded with headlines about how difficult it is for women in the technology industry because it is such a male-dominated industry. There's a lot of sexism, there's a lot of discrimination, a lot of biases where people just don't put women and technology together. You think of a technologist, you think of an engineer, you think of a guy. So how do you think that these awards, DeLisa, are changing things? What are your hopes and dreams for women in this sector? >> Well, we've come so far in terms of the way we think about supporting women just in our conference alone. And so, I think that when we're really, really successful we won't need this award anymore. But we have a long way to go between now and then. Women like these women are just so inspiring and by sharing their stories and showing what women can do future generations of girls, hopefully, will be inspired to join. Men will understand the contributions that women are making today and it will help really generate the next leaders in Open Source that are women. >> Anvi, five years from now, what do you hope? How many labs do you hope to have opened? What's your grand plan? >> So we have 22 labs right now, which is so exciting, in five countries. >> In how long? >> So, we're eight years old. We were a 501(c)(3) in 2009, so super exciting. So my hope is that ... We are currently focusing in Oaxaca and we just formed a partnership with a local university down there to provide support because, as we know, technology is just one piece of the puzzle. We need the community, we need the support, we need the education pieces along with the technology to really fulfill the project. So my hope is that ... At this point, we've kind of figured out how to deploy one lab at a time and my hope is that now we can do this at scale. That we can work with local universities, governments, and actually get .... Reach out to kids who need it because I think Oaxaca has one of the lowest literacy rates in all of Mexico. This is definitely communities where most of the kids do not go on to high school and definitely most do not go on to college. So if we can make an impact, show the measure, like be able to measure the impact that we're making, longitudinally, I think that then we can grow and we can scale. So, very hopeful. But this is my passion, right. So it's going back to as a woman, how do you find your passion. I think, find what you're passion is and go for it and that makes things so much easier. And I think there's a lot of opportunities for growth and look for people that will support efforts that you're doing, like DeLisa. And Jigyasa, she's mentoring girls already. >> And I think that that's also a great point too. This is the Open Source way because it is about community building and it's about collaboration and that is also, you're doing these things ... The software is a metaphor for what you're doing in life. >> [Jigyasa and Anvi] Yes. >> Jigyasa, what's next for you? So first, graduate from college, that would be >> Yes. (laughing) >> A big priority. But then where do you hope to work? >> Actually, I want to learn lots and travel the world, know more about everything. That's what Jigyasa means. So Jigyasa means curiousity in Hindi and Sanskrit so I hope I live up to my name and the next few years, I just want to keep the learning mode switched on, be curious, and if I want to do something, at least I'll give it a try so that I do not regret that I never gave a try. So always be curious, interact, and give a try. >> Do you want to continue working in technology or do you want to come to the States? Where do you see your career path? My career path, it's like I'm trying to balance everything. I want to learn more theoretically about computer science and technology. Maybe do a Master's degree further and then move on to industry. Also, I am pretty excited about the research work. I've done a couple of them in Europe, Asbarez, and Canada so I want to do something which is a mix of everything so that it keeps me going. >> Do you see ... These are really social initiatives that you're both working on. Do you see that as sort of a real future for Open Source innovation and technology? We know that Open Source is helping companies grow, get more customers, make more money, improve their bottom lines, but we also see it having this big impact on global and social progress. I mean, how untapped is this, where are we in this? Open Source is a way, it's not a technology, it's a way. It's a way of doing things and thinking about the world. Transparency, using the best ideas, innovating rapidly. We have a lot of complex problems to solve, now and in the future. Using the Open Source way, we will solve those problems more rapidly. Whether it's a technology issue or something entirely outside of technology. >> I agree with that completely. Open Source is a mechanism by which we can accomplsih not just technical innovations, but also social innovations. We have to look at it wholistically. We have to look at the ecosystem wholistically. It's not just technology, it's also society, it's also community, education and how do all the puzzle pieces fit together. JeLisa, we talked a little bit about the challenges of recruiting and retaining women in this industry. What is Red Hat doing to get the best and the brightest and the most talented women engineers? Well, we've come a long way. We have a long way to go. The first thing we wanted to do is to create an ecosystem within Red Hat that was very welcoming and inclusive because if you are recruiting people and they come in and they have an experience that isn't positive, they're going to go right out the door. So the most important thing was shoring up our community and creating an environment. So we focused on that, really, in the beginning. Then we started thinking about outreach. Now, the problem is so complex to solve, right. So we started realizing there's not enough people to outreach to. So now our next step has been to start to go deeper into the school systems and start partnering, We have a partnership with BU and also the city of Boston where we supported girls coming from middle school into a lab environment and doing some fun stuff, they get introduced to technology and we're going to keep our eyes on them and we'd like to recreate this type of experience in multiple places so really go deeper in to help create an interest at the middle school age with girls. Because that's what we understand that's when we need to get them interested. >> And that's when research shows confidence falls off and women, young girls, start raising their hands less in class. >> And all that stuff. Yeah, it's such a difficult issue but we hope that we will make a difference by reaching into the pipeline and then certainly retaining. We develop our women, we really focus on that. We want to support them as leaders and so it's the whole pathway. >> And Jigyasa, are you finding that your mentorship is making a difference for the young women you're working with? Young girls? >> It certainly is because even after the program ends I receive messages and emails from girls and boys alike about the program or how they want to build their own product. So, I remember one of the girls from Romania. I mentored her during a program sponsored by Google and all she wanted to build was a website for herself and she's very young. So she used to text me about what technologies she should use and how is it shaping up. Can I test it for her? So I really liked that even after the program ended, she kept up her spirit and is still continuing with it. >> And as DeLisa says, now you got to keep an eye on her and make sure she stays with it and everything. Well, DeLisa, Anvi, Jigyasa, thank you so much for joining us. Congratulations. >> Thank you so much. >> Well-deserved. >> Thank you. >> Thank you. >> This has been Rebecca Knight at the Red Hat Summit in Boston, Massachusetts. We''ll be back with more after this. (electronic beat)

Published Date : May 4 2017

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Brought to you by Red Hat. of the Red Head Summit 2017, I'm your host, Rebecca Knight. I'm looking forward to hearing more in the technology industry and as the Open Source leader, How do you find these women? So it's community based. So the nominees come in from whomever So let's start with you, Anvi. at the time and my boss with Grace Hooper. and the rest is really history. and getting to the point where one kid That's really incredible and it will be I really hope so and I am hopeful that will come to fruition and with this wonderful award so congratulations. and weren't very happy with what you saw So not only do you get to know about technology So how do you think that these awards, and by sharing their stories and showing what women can do So we have 22 labs right now, which is so exciting, We need the community, we need the support, and that is also, you're doing these things ... Yes. But then where do you hope to work? I just want to keep the learning mode switched on, and then move on to industry. Using the Open Source way, we will and the most talented women engineers? And that's when research shows confidence and so it's the whole pathway. So I really liked that even after the program ended, and make sure she stays with it and everything. at the Red Hat Summit in Boston, Massachusetts.

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Arpit Joshipura, Linux Foundation | CUBEConversation, May 2019


 

>> From our studios, in the heart of Silicon Valley, Palo Alto, California, this is a CUBE Conversation. >> Welcome to this CUBE Conversation here in Palo Alto, California. I'm John Furrier, host of theCUBE. We are here with Arpit Joshipura, GM of Networking, Edge, IoT for the Linux Foundation. Arpit, great to see you again, welcome back to theCUBE, thanks for joining us. >> Thank you, thank you. Happy to be here. >> So obviously, we love the Linux Foundation. We've been following all the events; we've chatted in the past about networking. Computer storage and networking just doesn't seem to go away with cloud and on-premise hybrid cloud, multicloud, but open-source software continues to surpass expectations, growth, geographies outside the United States and North America, just overall, just greatness in software. Everything's an abstraction layer now; you've got Kubernetes, Cloud Native- so many good things going on with software, so congratulations. >> Well thank you. No, I think we're excited too. >> So you guys got a big event coming up in China: OSS, Open Source Summit, plus KubeCon. >> Yep. >> A lot of exciting things, I want to talk about that in a second. But I want to get your take on a couple key things. Edge and IoT, deep learning and AI, and networking. I want to kind of drill down with you. Tell us what's the updates on the projects around Linux Foundation. >> Okay. >> The exciting ones. I mean, we know Cloud Native CNCF is going to take up more logos, more members, keeps growing. >> Yep. >> Cloud Native clearly has a lot of opportunity. But the classic in the set, certainly, networking and computer storage is still kicking butt. >> Yeah. So, let me start off by Edge. And the fundamental assumption here is that what happened in the cloud and core is going to move to the Edge. And it's going to be 50, 100, 200 times larger in terms of opportunity, applications, spending, et cetera. And so what LF did was we announced a very exciting project called Linux Foundation Edge, as an umbrella, earlier in January. And it was announced with over 60 founding members, right. It's the largest founding member announcement we've had in quite some time. And the reason for that is very simple- the project aims at unifying the fragmented edge in IoT markets. So today, edge is completely fragmented. If you talk to clouds, they have a view of edge. Azure, Amazon, Baidu, Tencent, you name it. If you talk to the enterprise, they have a view of what edge needs to be. If you talk to the telcos, they are bringing the telecom stack close to the edge. And then if you talk to the IoT vendors, they have a perception of edge. So each of them are solving the edge problems differently. What LF Edge is doing, is it is unifying a framework and set of frameworks, that allow you to create a common life cycle management framework for edge computing. >> Yeah. >> Now the best part of it is, it's built on five exciting technologies. So people ask, "You know, why now?" So, there are five technologies that are converging at the same time. 5G, low latency. NFV, network function virtualization, so on demand. AI, so predictive analytics for machine learning. Container and microservices app development, so you can really write apps really fast. And then, hardware development: TPU, GPU, NPU. Lots of exciting different size and shapes. All five converging; put it close to the apps, and you have a whole new market. >> This is, first of all, complicated in the sense of... cluttered, fragmented, shifting grounds, so it's an opportunity. >> It's an opportunity. >> So, I get that- fragmented, you've got the clouds, you've got the enterprises, and you've got the telcos all doing their own thing. >> Yep. >> So, multiple technologies exploding. 5G, Wi-Fi 6, a bunch of other things you laid out, >> Mhmm. >> all happening. But also, you have all those suppliers, right? >> Yes. >> And, so you have different manufacturers-- >> And different layers. >> So it's multiple dimensions to the complexity. >> Correct, correct. >> What are you guys seeing, in terms of, as a solution, what's motivating the founding members; when you say unifying, what specifically does that mean? >> What that means is, the entire ecosystem from those markets are coming together to solve common problems. And I always sort of joke around, but it's true- the common problems are really the plumbing, right? It's the common life cycle management, how do you start, stop, boot, load, log, you know, things like that. How do you abstract? Now in the Edge, you've 400, 500 interfaces that comes into an IoT or an edge device. You know, Zigbee, Bluetooth, you've got protocols like M2T; things that are legacy and new. Then you have connectivity to the clouds. Devices of various forms and shapes. So there's a lot of end by end problems, as we call it. So, the cloud players. So for LF Edge for example, Tencent and Baidu and the cloud leaders are coming together and saying, "Let's solve it once." The industrial IoT player, like Dynamic, OSIsoft, they're coming in saying, "Let's solve it once." The telcos- AT&T, NTT, they're saying "Let's solve it once. And let's solve this problem in open-source. Because we all don't need to do it, and we'll differentiate on top." And then of course, the classic system vendors that support these markets are all joining hands. >> Talk about the business pressure real quick. I know, you look at, say, Alibaba for instance, and the folks you mentioned, Tencent, in China. They're perfecting the edge. You've got videos at the edge; all kinds of edge devices; people. >> Correct. >> So there's business pressures, as well. >> The business pressure is very simple. The innovation has to speed up. The cost has to go down. And new apps are coming up, so extra revenue, right? So because of these five technologies I mentioned, you've got the top killer apps in edge are anything that is, kind of, video but not YouTube. So, anything that the video comes from 360 venues, or drones, things like that. Plus, anything that moves, but that's not a phone. So things like connected cars, vehicles. All of those are edge applications. So in LF Edge, we are defining edge as an application that requires 20 milliseconds or less latency. >> I can't wait for someone to define- software define- "edge". Or, it probably is defined. A great example- I interviewed an R&D engineer at VMware yesterday in San Francisco, it was at the RADIO event- and we were just riffing on 5G, and talking about software at the edge. And one of the advances >> Yes. >> that's coming is splicing the frequency so that you can put software in the radios at the antennas, >> Correct. Yeah. >> so you can essentially provision, in real time. >> Correct, and that's a telco use case, >> Yeah. >> so our projects at the LF Edge are EdgeX Foundry, Akraino, Edge Virtualization Engine, Open Glossary, Home Edge. There's five and growing. And all of these software projects can allow you to put edge blueprints. And blueprints are really reference solutions for smart cities, manufacturing, telcos, industrial gateways, et cetera et cetera. So, lots of-- >> It's kind of your fertile ground for entrepreneurship, too, if you think about it, >> Correct; startups are huge. >> because, just the radio software that splices the radio spectrum is going to potentially maybe enable a service provider market, and towers, right? >> Correct, correct. >> Own my own land, I can own the tower and rent it out, one radio. >> Yep. >> So, business model innovations also an opportunity, >> It's a huge-- >> not just the business pressure to have an edge, but-- >> Correct. So technology, business, and market pressures. All three are colliding. >> Yeah, perfect storm. >> So edge is very exciting for us, and we had some new announcements come out in May, and more exciting news to come out in June, as well. >> And so, going back to Linux Foundation. If I want to learn more. >> LFEdge.org. >> That's kind of the CNCF of edge, if you will, right? Kind of thing. >> Yeah. It's an umbrella with all the projects, and that's equivalent to the CNCF, right. >> Yeah. >> And of course it's a huge group. >> So it's kind of momentum. 64 founding members-- >> Huge momentum. Yeah, now we are at 70 founding members, and growing. >> And how long has it been around? >> The umbrella has been around for about five months; some of the projects have been around for a couple of years, as they incubate. >> Well let us know when the events start kicking in. We'll get theCUBE down there to cover it. >> Absolutely. >> Super exciting. Again, multiple dimensions of innovation. Alright, next topic, one of my favorites, is AI and deep learning. AI's great. If you don't have data you can't really make AI work; deep learning requires data. So this is a data conversation. What's going on in the Linux Foundation around AI and deep learning? >> Yeah. So we have a foundation called LF Deep Learning, as you know. It was launched last year, and since then we have significantly moved it forward by adding more members, and obviously the key here is adding more projects, right. So our goal in the LF Deep Learning Foundation is to bring the community of data scientists, researchers, entrepreneurs, academia, and users to collaborate. And create frameworks and platforms that don't require a PhD to use. >> So a lot of data ingestion, managing data, so not a lot of coding, >> Platforms. >> more data analyst, and/or applications? >> It's more, I would say, platforms for use, right? >> Yeah. >> So frameworks that you can actually use to get business outcomes. So projects include Acumos, which is a machine learning framework and a marketplace which allows you to, sort of, use a lot of use cases that can be commonly put. And this is across all verticals. But I'll give you a telecom example. For example, there is a use case, which is drones inspecting base stations-- >> Yeah. >> And doing analytics for maintenance. That can be fed into a marketplace, used by other operators worldwide. You don't have to repeat that. And you don't need to understand the details of machine learning algorithms. >> Yeah. >> So we are trying to do that. There are projects that have been contributed from Tencent, Baidu, Uber, et cetera. Angel, Elastic Deep Learning, Pyro. >> Yeah. >> It's a huge investment for us. >> And everybody wins when there's contribution, because data's one of those things where if there's available, it just gets smarter. >> Correct. And if you look at deep learning, and machine learning, right. I mean obviously there's the classic definition; I won't go into that. But from our perspective, we look at data and how you can share the data, and so from an LF perspective, we have something called a CDLA license. So, think of an Apache for data. How do you share data? Because it's a big issue. >> Big deal. >> And we have solved that problem. Then you can say, "Hey, there's all these machine learning algorithms," you know, TensorFlow, and others, right. How can you use it? And have plugins to this framework? Then there's the infrastructure. Where do you run these machine learning? Like if you run it on edge, you can run predictive maintenance before a machine breaks down. If you run it in the core, you can do a lot more, right? So we've done that level of integration. >> So you're treating data like code. You can bring data to the table-- >> And then-- >> Apply some licensing best practices like Apache. >> Yes, and then integrate it with the machine learning, deep learning models, and create platforms and frameworks. Whether it's for cloud services, for sharing across clouds, elastic searching-- >> And Amazon does that in terms of they vertically integrate SageMaker, for instance. >> That's exactly right. >> So it's a similar-- >> And this is the open-source version of it. >> Got it- oh, that's awesome. So, how does someone get involved here, obviously developers are going to love this, but-- >> LF Deep Learning is the place to go, under Linux Foundation, similar to LF Edge, and CNCF. >> So it's not just developers. It's also people who have data, who might want to expose it in. >> Data scientists, databases, algorithmists, machine learning, and obviously, a whole bunch of startups. >> A new kind of developer, data developer. >> Right. Exactly. And a lot of verticals, like the security vertical, telecom vertical, enterprise verticals, finance, et cetera. >> You know, I've always said- you and I talked about this before, and I always rant on theCUBE about this- I believe that there's going to be a data development environment where data is code, kind of like what DevOps did with-- >> It's the new currency, yeah. >> It's the new currency. >> Yeah. Alright, so final area I want to chat with you before we get into the OSS China thing: networking. >> Yeah. >> Near and dear to your heart. >> Near and dear to my-- >> Networking's hot now, because if you bring IoT, edge, AI, networking, you've got to move things around-- >> Move things around, (laughs) right, so-- >> And you still need networking. >> So we're in the second year of the LF Networking journey, and we are really excited at the progress that has happened. So, projects like ONAP, OpenDaylight, Tungsten Fabric, OPNFV, FDio, I mean these are now, I wouldn't say household names, but business enterprise names. And if you've seen, pretty much all the telecom providers- almost 70% of the subscribers covered, enabled by the service providers, are now participating. Vendors are completely behind it. So we are moving into a phase which is really the deployment phase. And we are starting to see, not just PoCs [Proofs of Concept], but real deployments happening, some of the major carriers now. Very excited, you know, Dublin, ONAP's Dublin release is coming up, OPNFV just released the Hunter release. Lots of exciting work in Fido, to sort of connect-- >> Yeah. >> multiple projects together. So, we're looking at it, the big news there is the launch of what's called OVP. It's a compliance and verification program that cuts down the deployment time of a VNF by half. >> You know, it's interesting, Stu and I always talk about this- Stu Miniman, CUBE cohost with me- about networking, you know, virtualization came out and it was like, "Oh networking is going to change." It's actually helped networking. >> It helped networking. >> Now you're seeing programmable networks come out, you see Cisco >> And it's helped. >> doing a lot of things, Juniper as well, and you've got containers in Kubernetes right around the corner, so again, this is not going to change the need, it's going to- It's not going to change >> It's just a-- >> the desire and need of networking, it's going to change what networking is. How do you describe that to people? Someone saying, "Yeah, but tell me what's going on in networking? Virtualization, we got through that wave, now I've got the container, Kubernetes, service mesh wave, how does networking change? >> Yeah, so it's a four step process, right? The first step, as you rightly said, virtualization, moved into VMs. Then came disaggregation, which was enabled by the technology SDN, as we all know. Then came orchestration, which was last year. And that was enabled by projects like ONAP and automation. So now, all of the networks are automated, fully running, self healing, feedback closed control, all that stuff. And networks have to be automated before 5G and IoT and all of these things hit, because you're no longer talking about phones. You're talking about things that get connected, right. So that's where we are today. And that journey continues for another two years, and beyond. But very heavy focused on deployment. And while that's happening, we're looking at the hybrid version of VMs and containers running in the network. How do you make that happen? How do you translate one from the other? So, you know, VNFs, CNFs, everything going at the same time in your network. >> You know what's exciting is with the software abstractions emerging, the hard problems are starting to emerge because as it gets more complicated, end by end problems, as you said, there's a lot of new costs and complexities, for instance, the big conversation at the Edge is, you don't want to move data around. >> No, no. >> So you want to move compute to the edge, >> You can, yeah-- >> But it's still a networking problem, you've still got edge, so edge, AI, deep learning, networking all tied together-- >> They're all tied together, right, and this is where Linux Foundation, by developing these projects, in umbrellas, but then allowing working groups to collaborate between these projects, is a very simple governance mechanism we use. So for example, we have edge working groups in Kubernetes that work with LF Edge. We have Hyperledger syncs that work for telecoms. So LFN and Hyperledger, right? Then we have automotive-grade Linux, that have connected cars working on the edge. Massive collaboration. But, that's how it is. >> Yeah, you connect the dots but you don't, kind of, force any kind of semantic, or syntax >> No. >> into what people can build. >> Each project is autonomous, >> Yeah. >> and independent, but related. >> Yeah, it's smart. You guys have a good view, I'm a big fan of what you guys are doing. Okay, let's talk about the Open Source Summit and KubeCon, happening in China, the week of the 24th of June. >> Correct. >> What's going on, there's a lot of stuff going on beyond Cloud Native and Linux, what are some of the hot areas in China that you guys are going to be talking about? I know you're going over. >> Yeah, so, we're really excited to be there, and this is, again, life beyond Linux and Cloud Native; there's a whole dimension of projects there. Everything from the edge, and the excitement of Iot, cloud edge. We have keynotes from Tencent, and VMware, and all the Chinese- China Mobile and others, that are all focusing on the explosive growth of open-source in China, right. >> Yeah, and they have a lot of use cases; they've been very aggressive on mobility, Netdata, >> Very aggressive on mobility, data, right, and they have been a big contributor to open-source. >> Yeah. >> So all of that is going to happen there. A lot of tracks on AI and deep learning, as a lot more algorithms come out of the Tencents and the Baidus and the Alibabas of the world. So we have tracks there. We have huge tracks on networking, because 5G and implementation of ONAP and network automation is all part of the umbrella. So we're looking at a cross-section of projects in Open Source Summit and KubeCon, all integrated in Shanghai. >> And a lot of use cases are developing, certainly on the edge, in China. >> Correct. >> A lot of cross pollination-- >> Cross pollination. >> A lot of fragmentation has been addressed in China, so they've kind of solved some of those problems. >> Yeah, and I think the good news is, as a global community, which is open-source, whether it's Europe, Asia, China, India, Japan, the developers are coming together very nicely, through a common governance which crosses boundaries. >> Yeah. >> And building on use cases that are relevant to their community. >> And what's great about what you guys have done with Linux Foundation is that you're not taking positions on geographies, because let the clouds do that, because clouds have-- >> Clouds have geographies, >> Clouds, yeah they have agents-- >> Edge may have geography, they have regions. >> But software's software. (laughs) >> Software's software, yeah. (laughs) >> Arpit, thanks for coming in. Great insight, loved talking about networking, the deep learning- congratulations- and obviously the IoT Edge is hot, and-- >> Thank you very much, excited to be here. >> Have a good trip to China. Thanks for coming in. >> Thank you, thank you. >> I'm John Furrier here for CUBE Conversation with the Linux Foundation; big event in China, Open Source Summit, and KubeCon in Shanghai, week of June 24th. It's a CUBE Conversation, thanks for watching.

Published Date : May 17 2019

SUMMARY :

in the heart of Silicon Valley, GM of Networking, Edge, IoT for the Linux Foundation. Happy to be here. We've been following all the events; No, I think we're excited too. So you guys got a big event coming up in China: A lot of exciting things, I mean, we know Cloud Native CNCF is going to take up But the classic in the set, and set of frameworks, that allow you to and you have a whole new market. This is, first of all, complicated in the sense of... and you've got the telcos all doing their own thing. you laid out, But also, you have all those suppliers, Tencent and Baidu and the cloud leaders and the folks you mentioned, Tencent, in China. So, anything that the video comes from 360 venues, and talking about software at the edge. Yeah. so you can essentially And all of these software projects can allow you Own my own land, I can own the tower So technology, business, and market pressures. and more exciting news to come out in June, And so, That's kind of the CNCF of edge, if you will, right? and that's equivalent And of course So it's kind of momentum. Yeah, now we are at 70 founding members, and growing. some of the projects have been around We'll get theCUBE down there to cover it. If you don't have data you can't really and obviously the key here is adding more projects, right. So frameworks that you can actually use And you don't need to understand So we are trying to do that. And everybody wins when there's contribution, And if you look at deep learning, And have plugins to this framework? You can bring data to the table-- Yes, and then integrate it with the machine learning, And Amazon does that in terms of they obviously developers are going to love this, but-- LF Deep Learning is the place to go, So it's not just developers. and obviously, a whole bunch of startups. And a lot of verticals, like the security vertical, Alright, so final area I want to chat with you almost 70% of the subscribers covered, that cuts down the deployment time of a VNF by half. about networking, you know, virtualization came out How do you describe that to people? So now, all of the networks are automated, the hard problems are starting to emerge So LFN and Hyperledger, right? of what you guys are doing. that you guys are going to be talking about? and the excitement of Iot, cloud edge. and they have been a big contributor to open-source. So all of that is going to happen there. And a lot of use cases are developing, A lot of fragmentation has been addressed in China, the developers are coming together very nicely, that are relevant to their community. they have regions. But software's software. Software's software, yeah. and obviously the IoT Edge is hot, and-- Thank you very much, Have a good trip to China. and KubeCon in Shanghai,

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Sylvain Kalache, Holberton School | DevNet Create 2018


 

(upbeat music) >> Announcer: Live from the Computer History Museum in Mountain View, California. It's theCube covering DevNet Create 2018, brought to you by Cisco. >> Okay, welcome back everyone. Live here in Silicon Valley at the Computer History Museum in Mountain View, California. We're here for Cisco's DevNet Create. I'm John Furrier with my cohost Lauren Cooney. Our next guest is Sylvain Kalache, who's the co-founder of Holberton School. In the news today for big venture funding. Eight and a half million dollars, congratulations. >> Thank you. >> Welcome to theCUBE. >> Thank you. >> Thanks for coming on, we've had many conversations with some of the folks you work with at your place there. Really great mission, CloudNow Awards have been on Open Source Summit. You guys have a very special mission, certainly recognized with some good funding, congratulations, but take a minute to explain the mission of your school. >> Yes, so the mission of the school is to provide high quality education to the most. I think that's something that is very tough in the US for American people is that there is high quality education and you know, like Ivy League are, like, obviously doing a great job, but the issue with that is that it's, like, limited to an elite. But a fraction of American people can access high quality education, and so when you look at the student debt, you know, 1.4 trillion dollar, like, something is wrong with that, right? >> John: Yeah. >> And so we want to be a part of the solution and that's why we created Holberton School. >> And the interesting thing, too, about it is that what I liked about your mission, too, is that you're very transparent about what you do and... But a lot of the jobs are skills that not a lot of people have, so it's a first time skill. So, you know, as people look to hire, say, a data scientist or someone in AI or someone in machine learning or anything in tech, for instance, no one really has that many years of experience, so there's an opportunity to level up for someone who might not have gone to a fancy school. >> Exactly, so today there is more than half a million unfilled jobs that require tech skills in the US, right. And according to the previous white house CTO, it's going to grow to 1.4 million in the next decade, right. And universities are only going to train 400,000. So, there is a gap of a million skilled people within the next 10 years for software engineering type of job, right. So, my co-founder, with Julie and Bobby, we used to be head of marketing and community and I used to work for LinkedIn, would, you know, interview a lot of people who wanted to, you know, work for Docker and LinkedIn and one of the issue we saw is that a lot of out of colleges candidates will not be ready to take on a job. They were not ready. You could see they were smarter than you think but you would need to train them for six months or a year to get them ready to take on a job. >> What makes you different, what are you guys doing that's working? Can you explain the model? >> Yeah so in regular education, we bring you the knowledge right, through a lecture to share, we lecture you right. And two weeks down the road, we give you the exam to see if you memorized, you know, like the solution kind of, right? At Holberton, we've flipped the education. We give students the exam through a project, and they have to go, acquire the knowledge, learn the tool that they need to solve the thing, right. Which is very much what we do in the workplace, right. My manager at LinkedIn would coach me and say hey Sylvain you need to build this, you need to fix that, right. And then I'm paid to like find the best solution, right. So we train our students the same way. And our students come from all walks of life. Right out of high school, some started college didn't finish, some used to be barista, poker player, guitar player, artist, teacher, and some other place, right. They come with no software engineering knowledge, and we train them from zero. For two things, first one to learn a craft that's in demand in today's software engineering. So that they can find a job you know after graduation. And second to earn or to learn, to develop problem solving skills, critical thinking. So that they can continue to grow even after graduation and continue to learn after that, right. >> Is there a requirement? >> The requirement is that you have to be over 18 years old. That's it. >> John: That's it. >> That's it. >> And what does it cost? >> So the cost is none, until you find a job, right. >> Lauren: Until you find a job. And then what happens? >> So what happens, if you find a job that is over 40,000 dollar per year, then you contribute back to the school with a percentage of your salary. So we align the school success with student success. And the final contribution that students make to the school is used to finance the next generation of students. >> Lauren: Great. >> So that, you know, an organic circle where, the more students are successful through them, the more we can train other students. >> And you're investing in the outcome of the students. >> Exactly. We are investing in our students worthy of this school. But obviously we're are like investing in their success. >> Lauren: That's great >> That's the only way for us to succeed. >> Well you're certainly optimized for success. Because you're motivated to do it right. Right, so. This is interesting. >> We are, and when we say we, it's like the Holberton staff, but also the Holberton community. Which is composed of more than 150 mentors. Who are professionals in the tech industry. And they are here for two things. To guide students to enter the tech industry. They come to the school, share their experiences. What it's like to work for a startup. What it's like to work for a big company. What it's like to be a woman in tech, right. And also, they guide us on the curriculum, right. To make sure that what is being taught, like is always relevant. And that's where students find jobs in several companies including Tesla, Apple, NASA, LinkedIn, you name it. So they're competing with Ivy League type of talent. >> John: Yeah, yeah. >> But they are definitely in the type of demographic that you really want... >> And they actually might win too, because they have the street smarts. And they get the hands on skills. Okay, so quick question, so. Is it the for-profit? Or non-profit? >> Sylvain: It's for-profit. >> Okay, so it's for-profit. But it's got a mission driven initiative. >> Sylvain: Yes. >> Tied to a profit objective. So you just raise some funding. How did that go? Is that use of funds to expand the scope? Or student body? I'm sure there's some constraints, in terms of, how much you can handle in terms of student body. Locations around the world. What is there an expansion strategy? Obviously you got some funding. >> Sylvain: Yes. >> What are you going to do with it? >> Yeah, so, we are a San Francisco based crew. We started three years ago with our first cohort of solid students. And with the location we had, we could train 100 students a year. Right. That's good but, in the grand scheme of things, it's not a lot. >> John: It's a prototype. >> It's a prototype. Exactly. So now that we have the students working for EnVideo, Dropbox, Apple, and like you know, the Google of the world. Alright, okay. Now we need to scale up and we move to a new location, that's seven times bigger. Where we'll be able to train 500 students per year, which... Because it's a two year program, we'd be a campus of 1000 students. Right. And to give you an idea of the scale, the largest University for software students, in the US is training 700 students a year. So we are like quickly coming up, as one of the largest trainer of 20,000 students. >> That's phenomenal. What's the curriculum? Is it mostly computer science? Is it mostly tech? I mean obviously you have the... I see any of you come in. But you do have women in tech. And you have a under represented minority kind of component, which is great. But it's open to anyone. >> It's open to anyone over 18. The application process is blind and fully automated. So there is no, human selection. >> John: No discrimination of any kind. >> No discrimination, and... >> How do you cut people off? Is it random? >> It's not random. >> And not random. I mean like, if you have like 500 spots. >> Yah. >> And you have 1000 applicants. >> Yah. >> So do you sort it? Is it like... >> Right. >> You get the lottery? I mean, is it... >> No, so there is only three percent of student who start the application process who make it. >> Okay, got it. >> And... >> So there's a selection criteria. >> There is a selection criteria. It's hard to get in. It's mostly based on motivation and talent. And by talent we mean, this ability to strive in this type of environment. Where you learn by doing and you learn by collaborating with your peers. Which is something that not everybody, you know, can do. >> So you identify success criteria, with what you think might be aligned with the culture of the curriculum. >> Yah, we believe that grit, is you know, a big element in people's success. And I think there is a lot of American people with grit. But they're born in the wrong zip code. They didn't have the right family, you know, who could support them. And to us, we don't want to select people because of their past. We want to select people because of who they are. Ultimately the application process is doing this for us. In terms of numbers, so far it's brought 35 percent woman. 50 percent of our students aren't white. And the age goes from anywhere from 17 to 56. So it's like very diverse crowd of students. That makes this community really amazing. >> Lauren: Yah. Coming from someone who paid for their own college, and then had to pay it all back... (laughing) I would have loved to have this around when I was going to school.6 >> John: And you still pay the pack. It's like you wanted it upfront for free. So what percentage of the salary is it? I mean, can you talk about numbers or... >> Yah. >> Cause I mean, cause that's always some people want to know the math in advance. >> Absolutely, absolutely. So it's a 17 percent of your income, for the first three years of employment, if you find a job that's over 40,000. So if you don't find a job then, you don't pay anything. >> John: And direct deposit probably, mostly. Do they have to be obligated to pay you? Do they usually do... direct deposit? >> Sylvain: Yah. We partner with third parties that's taking care of this. And it's basically like a monthly, you know, deposit. >> So it's automated for this candidates, for the students. >> Sylvain: It's automated, yah. >> Lauren: And do you do partnerships in any way? So like, you know, woman that are re-entering the work force. Or, you know... things along those lines. There's a lot of different programs out there that support. You know... >> Sylvain: Absolutely. So we are partnering with a lot of organizations. >> Lauren: Okay. >> We want to inspire... And the represented, you know like, demographic to, believe that they can become software engineer. They can be part of that, right. And so we partner... One of them is a clan now, with Justine Mitchell. >> Lauren: I won an award, yah. (Lauren laughing) >> And she was on theCube... >> Lauren: Yah. She's great. >> John: We cover their events. >> So with Justine we worked on fundraising, for women, for living state. And from Google extension... And Schelling, and yeah, we are going to help more students to get in the program. And also, one thing that we are doing is that we have a wall of trustees, where actually, Justine is sitting. We also have the singer, grammy award winner, Neyo. Who help's us to make sure we are doing everything we can, to communicate to this minority, right. And as you say, like the kid in the hood will come up with a different set of problems, and different set of ideas on how to build product and solve issues. And not only having a diverse work force is socially good. But it also makes sense business wise. Because your customer base is diverse by definition, right. >> John: Yah, I mean you need to have the algorithms. So the algorithms are being written by only a small percentage of the population. >> Sylvain: Yah, yah. They're inherently bias. >> Sylvain: They are. >> So we need to have that diversity, and plus diversity brings more unique perspectives. It might slow things down a bit. But you're going to get a much more broader representation. >> Sylvain: It is, and... >> And we heard with that in front with Mark Zuckerberg in front of senate yesterday. (Sylvain laughing) Questions like, you know... There's biases in there. Who's writing the algorithms? >> Yah, it's became even worse with AIM mission learning. If you feed this intelligence, that I've said is bias or discriminative, then AI will behave, like, with discrimination. >> And they're hidden bias so people might not even know that their biases is builtin. >> So it's terrible. I've arranged a number of money to take in the industry. In the valley's, 12 percent. So we really... and it's also bad for, like you know, authenticity. But also, I would say, none visual diversity, right. Like, what zip code? What background? What academic background do you come from? >> Yah. I mean it's a group thinking, mentality. "Oh we went to Harvard", "Oh you're instantly funded." >> Exactly. >> I mean that was the old way. The new way is the new generation. You do amazing work, we applaud your mission and success. We think this is the model, in fact, I'm even more aggressive, that you should get tax-deductions for contributing your time to the school. And the students should get a tax-deduction off the payment. This is a very skilled model. Congratulations. You should propose that. Get Mark Zuckerberg's in and Washington, DC. >> You should send to us. (laughing) >> Send some text messages, while you're there change some regulations. Hey, thanks for coming on. >> Thank you very much. >> Thank you >> Holbertonschool.com. Check it out. Great mission, changing the education paradigm. Bringing a new paradigm for learning. Really filling the gap in the jobs front, across the world. It's theCube of course doing our part. Sharing it with you. Back with more live coverage here at Cisco DevNet Create, at the Computer History Museum. We'll be right back. (upbeat music)

Published Date : Apr 11 2018

SUMMARY :

covering DevNet Create 2018, brought to you by Cisco. Live here in Silicon Valley at the Computer History Museum with some of the folks you work with at your place there. and so when you look at the student debt, you know, And so we want to be a part of the solution So, you know, as people look to hire, say, and one of the issue we saw is that a lot through a lecture to share, we lecture you right. The requirement is that you have to be over 18 years old. Lauren: Until you find a job. And the final contribution that students make to the school So that, you know, an organic circle where, We are investing in our students worthy of this school. Because you're motivated to do it right. What it's like to work for a startup. that you really want... Is it the for-profit? But it's got a mission driven initiative. So you just raise some funding. And with the location we had, And to give you an idea of the scale, And you have a under represented minority kind of component, It's open to anyone over 18. I mean like, if you have like 500 spots. So do you sort it? You get the lottery? the application process who make it. Which is something that not everybody, you know, can do. So you identify success criteria, They didn't have the right family, you know, and then had to pay it all back... It's like you wanted it upfront for free. the math in advance. So if you don't find a job then, you don't pay anything. Do they have to be obligated to pay you? And it's basically like a monthly, you know, deposit. So like, you know, So we are partnering with a lot of organizations. And the represented, you know like, demographic to, Lauren: I won an award, yah. And as you say, John: Yah, I mean you need to have the algorithms. Sylvain: Yah, yah. So we need to have that diversity, And we heard with that in front with Mark Zuckerberg If you feed this intelligence, that I've said is bias And they're hidden bias so people might not even know that like you know, authenticity. "Oh we went to Harvard", "Oh you're instantly funded." And the students should get a tax-deduction off the payment. You should send to us. while you're there change some regulations. Really filling the gap in the jobs front, across the world.

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Heidi Waterhouse, LuanchDarkly | DevNet Create 2018


 

>> Narrator: Live from the Computer History Museum in Mountain View, California. It's theCUBE, covering DevNet Create 2018, brought to you by Cisco. >> Welcome back everyone, live here in Silicon Valley in Mountain View, California, it's theCUBE coverage of DevNet Create. This is Cisco's cloud developer, DevOps, cloud native developer environment. This is different from DevNet, that's their Cisco developer conference, so we're here covering it. This is where all the action in Kubernetes, DevOps, and a lot more. I'm John Furrier with my co-host Lauren Cooney. Our next guest is Heidi Waterhouse, Developer Advocate for Launch Darkly. Welcome to theCUBE. >> Hi, thank you! I'm glad to be here. >> Thanks for coming on. So first of all, take a minute to talk about what you guys do as a company, then we'll talk about some specific DevOps questions that we have for you. >> Excellent. So, what we do as a company is, I summarize it as feature flags as a service. We are giving people a control surface to be able to deploy their code safely in the daytime, so nobody has to stay up on a deploy bridge, and then control who sees it very precisely, and roll out individually or do work to do intricate testing with user groups or we sometimes use it, imagine if sales could turn on a feature, a test feature for one client without needing to go to development and get approval for all of that. So it gives us the ability to let people be richer in their expression of software. >> So is it software as a service? Is it cloud-based? >> Yes >> It is 100 percent cloud-based. >> So, subscriptions, free? >> We charge by developer seat, and all we are saying is, go ahead and use it, we have the capacity to handle it. We're handling about 25 billion flags a day right now. >> So it's a great tool, so it's not like a big over the top feature cost. >> Oh, no. >> It's like nice lightweight usability, the more you use it, the better utility. >> Yeah, it's very light. It's a couple SDKs and then a code snippet about this long, depending on your language. The Java one's a little longer. And what it gives people is the ability to do feature flags, which lots of people are already doing, in a manageable way, with a structured API, so that people can keep track of what's happening. And make sure that they are only allowing the right people to turn flags on, because you don't want everybody to be able to hit the kill switch. You want a kill switch on the feature if it starts spitting out garbage, but you don't want it to be universally accessible. >> I think you also want it to be consistent, right? In that environment and those environments, where the developers are trying to understand what that looks like. >> Right, and auditable. We give you the ability to see every change that's happened to a flag and who made it. >> So DevOps is going on almost a 10-year run now. If you look back on the original kind of DevOps ethos, really was kind of coming in late in the 2007 time frame, the real hardcore DevOps were building their own stuff. So we're 10 years into what I would call the true DevOps, maybe earlier. You could argue a little bit earlier when Amazon hit the table, but can you tell about the kinds of things that you guys are doing is really large DevOps environments, where you want agility, you want real-time, push code all the time, but be reliable. This is more of a mature-looking dev team. How has that evolved there? What are some of the key things? This is kind of probably an indicator, of where everything else is going. What are some of the developer concerns? Is it A/B testing? That's kind of a trivial example, but I often imagine all kinds of new software methodologies are coming out of this. What are you seeing? >> So what we're seeing is, for 20 years, we've been teaching and preaching branch-based development. But it turns out the very largest software organizations, like Google, are doing trunk-based development, because branches are just a way to cry. Once you try and merge something back in, you find out that you have conflicts, and then you have to have more discussions about who gets cherry-picked, and it's catastrophic. I have said for a long time that maybe my second career is just going to be a trauma therapist, specializing in GitHub, and I think I can make money at that. So we have this inherent belief that branches are just how we code, and what we've been seeing is, people are pulling back more and more into trunk-based development, so that everybody is aware of what's going on all the time, and you can just have one through-line in your code and not have people spoiling off into branches that are unproductive. >> And how you do you manage that? So your tool manages that, or is it more of a philosophy discipline? >> No, it is a side effect of our tool, because the reason we have branches is because we don't want to show people our work in process. But if you can hide it behind a feature flag, and only deploy it, only activate it when you're ready, it gives you a good chance to test it in production. There's nothing that says you can't build your feature, test it in production at full scale, with all your microservices distributed, all of the data flow, everything, but you're the only one who sees it. And being able to target that is really important. It's going to give you a lot of capacity to test things. >> Yeah, and we've seen that, too, all the time, where people are saying, "Hey, you know what, I want to test it before I invest in it." That's a big thing. >> Yeah, it is. And internally being able to test things is going to give you a lot of capacity. So, we find that it is not our, we're not enforcing anything on anyone. That's not our role or our goal. What we're trying to do is offer people a tool that helps facilitate the best of what they're doing. >> Yeah, and when you look at developer tools, I think that's absolutely critical in bringing that to the table for different environments and things along those lines. >> And one of those things I was going to ask you is, when you look at the developer environment, is the developer environments, in your mind, in a spot where people can do this? In other words, will they be able to pull it off in open source, because if someone's got all this open source information going on, let's just say hypothetically, they got the trunk thing going on, but a lot of open source is driving this, so there's some discipline involved, there's some psychology, counseling, as you mentioned, so how do you pull it off? What's the best use case? >> You have to make it advantageous. You have to make it work for them, because people aren't going to do things that don't work for them. I teach a workshop, I was doing a workshop here about documentation, and people were like, "How do you get developers to document?" I'm like, "Well, have you ever fired a developer "for not documenting something?" "Have you ever given them a raise for documenting something? "If you haven't, you don't actually care about them "doing documentation." In the same way, moving culture means that we have to incentivize doing the right thing. We have to make the barrier to entry low, and we have to make it possible for people to just do the right thing more easily than the wrong thing. >> The other thing that I was thinking about, too, is, this is just kind of my personal opinion, 'cause the things you mentioned are really important, and that is that, doing testing at scale is a big deal, because if you think about all the wasted time that goes into, just the politics, whether it's politics or lobbying to get something in, a feature built, I mean, you're talking about months, weeks, I mean, it's a nightmare. So imagine a capability to say, and this is the promise of DevOps, this is ultimately why this is so awesome. >> So, this is like, move fast and don't break things very much. And I like to think of, every plane you get on is a little bit broken, it has an error budget, and if it exceeds the error budget in any direction, even if it's like an overhead latch bin, they ground the plane. But our organizations also need to be that resilient. We need to have that flexibility, and I think the way we can do that is by being able to instrument our features and turn them off if they're causing problems, or turn them down if we're getting flooded, or whatever it is we need to do, we need to do it at a finer grain than we've currently been doing. I don't ever want to have blackouts, like maybe a brownout. >> And Heidi, the other thing I think is interesting with what you guys are doing is that, this whole event here at DevNet Create, and all the other events that are, I call cutting edge developer events, the vendors who sell stuff, like Cisco, whether they're big, and new vendors, the old model of preaching and jamming solutions down your throat is not the way it works anymore. All the enablements has to be there, but the co-creations happening, really from the people who are building their own stuff, so that's kind of going to have to be a dynamic, creative environment, so you need to have a really pure DevOps environment. Well, not pure DevOps, I mean an environment that's going to be facilitating creativity, risk-taking, >> Yes. >> experimentation, building concepts, not, "Oh, I'm constrained, because this psychologically doesn't support," >> Yeah, it's hard to do advanced thinking when you are not psychologically safe. But I do think that you don't have to be operating in the purest of DevOps in order to be taking in some of these tools and techniques and using them effectively. I think there are a lot of people who have, for instance, taken up blameless post-mortems. Even if they're not doing anything else in the DevOps sphere, they're like, "Oh, wait, we could talk about "root causes that weren't, like people screwed up," and I want us to say whatever you can do that's going to improve your environment. I don't want people to feel like they have to absolutely transform everything, because that's too big an ask. >> Yeah, it's disruptive, too, to operations. You want to be just enough disruptive. Alright, I want to get your thoughts on something that I've been thinking about for a while, been talking about on theCUBE, and that is, I come from the old, when I was growing into the business, it was all waterfall-based software development, Agile comes along and it de-risks everything, because the old days was you created a product, you crafted it, you shipped it and you don't know if it was going to work or not, right? And you did QA, all that, you prayed. Now, with Agile, that got de-risked, so you, you're shipping code, you're iterating, but I'm arguing that the craftmanship has kind of gone out of it, because you're constantly programming, and so, that's kind of my opinion. Some people will debate that, but, now we're seeing a move towards, with the Agile Methodology, which I love, and a role of craftmanship, where cloud is kind of going to the next level, you're starting to see people think about crafting the product. So, as Agile goes to the next level, what's your opinion, view, of crafting process, now the user experience has gone beyond just look and feel and being good, mission-based applications, you're seeing new kinds of psychology of how people use things. So diversity becomes important, but the role of crafting and the methodology, is there a spot for that? How does that fit in? I mean, if you're constantly shipping code, push, push, push, are you crafting it? Is there, what do think, is there an art? Where's the artistry of it? >> Where is the artistry? Well, artistry isn't replicable. So this is sort of a problem, because what we really want is consistency. So I think eventually we'll become sort of like novelty ice cube molds. There's somebody who carves the original novelty ice cube mold, and then we all use it to make novelty ice cubes that fill our heart with delight. There is an artistry, but we're going to have to pay people to do it, and currently, we're only paying them to cool our drinks. And until we really make some time to say, "It is saving me time, it is saving me money "to have a well-crafted product," we're not going to change. And I think that's an interesting thing about serverless and function as a service, is it really pays to have a super well-constructed system. Those microseconds do count there, in a way that they haven't in the age of eternal storage and basically all the bandwidth we can consume. And I'd like to see that applied backward toward people who have very low bandwidth. I would love it if one day a month, everybody dialed down their corporate internet to the speed that rural America is getting, and see how they feel about their apps then, because there's a lot of people out there who do not have our big fat pipes. >> And also outside of the United States, too. Again, I'm not saying that there's not good software. I'm just kind of seeing a trend where, certainly I have seen this in DC and outside of the US, where mission-driven enterprises have completely different criteria for the product. And so I'm just trying to, I'm seeing some early signals around that the software methodology might, not shift, but it just feels like it's some action there, and I always kind of keep an eye on that. >> So the thing that I think is going to happen, and this is my weird futurist hat, is, I think we are going to have more and more modular, snap-together assemblies, and the product manager is going to rise from the ash heap and be the person who says, "Look, these are all the things that we need to assemble. "Please go find the parts, "so that we can build this that we want," in a way that we haven't prioritized in a realm where we're like, "Well, developers tell me how to do this." >> So componentized feature. >> Yeah, a componentized feature, I see us really moving strongly toward that. I think that's a lot of what we're doing with serverless, and software as a service is like, "Why build it yourself if somebody has already done it?" Like, "Please don't roll your own." Don't roll your own authentication, don't roll your own LDAP. It's a solved problem. Buy it and snap it together in a way that serves your customer. >> Jim Zemlin said this at the Open Source Summit in LA last year, he called it the open source sandwich, only 10% of the solutions are a unique IP, 90% of it is the bread that's from open source. So, to your point, this has already kind of going there, the exponential growth in open source is becoming significant. So with that in mind, that's going to play a part in that futuristic view, it's happening now. Your thoughts on open source, you mentioned that you could be a crisis counselor (laughing), a therapist, or whatever, I mean, there's a lot going on that's now tier one, it's multi-generational now, it's not the old days, renegade second-tier citizen, open source is powering the world. Your thoughts on the current state of open source? >> I think open source is a fascinating example of doing what we need and how it helps other people. And so, almost all open source projects, even now, start with personal pain. And then we expand them to other people. And I would like us to remember that the reason it's open is because we care about other people's pain, and it's really easy as we corporatize open source to forget that that's where we came from. >> And it's community-driven, and it's done in the open. >> Yeah, exactly, and revealing everything that we're doing is an excellent value, even if we're not necessarily licensing it. You can go and look at all of Launch Darkly's APIs. We have them out there, but we're not an open source company, we're just-- >> Transparent. >> Those are values that we have, that we want to be able, we want people to trust us, so we're going to show them. >> Well, congratulations, it's great to have you on. Great conversation. >> Thank you! >> Love the futuristic view, riffing on some concepts we've been thinking about, also. Got a great service, making possible to operate at scale, get new features tested and fire those capabilities. Appreciate it. >> Alright! >> Thanks for coming on theCUBE. >> Thank you! >> Thanks! >> We're here at DevNet Create, Cisco's cloud DevOps developer get-together. I'm John Furrier. We'll be back with more coverage after this short break.

Published Date : Apr 11 2018

SUMMARY :

brought to you by Cisco. Welcome to theCUBE. I'm glad to be here. So first of all, take a minute to talk about We are giving people a control surface to be able to and all we are saying is, over the top feature cost. the more you use it, the better utility. the right people to turn flags on, I think you also want it to be consistent, right? We give you the ability to see in the 2007 time frame, and you can just have one through-line in your code It's going to give you a lot of capacity Yeah, and we've seen that, too, all the time, is going to give you a lot of capacity. Yeah, and when you look at developer tools, and we have to make it possible for people to 'cause the things you mentioned are really important, and if it exceeds the error budget in any direction, All the enablements has to be there, operating in the purest of DevOps in order to be because the old days was you created a product, and basically all the bandwidth we can consume. and outside of the US, where mission-driven enterprises and the product manager is going to rise I think that's a lot of what we're doing it's not the old days, renegade second-tier citizen, that the reason it's open Yeah, exactly, and revealing everything that we're doing Those are values that we have, that we want to be able, Well, congratulations, it's great to have you on. Love the futuristic view, We'll be back with more coverage after this short break.

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Day Three Kickoff | IBM Think 2018


 

>> Narrator: Live from Las Vegas, it's The Cube, covering IBM Think 2018. Brought to you by IBM. >> Hello everyone, welcome to the third day of live coverage here at IBM Think in Las Vegas. This is The Cube, our flagship program, we go out to the events, and extract a civil noise of the leader in live technology coverage. I'm John Furrier, with my co-host Dave Vellante. Our seventh, eighth year covering a bunch of IBM shows. With all now six of them rolled into one IBM Think, this is their big tent event, day three, keynotes just finished, it's blockchain day here at IBM, and as we said, on the opening, on Tuesday, this is like, the innovation sandwich. In the middle is the meat, is data, and then the bread is blockchain and AI. And really that is the architecture of IBM's future strategy, foundationally set up by cloud computing and a variety of other applications and whatnot, but really the future is about data, with blockchain and AI surrounding it. Today's blockchain day, your thoughts on the keynote? Keynote speeches? >> Mm-hm. >> IBM, blockchain, certainly we've seen a lot of advertising on TV. Your thoughts and reaction to the keynote. >> Yeah, and I like your innovation sandwich, I just want to add, that the substrate of all this is cloud. It's critical, if you're going to get network effects, you've got to have the cloud. Today, yeah, was blockchain day, we heard from Marie Wieck, who's the general manager of IBM blockchain. IBM has a tendency, as you know, John, to identify a hot trend, especially some in Open Source, they did this with Linux, they did this with Spark, and they kind of, elbow their way in, you know, maybe that's a pejorative, but they do that, and they say, "Here's some code, here's some resources." They spend money on it, and they give credibility to that Open Source effort. The Hyperledger project is the one they targeted here. It's the fastest growing project in the history of the Linux Foundation. IBM contributed lines of code, people, they've got 15 hundred blockchain experts on this, and they're going all in on blockchain. Which I think, John, is really positive for the blockchain, and even the crypto community, because it brings the credibility of a, you know, a Fortune 100 company to that world. They've announced the blockchain starter kit. All this stuff is available on the IBM cloud. They announced today PWC as an audit partner, which again, brings credibility to the table. Although, I think as you and I know, and we're going to have some guests on later today, there's some other tech emerging, that is going to maybe complement that. >> Yeah. >> And we heard from David Katz, who is the CEO of Plastic Bank, this is the company that's essentially creating currency out of plastic. Allowing disadvantaged people to turn collecting plastic into money. And, at the same time, help save the planet. >> I mean, this is a great example of blockchain as an enabling technology. New ways to do business. As you know, we've been hot on blockchain for the audience watching, you know, we've been covering big data, and AI, that's in our wheelhouse, do all those shows and events, cover that territory with our journalism, and TV and research. But blockchain is an adjacency to storage and infrastructure, and also decentralized applications. The fundamental thing that we're seeing, and we talked to Brian-- Brian Behlendorf, who's with the Hyperledger project, at the Open Source Summit, the Apache Foundation, which IBM is a big sponsor of, IBM needs to do well here. Because they're, again, innovations is essentially betting on blockchain. But it's not just the developers at Open Source, the business users are the ones that are going to create the value, and what I mean by that is, if you look at the blockchain world, and crypto currency and decentralized applications, that's essentially the three components to this market. The blockchain is the infrastructure, ledger, storage of data, et cetera, you know over simplified, but the cryptocurrency runs protocols and infrastructure that power that, and then the application's going to sit on top. We've reported and observed that the secret of success in this new world, is nailing the business logic, and the business model, efficiencies that take advantage of the underlying technology. And that the risk factors in making that success happen, is that business model, not the technology. Although the technology is super important, the technology can be switched out a reduced risk. So the real risk in blockchain and cryptocurrency, and decentralized applications is nailing the business model disruption. This is different than the old way of tech, which was the risk was technology selection. This is a big deal, IBM needs to up their game on that piece of it. I've heard a lot of tech, I've got some nice use cases, but on the outreach basis, they got to go to the business users, and say, "This is an opportunity to leverage the data, "leverage the software and AI with watts and other things." And then leverage the underlying technology, software defined storage, software systems that move to the blockchain, in a decentralized and distributed way. Distributed and decentralized is the future of infrastructure, this is the secret of success, this is where the winners are establishing the clear line of sight. >> Well, one of the things that you're hearing at this conference, Ginny set this up yesterday, was incumbent disrupters, and we were just, kind of, having fun at the open yesterday, but I think it's really smart for IBM. You know me, John, I'm a big fan of saying most of your business is going to come from your existing customers, and if you're chasing all this new business, and start ups, and developers, you're not going to be as productive as if you go to your core. And I think that you're seeing this. IBM back to the core, and they're bringing blockchain to that core as a way to disrupt existing business models, defend against disrupters. So you're absolutely right, companies need to look for inefficiencies where there's a third party taking a toll, and then attack it hard with blockchain. I actually think-- well no, so IBM is really talking business. How do we bring blockchain to the business? They're not really talking about what we talk about a lot, this crypto economy and this whole other mission driven initiative. >> Well, but I mean, if they want to talk business, they got to talk token economics. That's where the business model efficiencies will be rendered on the app side, and the money side. The killer wrap in blockchain and crypto is money. Okay, and marketplaces. IBM got to great marketplace, but it's not just about the developers, that's an organic one stakeholder. The stakeholders that matter is the business guys and the developers coming together. That is absolutely fundamental. If they don't understand that, that's going to be hard to be successful. You can't just throw money at developer programs and say, "Oh, when we win the developers, we win the day." Cloud was, kind of, that playbook, but this world is so fast, and accelerating in it's value creation, that the business users are fundamental in actually grokking what the capabilities are, and putting that into motion quickly, and the proof points is pilots converting to production. That's going to come from the business units. That's where the intellectual property is, is looking at the technology innovations that are possible on the business logic. Business logic is the new IP, this is where the action is, and I haven't heard IBM talk at all about token economics, they kind of talk about it, but that really is the business impact. >> Well, I mean, you sort of heard that today from Plastic Bank, although they didn't talk about a token, they didn't talk about coins, they did talk about monetizing plastic, but in using blockchain to do that, I assume there's tokens behind that, but maybe not. Maybe it's just Fiat currency. It's unclear to me, but I think you're right, the killer app is money. >> Look at it, this is simple. The equation in crypto, and not blockchain, is value creators create value, and they can capture the value. Capturing the value is where the money is, the creating the value is where the technology can happen. So you got to nail both of those as areas. And money is the killer app, so that's going to come from the business side, so the real benefit of decentralization is offering the value capture equation to look different and be different. That's token economics. That's where the action's going to be. So, it really is, it's not mutually exclusive, they're both things. >> Well I think that what you're hearing, so value comes from two places in the simplest form, increased revenue, cut costs. I'm hearing a lot from IBM of cut costs, now again, the Plastic Bank this morning was a really interesting example, I'm glad IBM uses it, but the vast majority of things you're hearing from IBM, like the IBM Maersk relationship, et cetera, are about cutting costs, taking out inefficiencies. >> Well, I mean, the bank thing is easy to look at in your mind, but it's any supply chain. The ICO market that's at a massive bubble right now, is because the supply chain of funding start ups and growth, used to come from private equity and venture capital, that is being disrupted because it certainly hyped up, but that's a supply chain. Any supply chain activities, set of activities, that make up a supply chain, can and will be disrupted by blockchain, crypto, and token economics. >> Yeah, so let's talk about that. Because again, you're not hearing a lot of that from IBM. But I think we have a perspective there. You know, the 1.0 was the wild west, a bunch of developers, blockchain developers, theory developers, doing stuff, building up protocols, making a lot of money. And disintermediating the VCs, right? The new form of raising capital. The VCs are now all in, right? We saw this in Bahamas, you saw this in Puerto Rico, at the two conferences, at four conferences that we covered. So explain that? >> Well, that's just one application, the VCs and these guys are inefficient in some way, but what's happening with crypto currency about access to capital. Now there's a lot of capital being thrown out there. That's mainly because of the hype and the bubble aspect of it, but the real disruption is access to capital, that value chain, value activities are being disrupted and being more efficient. That's a global phenomenon, and that's happening in financing of start ups. Anything with a supply chain, whether it's moving food from point A to point B, is what IBM also highlights as well, anything that's structural incumbent is at risk. And so, this is where, I mean IBM has a ton of supply chain business. They've been doing this for generations in the computer industry. They connect systems together, and create value with using technology. So this is not going to be-- this is a great opportunity for IBM. Again, if they can convert that business value into the blockchain with the value capture, the create capture model, they can run the table. >> But I want to come back to innovation equation. And part of that innovation equation is being able to raise capital. And last I checked, which was last month, about 6.5 billion had been raised in crypto investments. >> And 60% of the projects failed. >> For sure, okay. But failure-- Silicon Valley, fail fest, it's probably up to 10 billion now, much more is being raised through crypto in startups in blockchain than there is in VC. The VCs realized this, and they want a piece of the action, but we're seeing private equity, we're seeing hedge funds, we're seeing crypto billionaires. >> The path of least resistance for the entrepreneur is where the action is. They go right to the new money opportunity. Because they can raise more money. >> So, here's the question. You take Fiocoin, for example, smart guys, trying to go after S3 with peer to peer storage, they raised 250 million dollars in 30 minutes, okay? Is it too much too fast? >> Yes, I think so, but it's what the market's giving. I mean, Fiocoin doesn't even have a product. They're on a roadmap. That's essentially a series A financing. >> Dave: That's a series C. >> Well, no, in terms of the evolution of the startup, it's a seed financing as a series C or D or F financing. >> Yeah, 250 million. >> I mean, it's insane. >> David Scott told us that he needed 85 to start Three Par. I mean that's a storage company 10 years ago, 20 years ago. >> Yeah. >> What a change. At 250 million. >> Look, it's a bubble. But the reality is that it's a bubble that's not going to pop and destroy the sector, it's just a proof point that the efficiency of funding is going to be disrupted. It is being disrupted. >> No, we'll see if it's going to destroy this sector or not. This could, you know-- Warren Buffet says it's going to end badly, others are believers. >> I'm long on blockchain, obviously you know that. I'm pretty biased, but anywhere there's inefficiencies, there's an opportunity for entrepreneurs and business leaders to put new business logic in place to capture that value. That's where the action will be. That's the innovation. And if IBM's innovation sandwich could work, you got a blockchain AI, data in the middle, everyone's going to be full and hungry and eat up everyone's lunch. So, Dave, that's the blockchain day. I'm John Furrier, with Dave Vellante, day three wall to wall coverage here at IBM Think in Las Vegas. More live coverage after this short break. (futuristic music)

Published Date : Mar 21 2018

SUMMARY :

Brought to you by IBM. and extract a civil noise of the leader Your thoughts and reaction to the keynote. and even the crypto community, And, at the same time, help save the planet. that's essentially the three components to this market. Well, one of the things that you're hearing and the proof points is pilots converting to production. the killer app is money. the creating the value is where the technology can happen. but the vast majority of things you're hearing from IBM, is because the supply chain of funding start ups and growth, And disintermediating the VCs, right? but the real disruption is access to capital, is being able to raise capital. but we're seeing private equity, The path of least resistance for the entrepreneur So, here's the question. but it's what the market's giving. Well, no, in terms of the evolution of the startup, I mean that's a storage company 10 years ago, What a change. But the reality is that it's a bubble that's not going to pop Warren Buffet says it's going to end badly, So, Dave, that's the blockchain day.

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Jean English, NetApp | NetApp Insight 2017


 

>> Announcer: Live from Las Vegas, it's The Cube, covering NetApp Insight 2017, brought to you by NetApp. >> Okay, welcome back everyone. We're here live in Las Vegas, Mandalay Bay. This is The Cube's exclusive coverage of NetApp Insight 2017. I'm John Furrier, the cohost of The Cube, co-founder of SiliconANGLE Media with my cohost, Keith Townsend with CTO Advisors. Our next guest is Jean English. She's the Chief Marketing Officer of NetApp. Great to see you, thanks for having us, and thanks for coming on The Cube. >> Oh, thank you, thank you guys for being here. >> So NetApp is no longer a storage company, we learned. But then last year, now this year, you're a data company. >> Jean: (laughs) That's right. >> The brand promise is still the same. Take us through, as the Chief Marketing Officer, you have to, it's a complex world. One of your concepts here we've been seeing is winning while in a tough environment and IT is a tough environment. I got application development going on. I got DevOps. I got data governance. I got security issues, internet of things. It's a challenging time for our customers. How is your brand promise evolving? >> So we really see that NetApp is the data authority for hybrid cloud, and the amazing thing is is that what we see is our customers aren't talking to us about storage anymore. They're talking to us about data, and what their data challenges are, and most companies are trying to think through if they're going to transform, how are they going to harness the wealth of the data. What are they going to do to maximize the value of the data? >> And the cloud too is center stage, 'cause the cloud is a forcing function that's changing the relationship of your partners, VARs who has a lot of folks on talking about the dynamics with customers around multiple clouds. We saw on stage the announcement with Microsoft. Congratulations. >> Jean: Thank you. >> So you've been in Amazon for a while. We've been covering that, but the on-premise work still is growing, where you have the data from Wikibon Research came out shows that the on-premise true private cloud, which is defined as cloud operation business model is actually growing. However, the decline in automation of non-differentiated labor is declining by 1.5 billion over the next five years, which means the SAS market is going to continue to explode and grow, so the on-premise is actually growing, as is the cloud. How does that change the narrative for you guys, or does it, or is that a tailwind for NetApp? >> We think it's a complete tailwind in for NetApp. When we think about data today, we see that it's really becoming more distributed across environments. It's definitely more dynamic, as you're looking for the latest source of truth. And the diversity of data, especially with machine learning. I mean, it is exploding. So, how do you start to be able to build that data together? We really think of it as that our customers want to maximize that value and the only way to do that is to start to think about how do they bring it together, and how do they get more insight from that data, and then how do they have more access and control of that data, and then the most questions we usually get from our customers around, how do I make sure it's secure? But the really big point is is that, as we think about what NetApp is doing, it has been about three things that we see with our customers. They have to make sure that they're modernizing what they have today, and that goes to the on-prem environment, so if it's going to be that they got to accelerate applications, they want to make sure that they have that. But this notions of building clouds, even building private clouds. And we think of that as a next-generation data center, especially with DevOp environments. Then harnessing the power of the cloud and hybrid cloud world. And if they are not able to really leverage the cloud for SAS applications, if they're leveraging the cloud for backup, or even disaster recovery, data protection, that's where we see that these three imperatives, when they come together, that they're truly, truly able to unleash the power. >> So we saw on stage, CEO George Kurian talking about his personal situations in light of what's happened in Las Vegas here. Data is changing the world, and your tagline is "Change the world with data." So I got to ask you, obviously, data, we see a lot of examples in society and also personal examples of data being harnessed for value. The cloud can be great there, it's all on-prem. How do you guys position NetApp as a company? I know there's a lot of positioning exercises in marketing you do, but positioning is really important. That's what you do. The tagline is kind of the emotional aspect of it, okay, changing the world, let's change the world with data. I believe that. But what's the positioning of NetApp? How would you say that the positioning- What's the positioning statement of NetApp? >> The positioning statement of NetApp, I think we've really seen a big break in the positioning in the last couple of years. And why is because the customers are demanding something different. They're really looking for more hybrid cloud data services. And what are those data services that accelerate and integrate data, and that notion of on-prem and in the cloud, that's where we see what's going to happen to accelerate digital transformation. And so, this notion of yes, thought about as storage before, customers are demanding more for their data and they need data services, especially in hybrid environments to really be able to drive their business. >> The old expression, "Position it, they will come." And you guys have done a good job with the data. Okay, now let's get to the customer reality. You have to go out and do the tactical marketing. They're busy, right? There's a lot of noise out there. We just came back from New York and our Big Data NYC event that we ran in conjunction with Strata, which is a separate event, and it's clear they don't want the hype. They want reality. The rubber's hitting the road because they're so busy, and with the the security and the governance challenges- GDPR, for instance, in Europe is a huge pressure point for data. A lot of challenges but they want the magic. (laughter) It should be easy, right? But it's not. How do you guys go out day to day and take that to the field message? What's your strategy? >> Well, you talked about changing the world with data. And it feels like a lofty promise, but we really believe that when we come down to the purpose of why NetApp exists, it is to empower our customers to change the world with data and that's something that NetApp has been focused on not just for today, but the 25 years of history, and then also into the future. So what makes that the reality? Well number one, they want something that's simple. And so this notion of simplicity, and no matter how they think about managing or optimizing their data, it's got to be simple and easy to manage. Optimized to protect, I think data protection is critically important. Things about safeguarding data across its life cycle. and I think that NetApp has always been focused on how to make sure data is secure and protected. And that now is what we're seeing in the cloud too. So, all the relationships and partnerships that we've been creating and solidifying, AWS has been for the last couple years, we've had some latest`announcements of what we're doing to really make sure we have stronger data protection in multi-cloud environments. Obviously, today from what we're doing with Microsoft Azure, in really providing- Not even having to know how to manage storage, you can do it easily in Azure, and- >> No, I'm sorry. I really love this, this message from NetApp. As a traditional technologist, I understand NetApp disrupting the original storage CN Market with Fowlers, you guys were one of the first in the cloud with AWS, so from a trusted partner inside of the infrastructure team, I understand the vision of NetApp. But the transformation also means that you're starting to expand that conversation beyond just that single customer of the storage admin, of the infrastructure group. How is that messaging been going towards that new group of customers within your customers who have said, "NetApp? Isn't that a storage company?" How is that transformation been going? >> (laughs) You know, when we talk about reinventing, NetApp is reinventing itself. And that's what we're going through right now. And what we see is, is that the customers that we know and love, the storage admins and the storage architects, those are definitely tried-and-true and we love our relationships with them. But we see that the demands around data are growing and those demands are starting to reach more into DevOps, application developers, definitely into cloud enterprise architects as we think about cloud environments. The CIO is now under more pressure to think through how- They have a mandate to move to the cloud. Now what? But who do they want to move with? Someone that they've trusted before, and by the way, because we've been first, and because we're so open with all our relationships with the cloud providers, why not move with us? Because we can help them think through it. >> So you're keeping the core. You're not pivoting off the core, you're building on top of the core, extending that. Is that what you're saying? >> We're building off of a really great foundation of who we've had as customers all along. We're establishing new relationships, though, as well, with cloud enterprise architects, and today, we actually just had here at Insight our first executive summit, where we brought together CIOs and CTOs and really talked about what's happening with data and organizations, what's happening with data that's being disruptive, what's happening if you want to thrive, based on data as well. >> There used to be an old expression back in the day when Polaroid was around, "What's the new Polaroid picture of something?" Now it's Instagram, so I have to ask this question. What is the new Instagram picture of NetApp with the customers that you have and for customers now in the data space, there's a lot of data conversations happening. What is that picture of NetApp? What should they know about NetApp? >> NetApp is in the cloud. >> Yeah, I love that messaging that NetApp is in the cloud. And how important is that moving forward? Especially as we look at technology such as ONTAP. They have been there from the beginning. I love the NFS on Azure story, but that's powered by ONTAP, which I kind of- It took me a few minutes to kind of get it, because I'm thinking, "ONTAP in Azure, that's bringing the old to the new." But that's not exactly what it is. What messaging do you want customers to get out of something like an NFS in Azure? >> We want them to understand that they don't have to know anything about storage to be able to protect and manage their data. No matter what environment that they're in. >> And by the way, we've been looking at and commenting critically on The Cube many events now that multi-cloud is a pipe dream. Now I say that only as folks know me. It's real. Customers want multi-cloud, but multi-cloud has been defined as, "Oh, I run 365 on Azure, and I got some analytics on Redshift on Amazon, I do some stuff on-prem. That's considered multi-cloud because there happen to be stuff on multiple clouds. You guys are doing something with cloud orchestrate that's quite interesting. It truly is multiple clouds in the sense that you can move data, if I get this right, across clouds. >> Jean: That's right. >> So it's in a complete transparent way, seamless way, so I don't have to code anything. Is that true? If that's true, then you might be one of the first multi-cloud use cases. >> We are one of the first multi-cloud use cases. We have created the data fabric, which is really looking at how do you seamlessly integrate across multiple clouds or on-prem environments? The data fabric, we've been talking about this vision for a couple of years. What we're seeing now is customers are seeing it come to reality. And now that we have more and more relationships expanding, as we mentioned we've been building SAS offerings with AWS for a couple years, we just had the big announcement today with Microsoft Azure. We're working with IBM Cloud. We're also working with Google Cloud, Alibaba, so as we think about a seamless data fabric, they want frictionless movement in and out of the cloud. >> Jean, I got to change gears for a second, because one of the things we've been observing over the past couple of months, certainly we were at the Open Source Summit, Linux Foundation. Open source is growing exponentially now. You've seen the new onboarding of developers in general and enterprise is going to take the bulk of that. Companies are supplying personnel to contribute on open source projects. That's continuing to happen. Nothing new there. But it's starting to change the game. You see Blockchain out there, getting some traction, ICOs and all that hype, but it points to one thing. Communities are really valuable. So as a marketer, I know you were at IBM, very community-oriented, very open source oriented, the role of communities is going to be super important as customers discover- So marketing is changing from batch marketing, you know, surge email marketing to real-time organic with communities. It's not just have a social handle. Really, have you guys looked at the B2B marketing transformation as customers start to make selections and take opinions in the new organic communities, because you have people in these projects, in open source, who are making decisions based on content. What's your view on communities and the importance of communities? >> Well, we believe highly in communities. Our A-Team is a community with us that is so strong, and they're our biggest advocates. They get brought in very, very early on in terms of learning about our new technologies and learning our story and understanding our strategy and where we're moving. I think you may have talked to some of our A-Team members before. >> John: Quite strong, very strong. >> But they are an amazing group of people and we believe highly that their advocacy is what is really going to help us to stay in touch and be really close to these new buyers as well. >> And you've got to really internalize that too in the company. Operationally, any best practices you can share with other CMOs? 'Cause this is a challenge for a lot of marketers is, how do you operationalize something new? >> Yes, well, we're finding that this notion of reinvention and it starts with the company itself. And it starts with their own employees. So when we talk about the shift from storage to data, we're even having our own employees talk about their own data story and how do they connect data. George talked about his data story, actually, on the main stage in our keynote the other day. But connecting to that's been really important. This notion of transforming to think about these new customers and new buyers, it starts with the customer needs, it's not about a product-out discussion. And so, a new story to a new buyer, relevancy, what's happening in their industry, and then engagement, engagement, engagement. >> I've been following NetApp since they were start-up and they went public, great story. They have a DNA of reinvention. David Hitz is going to to come out, I'm sure. We'll talk about that, because he's been an entrepreneur, but he's also had that entrepreneurial DNA. It's kind of still in the company, so my question to you is, from a personal perspective, what have you learned or observed at NetApp during this reinvention, not a pivot, it's not at all. It's more of an inflection point for NetApp and a new way, a new way to engage with customers, a new way to build products, a new way to do software development, a new way to use data. This is a theme we're seeing. What's your personal observation, learnings that you could share? >> Well, in my first month, what I really learned is just the absolute amazing culture of what NetApp has and this notion of we're always embracing what our customers want to where we move. So what our customer wants, we move with it. We embrace it holistically. Years and years ago, you know, Linux and Windows. A couple of years later, virtualization, virtualized environments. Could've killed us. Made us stronger. Now, embracing the cloud. A lot of our customers say, "I would have canceled the meeting with you, but now I understand that you're interested in the cloud and that you're in the cloud, I've totally changed my mind." And we say, "We love the cloud. We embrace the cloud holistically." >> You guys are progressive. I've noticed it's a competitive strategy kind of theory but as the old expression goes, "You got to eat your own to get to the new market. Some companies will milk the market share dry and then can't get to the new model. This is the reinvention challenge. When do you stop making profits to build for the future? It's a tough call. >> It is, but that's why we listen to what our customers say. And so, when they talked about wanting to move to the cloud a few years ago, we said, "We're going to be the first to holistically embrace the cloud." >> Okay, so you got the NetApp Insight 2017 going on in Berlin. Okay, that brings up the question, because it's in Germany, so I have to ask. GDPR has been super hot. The global landscape, how is that going on for NetApp? Obviously you have some experience in outside the US. It's not always the US, North America centric world. What's the global story for NetApp? >> It's not. I lived in China and Singapore, and I know that there are demands that are not just US-centric. When we talk about Germany, I was just there a few months ago, and this notion of how do we start to address the articles that are in GDPR that help to make sure that we have the right compliance and protection for data inside of a country and inside of Europe. We actually have expertise in that area. We've been actually consulting and talking with customers about what they want to do with data compliance and we're being asked now to say, "How does NetApp help address those articles? How do we come back with solutions to help control data and make sure we have the right access of data?" So, we're already consulting with customers. We know it's a top priority, and we have expertise to be able to help. >> We had Sheila FitzPatrick on. She's the Chief Privacy Officer. Very colorful, very dynamic, a lot of energy. >> Jean: She is. (laughs) >> She's going to slap anyone around who says you don't bolt on privacy. Good policy conversations, the policies converging in with that. It's interesting, the global landscape- The Cube will be in China next week for the Alibaba Cloud Conference, so we're going to go report, see what's going on there, so huge international challenge around regulations and policy. Does that affect the marketing at all? Because policy kind of is data privacy and security. Security super hot, obviously. Data security is number- A big thing. How does policy intersect with the technology? How as a CMO do you get that realized and put into action? >> Well, I think basing on the foundation that we're always optimized to protect. That's one of our key foundations of why people choose NetApp. We definitely know that there are other demands that are happening in local markets. I was just in Australia few weeks ago and was meeting with the New South Wales government, which they've had a mandate that all of the agencies need to use their own cloud platform. They've been working with NetApp to ensure that they can have the right data management solutions on that platform. And from a marketing perspective, we embrace that. And so we work with, whether it's Telstar, we're working with New South Wales, we're thinking about how do we ensure that that message is strong, because we know customers there have different demands than just what's in the US. >> So when you get CIOs and and senior executives together at a summit like you guys had over the past few days, ideas start to percolate, problem start to come across. What was some of the biggest policy concerns throughout those conversations? Was it GDPR? Was it something else? What's top-of-mind? >> What we're hearing top-of-mind right now is data governance. And I think that that could be towards data compliance in terms of GDPR for Europe. I think it expands beyond Europe, though. I just heard, like I said, in Australia, where they're having demands based on the government of what's needed to be really driven through a cloud platform. We're hearing through our customers in the last couple weeks about if I'm moving to the cloud, number one, I want to have seamless transition during the move in or out of the cloud, but I got to make sure I've got the right governance model in place. >> So we've heard this repeatedly. Customers moved into the cloud. How many customer are coming to you saying, "You know what, for whatever reason, whether it's cost, agility, the overall capability we thought we'd have available in the cloud, not really what we thought it would be. We need help moving it back." And what is that conversation like? >> Well, it's a conversation that we're able to help with pretty easily. Right now, we have had customers that have either had one, a cloud mandate, so they got to think about how am I going to move all my data to the cloud. Once they actually start getting into the detail, we do a design workshop where we help them think about maybe there's not all workloads going to the cloud. Maybe some workloads go in the cloud. We have had a customer who did move the majority of workloads in the cloud and then decided, actually, we think we'll get better cost performance and better efficiencies if we actually have those back on-prem. We said, "No problem. We can help you with that too." And I think that's the beauty of what we talked about with data fabric is, we're able to help them think through, no matter where they want their data, on-prem or in the cloud, we can help them. >> Jean, thanks for coming up here. I know your time is super valuable. I got to get one more point in, 'cause I want to make sure we get that out there. Public sector. NetApp's position strong, getting better? What's your thoughts? A quick update on public sector. >> We are very, very strong on public sector. We've actually had a strong presence in public sector with our customers for many years. And we're continuing to help them think about too how they start to look at cloud environments. >> All right, Jean English, CMO here on The Cube. Getting the hook here in the time. She's super busy. Thanks for coming. Congratulations- >> Jean: Thank you. >> On great positioning and looking forward to chatting further at The Cube. Live coverage here, Las Vegas at the Mandalay Bay. I'm John Furrier, Keith Townsend. We'll be right back with more live coverage after this short break. (upbeat music)

Published Date : Oct 4 2017

SUMMARY :

covering NetApp Insight 2017, brought to you by NetApp. She's the Chief Marketing Officer of NetApp. So NetApp is no longer a storage company, we learned. The brand promise is still the same. What are they going to do to maximize the value of the data? We saw on stage the announcement with Microsoft. How does that change the narrative for you guys, and that goes to the on-prem environment, Data is changing the world, and that notion of on-prem and in the cloud, and take that to the field message? to really make sure we have stronger data protection beyond just that single customer of the storage admin, and by the way, because we've been first, You're not pivoting off the core, and today, we actually just had here at Insight and for customers now in the data space, that's bringing the old to the new." they don't have to know anything about storage And by the way, we've been looking at one of the first multi-cloud use cases. And now that we have more and more relationships expanding, and enterprise is going to take the bulk of that. I think you may have talked and be really close to these new buyers as well. how do you operationalize something new? and it starts with the company itself. It's kind of still in the company, so my question to you is, and that you're in the cloud, I've totally changed my mind." and then can't get to the new model. to holistically embrace the cloud." because it's in Germany, so I have to ask. that help to make sure that we have the right compliance She's the Chief Privacy Officer. Jean: She is. Does that affect the marketing at all? and was meeting with the New South Wales government, ideas start to percolate, problem start to come across. but I got to make sure I've got the overall capability we thought on-prem or in the cloud, we can help them. I got to get one more point in, how they start to look at cloud environments. Getting the hook here in the time. and looking forward to chatting further at The Cube.

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Andrew Gilman and Andrew Burt, Immuta | Big Data NYC 2017


 

>> Narrator: Live from Midtown Manhattan it's theCUBE! Covering Big Data, New York City 2017. Brought to you by SiliconANGLE Media and its ecosystem sponsor. >> Okay, welcome back everyone. Live here in New York this is theCUBE's coverage of Big Data NYC, our event. We've been doing it for five years, it's our event in conjunction with Strata Data, which is the O'Reilly Media that we run, it's a separate event. But we've been covering the Big Data for eight years since 2010, Hadoop World. This is theCUBE. Of course theCUBE is never going to change, they might call it Strata AI next year, whatever trend that they might see. But we're going to keep it theCUBE. This is in New York City, our eighth year of coverage. Guys, welcome to theCUBE. Our next two guests is Andrew Burt, Chief Privacy Officer and Andrew Gillman, Chief Customer Officer and CMO. It's a start-up so you got all these fancy titles, but you're on the A-team from Immuta. Hot start-up. Welcome to theCUBE. Great to see you again. >> Thanks for having us, appreciate it. >> Okay, so you guys are the start-up feature here this week on theCUBE, our little segment here. I think you guys are the hottest start-up that is out there and that people aren't really talking a lot about. So you guys are brand new, you guys have got a really good reputation. Getting a lot of props inside the community. Especially in the people who know data, data science, and know some of the intelligence organizations. But respectful people like Dan Hutchin says you guys are rockstars and doing great. So why all the buzz inside the community? Now you guys are just starting to go to the market? What's the update on the company? >> So great story. Founded in 2014, (mumbles) Investment, it was announced earlier this year. And the team, group of serial entrepreneurs sold their last company CSC, ran the public sector business for them for a while. Really special group of engineers and technologists and data scientists. Headquartered out of D.C. Customer success organization out of Columbus, Ohio, and we're servicing Fortune 100 companies. >> John: So Immuta, I-M-M-U-T-A. >> Immuta.com we just launched the new website earlier this week in preparation for the show. And the easiest way-- >> Immuta, immutable, I mean-- >> Immutable, I'm sure there's a backstory. >> Immutable, yeah. We do not ever touch the raw data. So we're all about managing risk and managing the integrity of the data. And so risk and integrity and security are baked into everything we do. We want our customers to know that their data will be immutable, and that in using us they'll never pose an additional risk to that underlying data. >> I think of blockchain when I think of immutability, like I'm so into blockchaining these dayS as you guys know, I've been totally into it. >> There's no blockchain in their technology. >> I know, but let's get down to why the motivation to enter the market. There's a lot of noisy stuff out there. Why do we need another unified platform? >> The big opportunity that we saw was, organizations had spent basically the past decade refining and upgrading their application infrastructure. But in doing so under the guise of digital transformation. We've really built that organization's people processes to support monolithic applications. Now those applications are moving to the cloud, they're being rearchitected in a microsurfaces architecture. So we have all this data now, how do we manage it for the new application, which we see is really algorithm-centric? The Amazons of the world have proven, how do you compete against anyone? How do you disrupt any industry? That's operationalize your data in a new way. >> Oh, they were developer-centric right? They were very focused on the developer. You guys are saying you're algorithm-centric, meaning the software within the software kind of thing. >> It's really about, we see the future enterprise to compete. You have to build thousands of algorithms. And each one of those algorithms is going to do something very specific, very precise, but faster than any human can do. And so how do you enable an application, excuse me, an algorithm-centric infrastructure to support that? And today, as we go and meet with our customers and other groups, the people, the processes, the data is everywhere. The governance folks who have to control how the data is used, the laws are dynamic. The tooling is complex. So this whole world looks very much like pre-DevOps IT, or pre-cloud IT. It takes on average between four to six months to get a data scientist up and running on a project. >> Let's get into the company. I wanted to just get that gist out, put some context. I see the problem you solve: a lot of algorithms out there, more and more open sources coming up to the scene. With the Linux Foundation, having their new event Rebrand the Open Source summit, shows exponential growth in open source. So no doubt about it, software's going to be new guys coming on, new gals. Tons of software. What is the company positioning? What do you guys do? How many employees? Let's go down by the numbers and then talk about the problem that you solve. >> Okay, cool. So, company. We'll be about 40 people by Q1. Heavy engineering, go to market. We're operating and working with, as I mentioned, Fortune 100 clients. Highly regulated industries. Financial services, healthcare, government, insurance, et cetera. So where you have lots of data that you need to operationalize, that's very sensitive to use. What else? Company positioning. So we are positioned as data management for data science. So the opportunity that we saw, again, managing data for applications is very different than managing data for algorithm development, data sciences. >> John: So you're selling to the CDO, Chief Data Officer? Are you selling to the analytics? >> In a lot of our customers, like in financial services, we're going right into the line of business. We're working with managing directors who are building next generation analytics infrastructure that need to unify and connect the data in a new way that's dynamic. It's not just the data that they have within their organization, they're looking to bring data in from outside. They want to also work collaboratively with governance professionals and lawyers who in financial services, they are, you know, we always jest in the company that different organizations have these cool new tools, like data scientists have all their new tools. And the data owners have flash disks and they have all this. But the governance people still have Microsoft Word. And maybe the newer tools are like Wikis. So now we can get it off of Word and make it shareable. But what we allow them to do is, and what Andrew Burt has really driven, is the ability for you to take internal logic, internal policies, external regulations, and put them into code that becomes dynamically enforceable as you're querying the data, as you're using it, to train algorithms, and to drive, mathematical decision-making in the enterprise. >> Let's jump into some of the privacy. You're the Chief Privacy Officer, which is codeword for you're doing all the governance stuff. And there's a lot of stuff business-wise that's going on around GDPR which is actually relevant. There's a lot of dollars on table for that too, so it's probably good for business. But there's a lot of policy stuff going on. What's going on with you guys in this area? >> So I think policy is really catching up to the world of big data. We've known for a very long time that data is incredibly important. It's the lifeblood of an increasingly large number of organizations, and because data is becoming more important, laws are starting to catch up. I think GDPR is really, it's hot to talk about. I think it is just the beginning of a larger trend. >> People are scared. People are nervous. It's like they don't know, this could be a blank check that they're signing away. The enforcement side is pretty outrageous. >> So I mean-- >> Is that right? I mean people are scared, or do you think? >> I think people are terrified because they know that its important, and they're also terrified because data scientists, and folks in IT have never really had to think very seriously about implementing complex laws. I think GDPR is the first example of laws, forcing technology to basically blend software and law. The only way, I mean one of our theses is, the only way to actually solve for GDPR is to invent laws within the software you're using. And so, we're moving away from this meetings and memos type approach to governing data, which is very slow and can take months, and we need it to happen dynamically. >> This is why I wanted to bring you guys in. Not only, Andrew, we knew each other from another venture, but what got my attention for you guys was really this intersection between law and society and tech. And this is just the beginning. You look at the tell-signs there. Peter Burris who runs research for Wikibon coined the term programming the real world. Life basically. You've got wearables, you've got IOT, this is happening. Self-driving cars. Who decides what side of the street people walk on now? Law and code are coming together. That's algorithm. There'll be more of them. Is there an algorithm for the algorithms? Who teaches the data set, who shares the data set? Wait a minute, I don't want to share my data set because I have a law that says I can't. Who decides all this stuff? >> Exactly. We're starting to enter a world where governments really, really care about that stuff. Just in-- >> In Silicon Valley, that's not in their DNA. You're seeing it all over the front pages of the news, they can't even get it right in inclusion and diversity. How can they work with laws? >> Tension is brewing. In the U.S. our regulatory environment is a little more lax, we want to see innovation happen first and then regulate. But the EU is completely different. Their laws in China and Russia and elsewhere around the world. And it's basically becoming impossible to be a global organization and still take that approach where you can afford to be scared of the law. >> John: I don't know how I feel about this because I get all kinds of rushes of intoxication to fear. Look at what's going on with Bitcoin and Blockchain, underbelly is a whole new counterculture going on around in-immutable data. Anonymous cultures, where they're complete anonymous underbellies going on. >> I think the risk-factors going up, when you mentioned IOTs, so its where you are and your devices and your home. Now think about 23 and Me, Verily, Freenome, where you're digitizing your DNA. We've already started to do that with MRIs and other operations that we've had. You think about now, I'm handing over my DNA to an organization because I want find out my lineage. I want to learn about where I came from. How do I make sure that the derived data off of that digital DNA is used properly? Not just for me, as Andrew, but for my progeny. That introduces some really interesting ethical issues. It's an intersection of this new wave of investment, to your point, like in Silicon Valley, of bringing healthcare into data science, into technology and the intersection. And the underpinning of the whole thing is the data. How do we manage the data, and what do we do-- >> And AI really is the future here. Even though machine-learning is the key part of AI, we just put out an article this morning on SiliconANGLE from Gina Smith, our new writer. Google Brain Chief: AI tops humans in computer vision, and healthcare will never be the same. They talk about little things, like in 2011 you can barely do character recognition of pictures, now you can 100%. Now you take that forward, in Heidelberg, Germany, the event this week we were covering the Heidelberg Laureate Forum, or HLF 2017. All the top scientists were there talking about this specific issue of, this is society blending in with tech. >> Absolutely. >> This societal impact, legal impact, kind of blending. Algorithms are the only thing that are going to scale in this area. This is what you guys are trying to do, right? >> Exactly, that's the interesting thing. When you look at training models and algorithms in AI, right, AI is the new cloud. We're in New York, I'm walking down the street, and there's the algorithm you're writing, and everything is Ernestine Young. Billboards on algorithms, I mean who would have thought, right? An AI. >> John: theCUBE is going to be an AI pretty soon. "Hey, we're AI! "Brought to you by, hey, Siri, do theCUBE interview." >> But the interesting part of the whole AI and the algorithm is you have n number of models. We have lots of data scientists and AI experts. Siri goes off. >> Sorry Siri, didn't mean to do that. >> She's trying to join the conversation. >> Didn't mean to insult you, Siri. But you know, it's applied math by a different name. And you have n number of models, assuming 90% of all algorithms are single linear regression. What ultimately drives the outcome is going to be how you prepare and manage the data. And so when we go back to the governance story. Governance in applications is very different than governance in data science because how we actually dynamically change the data is going to drive the outcome of that algorithm directly. If I'm in Immuta, we connect the data, we connect the data science tools. We allow you to control the data in a unique way. I refer to that as data personalization. It's not just, can I subscribe to the data? It's what does the data look like based on who I am and what those internal and external policies are? Think about this for example, I'm training a model that doesn't mask against race, and doesn't generalize against age. What do you think is going to happen to that model when it goes to start to interact? Either it's delivered as-- >> Well context is critical. And the usability of data, because it's perishable at this point. Data that comes in quick is worth more, but historically the value goes down. But it's worth more when you train the machine. So it's two different issues. >> Exactly. So it's really about longevity of the model. How can we create and train a model that's going to be able to stay in? It's like the new availability, right? That it's going to stay, it's going to be relevant, and it's going to keep us out of jail, and keep us from getting sued as long as possible. >> Well Jeff Dean, I just want to quote one more thing to add context. I want to ask Andrew over here about his view on this. Jeff Dean, the Google Brain Chief behind all of the stuff is saying AI-enabled healthcare. The sector's set to grow at an annual rate of 40% through 2021, when it's expected to hit 6.6 billion spent on AI-enabled healthcare. 6.6 billion. Today it's around 600 million. That's the growth just in AI healthcare impact. Just healthcare. This is going to go from a policy privacy issue, One, healthcare data has been crippled with HIPPA slowing us down. But where is the innovation going to come from? Where's the data going to be in healthcare? And other verticals. This is one vertical. Financial services is crazy too. >> I mean, honestly healthcare is one of the most interesting examples of applied AI, and it's because there's no other realm, at least now, where people are thinking about AI, and the risk is so apparent. If you get a diagnosis and the doctor doesn't understand why it's very apparent. And if they're using a model that has a very low level of transparency, that ends up being really important. I think healthcare is a really fascinating sector to think about. But all of these issues, all of these different types of risks that have been around for a while are starting to become more and more important as AI takes-- >> John: Alright, so I'm going to wrap up here. Give you guys both a chance, and you can't copy each other's answer. So we'll start with you Andrew over here. Explain Immuta in a simple way. Someone who's not in the industry. What do you guys do? And then do a version for someone in the industry. So elevator pitch for someone who's a friend, who's not in the industry, and someone who is. >> So Immuta is a data management platform for data science. And what that actually gives you is, we take the friction out of trying to access data, and trying to control data, and trying to comply with all of the different rules that surround the use of that data. >> John: Great, now do the one for normal people. >> That was the normal pitch. >> Okay! (laughing) I can't wait to hear the one for the insiders. >> And then for the insiders-- >> Just say, "It's magic". >> It's magic. >> We're magic, you know. >> Coming from the infrastructure role, I like to refer to it as a VMWare for data science. We create an abstraction layer than sits between the data and the data science tools, and we'll dynamically enforce policies based on the values of the organization. But also, it drives better outcomes. Because today, the data owners aren't confident that you're going to do with the data what you say you're going to do. So they try to hold it. Like the old server-huggers, the data-huggers. So we allowed them to unlock that and make it universally available. We allow the governance people to get off those memos, that have to be interpreted by IT and enforced, and actually allow them to write code and have it be enforced as the policy mandates. >> And the number one problem you solve is what? >> Accelerate with confidence. We allow the data scientists to go and build models faster by connecting to the data in a way that they're confident that when they deploy their model, that it's going to go into production, and it's going to stay into production for as long as possible. >> And what's the GDPR angle? You've got the legal brain over here, in policy. What's going on with GDPR? How are you guys going to be a solution for that? >> We have the most, I'd say, robust option of policy enforcement on data, I think, available. We make it incredibly easy to comply with GDPR. We actually put together a sample memo that says, "Here's what it looks like to comply with GDPR." It's written from a governance department, sent to the internal data science department. It's about a page and a half long. We actually make that very onerous process-- >> (mumbles) GDPR, you guys know the size of that market? In terms of spend that's going to be coming around the corner? I think it's like the Y2K problem that's actually real. >> Exactly, it feels the same way. And actually Andrew and his team have taken apart the regulation article by article and have actually built-in product features that satisfy that. It's an interesting and unique--- >> John: I think it's really impressive that you guys bring a legal and a policy mind into the product discussion. I think that's something that I think you guys are doing a little bit different than I see anyone out there. You're bringing legal and policy into the software fabric, which is unique, and I think it's going to be the standard in my opinion. Hopefully this is a good trend, hopefully you guys keep in touch. Thanks for coming on theCUBE, thanks for-- >> Thanks for having us. >> For making time to come over. This is theCUBE, breaking out the start-up action sharing the hot start-ups here, that really are a good position in the marketplace, as the generation of the infrastructure changes. It's a whole new ballgame. Global development platform, called the Internet. The new Internet. It's decentralized, we even get into Blockchain, we want to try that a little later, maybe another segment. It's theCUBE in New York City. More after this short break.

Published Date : Sep 29 2017

SUMMARY :

Brought to you by SiliconANGLE Media Great to see you again. Thanks for having us, and know some of the intelligence organizations. And the team, group of serial entrepreneurs And the easiest way-- managing the integrity of the data. as you guys know, to enter the market. The Amazons of the world have proven, meaning the software within the software kind of thing. And each one of those algorithms is going to do something I see the problem you solve: a lot of algorithms out there, So the opportunity that we saw, again, managing data is the ability for you to take internal logic, What's going on with you guys in this area? It's the lifeblood of an increasingly large It's like they don't know, and folks in IT have never really had to think This is why I wanted to bring you guys in. We're starting to enter a world where governments really, You're seeing it all over the front pages of the news, and elsewhere around the world. because I get all kinds of rushes of intoxication to fear. How do I make sure that the derived data And AI really is the future here. Algorithms are the only thing that are going to scale Exactly, that's the interesting thing. "Brought to you by, hey, Siri, do theCUBE interview." and the algorithm is you have n number of models. is going to be how you prepare and manage the data. And the usability of data, So it's really about longevity of the model. Where's the data going to be in healthcare? and the risk is so apparent. and you can't copy each other's answer. that surround the use of that data. I can't wait to hear the one for the insiders. We allow the governance people to get off those memos, We allow the data scientists to go and build models faster How are you guys going to be a solution for that? We have the most, I'd say, robust option In terms of spend that's going to be coming around the corner? Exactly, it feels the same way. and I think it's going to be the standard in my opinion. that really are a good position in the marketplace,

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Day Two Kickoff | Big Data NYC


 

(quite music) >> I'll open that while he does that. >> Co-Host: Good, perfect. >> Man: All right, rock and roll. >> This is Robin Matlock, the CMO of VMware, and you're watching theCUBE. >> This is John Siegel of VPA Product Marketing at Dell EMC. You're watching theCUBE. >> This is Matthew Morgan, I'm the chief marketing officer at Druva and you are watching theCUBE. >> Announcer: Live from midtown Manhattan, it's theCUBE. Covering BigData New York City 2017. Brought to you by SiliconANGLE Media and its ecosystem sponsors. (rippling music) >> Hello, everyone, welcome to a special CUBE live presentation here in New York City for theCUBE's coverage of BigData NYC. This is where all the action's happening in the big data world, machine learning, AI, the cloud, all kind of coming together. This is our fifth year doing BigData NYC. We've been covering the Hadoop ecosystem, Hadoop World, since 2010, it's our eighth year really at ground zero for the Hadoop, now the BigData, now the Data Market. We're doing this also in conjunction with Strata Data, which was Strata Hadoop. That's a separate event with O'Reilly Media, we are not part of that, we do our own event, our fifth year doing our own event, we bring in all the thought leaders. We bring all the influencers, meaning the entrepreneurs, the CEOs to get the real story about what's happening in the ecosystem. And of course, we do it with our analyst at Wikibon.com. I'm John Furrier with my cohost, Jim Kobielus, who's the chief analyst for our data piece. Lead analyst Jim, you know the data world's changed. We had commenting yesterday all up on YouTube.com/SiliconAngle. Day one was really set the table. And we kind of get the whiff of what's happening, we can kind of feel the trend, we got a finger on the pulse. Two things going on, two big notable stories is the world's continuing to expand around community and hybrid data and all these cool new data architectures, and the second kind of substory is the O'Reilly show has become basically a marketing. They're making millions of dollars over there. A lot of people were, last night, kind of not happy about that, and what's giving back to the community. So, again, the community theme is still resonating strong. You're starting to see that move into the corporate enterprise, which you're covering. What are you finding out, what did you hear last night, what are you hearing in the hallways? What is kind of the tea leaves that you're reading? What are some of the things you're seeing here? >> Well, all things hybrid. I mean, first of all it's building hybrid applications for hybrid cloud environments and there's various layers to that. So yesterday on theCUBE we had, for example, one layer is hybrid semantic virtualization labels are critically important for bridging workloads and microservices and data across public and private clouds. We had, from AtScale, we had Bruno Aziza and one of his customers discussing what they're doing. I'm hearing a fair amount of this venerable topic of semantic data virtualization become even more important now in the era of hybrid clouds. That's a fair amount of the scuttlebutt in the hallway and atrium talks that I participated in. Also yesterday from BMC we had Basil Faruqi talking about basically talking about automating data pipelines. There are data pipelines in hybrid environments. Very, very important for DevOps, productionizing these hybrid applications for these new multi-cloud environments. That's quite important. Hybrid data platforms of all sorts. Yesterday we had from ActIn Jeff Veis discussing their portfolio for on-prem, public cloud, putting the data in various places, and speeding up the queries and so forth. So hybrid data platforms are going increasingly streaming in real time. What I'm getting is that what I'm hearing is more and more of a layering of these hybrid environments is a critical concern for enterprises trying to put all this stuff together, and future-proof it so they can add on all the new stuff. That's coming along like cirrus clouds, without breaking interoperability, and without having to change code. Just plug and play in a massively multi-cloud environment. >> You know, and also I'm critical of a lot of things that are going on. 'Cause to your point, the reason why I'm kind of critical on the O'Reilly show and particularly the hype factor going on in some areas is two kinds of trends I'm seeing with respect to the owners of some of the companies. You have one camp that are kind of groping for solutions, and you'll see that with they're whitewashing new announcements, this is going on here. It's really kind of-- >> Jim: I think it's AI now, by the way. >> And they're AI-washing it, but you can, the tell sign is they're always kind of doing a magic trick of some type of new announcement, something's happening, you got to look underneath that, and say where is the deal for the customers? And you brought this up yesterday with Peter Burris, which is the business side of it is really the conversation now. It's not about the speeds and feeds and the cluster management, it's certainly important, and those solutions are maturing. That came up yesterday. The other thing that you brought up yesterday I thought was notable was the real emphasis on the data science side of it. And it's that it's still not easy or data science to do their job. And this is where you're seeing productivity conversations come up with data science. So, really the emphasis at the end of the day boils down to this. If you don't have any meat on the bone, you don't have a solution that rubber hits the road where you can come in and provide a tangible benefit to a company, an enterprise, then it's probably not going to work out. And we kind of had that tool conversation, you know, as people start to grow. And so as buyers out there, they got to look, and kind of squint through it saying where's the real deal? So that kind of brings up what's next? Who's winning, how do you as an analyst look at the playing field and say, that's good, that's got traction, that's winning, mm not too sure? What's your analysis, how do you tell the winners from the losers, and what's your take on this from the data science lens? >> Well, first of all you can tell the winners when they have an ample number of referenced customers who are doing interesting things. Interesting enough to get a jaded analyst to pay attention. Doing something that changes the fabric of work or life, whatever, clearly. Solution providers who can provide that are, they have all the hallmarks of a winner meaning they're making money, and they're likely to grow and so forth. But also the hallmarks of a winner are those, in many ways, who have a vision and catalyze an ecosystem around that vision of something that could be made, possibly be done before but not quite as efficiently. So you know, for example, now the way what we're seeing now in the whole AI space, deep learning, is, you know, AI means many things. The core right now, in terms of the buzzy stuff is deep learning for being able to process real time streams of video, images and so forth. And so, what we're seeing now is that the vendors who appear to be on the verge of being winners are those who use deep learning inside some new innovation that has enough, that appeals to a potential mass market. It's something you put on your, like an app or something you put on your smart phone, or it's something you buy at Walmart, install in your house. You know, the whole notion of clearly Alexa, and all that stuff. Anything that takes chatbot technology, really deep learning powers chatbots, and is able to drive a conversational UI into things that you wouldn't normally expect to talk to you and does it well in a way that people have to have that. Those are the vendors that I'm looking for, in terms of those are the ones that are going to make a ton of money selling to a mass market, and possibly, and very much once they go there, they're building out a revenue stream and a business model that they can conceivably take into other markets, especially business markets. You know, like Amazon, 20-something years ago when they got started in the consumer space as the exemplar of web retailing, who expected them 20 years later to be a powerhouse provider of business cloud services? You know, so we're looking for the Amazons of the world that can take something as silly as a conversational UI inside of a, driven by DL, inside of a consumer appliance and 20 years from now, maybe even sooner, become a business powerhouse. So that's what's new. >> Yeah, the thing that comes up that I want to get your thoughts on is that we've seen data integration become a continuing theme. The other thing about the community play here is you start to see customers align with syndicates or partnerships, and I think it's always been great to have customer traction, but, as you pointed out, as a benchmark. But now you're starting to see the partner equation, because this isn't open, decentralized, distributed internet these days. And it is looking like it's going to form differently than they way it was, than the web days and with mobile and connected devices it IoT and AI. A whole new infrastructure's developing, so you're starting to see people align with partnerships. So I think that's something that's signaling to me that the partnership is amping up. I think the people are partnering more. We've had Hortonworks on with IBM, people are partner, some people take a Switzerland approach where they partner with everyone. You had, WANdisco partners with all the cloud guys, I mean, they have unique ITP. So you have this model where you got to go out, do something, but you can't do it alone. Open source is a key part of this, so obviously that's part of the collaboration. This is a key thing. And then they're going to check off the boxes. Data integration, deep learning is a new way to kind of dig deeper. So the question I have for you is, the impact on developers, 'cause if you can connect the dots between open source, 90% of the software written will be already open source, 10% differentiated, and then the role of how people going to market with the enterprise of a partnership, you can almost connect the dots and saying it's kind of a community approach. So that leaves the question, what is the impact to developers? >> Well the impact to developers, first of all, is when you go to a community approach, and like some big players are going more community and partnership-oriented in hot new areas like if you look at some of the recent announcements in chatbots and those technologies, we have sort of a rapprochement between Microsoft and Facebook and so forth, or Microsoft and AWS. The impact for developers is that there's convergence among the companies that might have competed to the death in particular hot new areas, like you know, like I said, chatbot-enabled apps for mobile scenarios. And so it cuts short the platform wars fairly quickly, harmonizes around a common set of APIs for accessing a variety of competing offerings that really overlap functionally in many ways. For developers, it's simplification around a broader ecosystem where it's not so much competition on the underlying open source technologies, it's now competition to see who penetrates the mass market with actually valuable solutions that leverage one or more of those erstwhile competitors into some broader synthesis. You know, for example, the whole ramp up to the future of self-driving vehicles, and it's not clear who's going to dominate there. Will it be the vehicle manufacturers that are equipping their cars with all manner of computerized everything to do whatnot? Or will it be the up-and-comers? Will it be the computer companies like Apple and Microsoft and others who get real deep and invest fairly heavily in self-driving vehicle technology, and become themselves the new generation of automakers in the future? So, what we're getting is that going forward, developers want to see these big industry segments converge fairly rapidly around broader ecosystems, where it's not clear who will be the dominate player in 10 years. The developers don't really care, as long as there is consolidation around a common framework to which they can develop fairly soon. >> And open source is obviously a key role in this, and how is deep learning impacting some of the contributions that are being made, because we're starting to see the competitive advantage in collaboration on the community side is with the contributions from companies. For example, you mentioned TensorFlow multiple times yesterday from Google. I mean, that's a great contribution. If you're a young kind coming into the developer community, I mean, this is not normal. It wasn't like this before. People just weren't donating massive libraries of great stuff already pre-packaged, So all new dynamics emerging. Is that putting pressure on Amazon, is that putting pressure on AWS and others? >> It is. First of all, there is a fair amount of, I wouldn't call it first-mover advantage for TensorFlow, there've been a number of DL toolkits on the market, open source, for the last several years. But they achieved the deepest and broadest adoption most rapidly, and now they are a, TensorFlow is essentially a defacto standard in the way, that we just go back, betraying my age, 30, 40 years ago where you had two companies called SAS and SPSS that quickly established themselves as the go-to statistical modeling tools. And then they got a generation, our generation, of developers, or at least of data scientists, what became known as data scientists, to standardize around you're either going to go with SAS or SPSS if you're going to do data mining. Cut ahead to the 2010s now. The new generation of statistical modelers, it's all things DL and machine learning. And so SAS versus SPSS is ages ago, those companies are, those products still exist. But now, what are you going to get hooked on in school? What are you going to get hooked on in high school, for that matter, when you're just hobby-shopping DL? You'll probably get hooked on TensorFlow, 'cause they have the deepest and the broadest open source community where you learn this stuff. You learn the tools of the trade, you adopt that tool, and everybody else in your environment is using that tool, and you got to get up to speed. So the fact is, that broad adoption early on in a hot new area like DL, means tons. It means that essentially TensorFlow is the new Spark, where Spark, you know, once again, Spark just in the past five years came out real fast. And it's been eclipsed, as it were, on the stack of cool by TensorFlow. But it's a deepening stack of open source offerings. So the new generation of developers with data science workbenches, they just assume that there's Spark, and they're going to increasingly assume that there's TensorFlow in there. They're going to increasingly assume that there are the libraries and algorithms and models and so forth that are floating around in the open source space that they can use to bootstrap themselves fairly quickly. >> This is a real issue in the open source community which we talked, when we were in LA for the Open Source Summit, was exactly that. Is that, there are some projects that become fashionable, so for example, a cloud-native foundation, very relevant but also hot, really hot right now. A lot of people are jumping on board the cloud natives bandwagon, and rightfully so. A lot of work to be done there, and a lot of things to harvest from that growth. However, the boring blocking and tackling projects don't get all the fanfare but are still super relevant, so there's a real challenge of how do you nurture these awesome projects that we don't want to become like a nightclub where nobody goes anymore because it's not fashionable. Some of these open source projects are super important and have massive traction, but they're not as sexy, or flair-ish as some of that. >> Dl is not as sexy, or machine learning, for that matter, not as sexy as you would think if you're actually doing it, because the grunt work, John, as we know for any statistical modeling exercise, is data ingestion and preparation and so forth. That's 75% of the challenge for deep learning as well. But also for deep learning and machine learning, training the models that you build is where the rubber meets the road. You can't have a really strongly predictive DL model in terms of face recognition unless you train it against a fair amount of actual face data, whatever it is. And it takes a long time to train these models. That's what you hear constantly. I heard this constantly in the atrium talking-- >> Well that's a data challenge, is you need models that are adapting and you need real time, and I think-- >> Oh, here-- >> This points to the real new way of doing things, it's not yesterday's model. It's constantly evolving. >> Yeah, and that relates to something I read this morning or maybe it was last night, that Microsoft has made a huge investment in AI and deep learning machinery. They're doing amazing things. And one of the strategic advantages they have as a large, established solution provider with a search engine, Bing, is that from what I've been, this is something I read, I haven't talked to Microsoft in the last few hours to confirm this, that Bing is a source of training data that they're using for machine learning and I guess deep learning modeling for their own solutions or within their ecosystem. That actually makes a lot of sense. I mean, Google uses YouTube videos heavily in its deep learning for training data. So there's the whole issue of if you're a pipsqueak developer, some, you know, I'm sorry, this sounds patronizing. Some pimply-faced kid in high school who wants to get real deep on TensorFlow and start building and tuning these awesome kickass models to do face recognition, or whatever it might be. Where are you going to get your training data from? Well, there's plenty of open source database, or training databases out there you can use, but it's what everybody's using. So, there's sourcing the training data, there's labeling the training data, that's human-intensive, you need human beings to label it. There was a funny recent episode, or maybe it was a last-season episode of Silicone Valley that was all about machine learning and building and training models. It was the hot dog, not hot dog episode, it was so funny. They bamboozle a class on the show, fictionally. They bamboozle a class of college students to provide training data and to label the training data for this AI algorithm, it was hilarious. But where are you going to get the data? Where are you going to label it? >> Lot more work to do, that's basically what you're getting at. >> Jim: It's DevOps, you know, but it's grunt work. >> Well, we're going to kick off day two here. This is the SiliconeANGLE Media theCUBE, our fifth year doing our own event separate from O'Reilly media but in conjunction with their event in New York City. It's gotten much bigger here in New York City. We call it BigData NYC, that's the hashtag. Follow us on Twitter, I'm John Furrier, Jim Kobielus, we're here all day, we've got Peter Burris joining us later, head of research for Wikibon, and we've got great guests coming up, stay with us, be back with more after this short break. (rippling music)

Published Date : Sep 27 2017

SUMMARY :

This is Robin Matlock, the CMO of VMware, This is John Siegel of VPA Product Marketing This is Matthew Morgan, I'm the chief marketing officer Brought to you by SiliconANGLE Media What is kind of the tea leaves that you're reading? That's a fair amount of the scuttlebutt I'm kind of critical on the O'Reilly show is really the conversation now. Doing something that changes the fabric So the question I have for you is, the impact on developers, among the companies that might have competed to the death and how is deep learning impacting some of the contributions You learn the tools of the trade, you adopt that tool, and a lot of things to harvest from that growth. That's 75% of the challenge for deep learning as well. This points to the in the last few hours to confirm this, that's basically what you're getting at. This is the SiliconeANGLE Media theCUBE,

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