from around the globe it's the cube with digital coverage of Red Hat summit 2020 brought to you by Red Hat welcome back this is the cubes coverage of Red Hat summit 2020 of course the event happening digitally we're bringing in the guests from where they are around the globe happy to welcome back to the program and he's one of the keynotes because he's also many times cube alumni chris wright is the senior vice president and chief technology officer at Red Hat chris it is great to see you and we've got almost matching hats you have a real red hat fedora I've got one that the you know kubernetes Red Hat team OpenShift team gives out in Europe so in case anybody in the Red Hat community goes yes I've been a longtime member of the community I got you know I think my original Red Hat baseball cap probably 15 years ago but the Hat that I had is not one of the nice felt one it is they're pretty good to see here all right so we've gotta wait a little bit to get your keynote but so many topics I want to get to with you but you know of course as I mentioned me open and it's pretty obvious everyone's remote right now is kind of you know special times we are living in so bring us inside a little bit you know your your organization your group or community you know what what this means and how's everybody doing well I mean it'd be hard not to sort of acknowledge that there's a major global event happening right now and and kovetz really changing how we operate how we work from a RedHat perspective our number one priority is just employee safety and employ health and so we we were quick to send our folks home and have everybody to work from home and so what's interesting from a RedHat point of view I think and then even if you broaden that out to open-source communities the the distributed nature of open-source development and and specifically the engineering teams Red Hatter are pretty distributed kind of mirroring those open-source communities that we participate in so in the one hand you can kind of say well things haven't changed substantially in the sense of how do we how do we operate in upstream communities but on the other hand people working from home is it's a whole new set of challenges I mean my kids are 12 and 14 but you know say you have toddlers that's a real distraction or you have a working environment at home that's crowded with multiple people I mean it can really change how you approach your daily your your your daily work life um so creating that balance has been really important and for our teams we talk a lot about just think empathy think about how you're supporting one another and again when you broaden that out to the larger communities I think probably a really important aspect of open-source development is crossing corporate boundaries and being inclusive of such a broad set of contributors that there's a built-in resiliency associated with open source communities which i think is fantastic and then when you add to that sort of the the enthusiasm around just doing great things there's a lot of interesting activities that are collaborative in nature that are community based that are trying to address the Kovach crisis whether it's 3d printing of supplies or whether it's contact tracing applications that help people understand where they become across kovat or anything like that I mean a lot of cool stuff happening that's inspired by a real challenge to the entire globe yeah okay Chris one of my favorite things the last few years that summit has you know talk and he's cut talking to companies that are going through their journey of you know what we usually call digital transformation what we have always said from the research side is what separates you know people that have successfully gone through this is that data and they become data-driven and data is such an important piece of what they're doing well I think everyone has been getting a real crash course on data because not only businesses but you know governments and you know the entire globe now is you know watching the daily data trying to understand data sources you know bring us inside is to you know really the importance of data and you know where that intersects with everything that red hat is well the those are great examples I mean it's sometimes a little depressing but the the notion that data is a critical part of decision-making and access to quality data in real time is what helps us make better decisions more effective decisions and more efficient decisions and so when you when you look at the amount of data being produced it just keeps growing you know it's sort of on the exponential growth curve and when you look at the commensurate amount of compute power associated with all of that data it's also growing which is maybe an obvious statement what it says is we are gathering more and more data and the degree to which we can pull meaningful insights out of that data is really how much we can impact our companies you know value and differentiation and in the context of something like Cova that means vaccine discoveries and you know shortening times to field trials in in a more business context it's talking about how quickly you can respond to your customers needs and we see a really dynamic shift and the work force all working from home that puts a real strain on the infrastructure we're here supporting infrastructure builders and the amount of data that they can collect to efficiently operate infrastructure is critical at a time when people are distributed and getting access into the lab environments is challenging and so it you know I think there's a lot to be said for the amount of data that's being produced and then how we analyze it we think of it in terms of bringing data to applications and historically they kind of lived in separate I'd call them silos bringing the data sources and data processing and model development all onto a common platform is a really powerful thing that's happening in the industry today which is which is exciting so you know we were bringing data to be a central actors how I like to describe it yeah well look I'm really glad how you connected that discussion of data to the applications we as you know my background really is on the infrastructure side and the concern I have a lot of times as infrastructure people you know we talk about the bits and bytes we talk about the infrastructure but the only reason we have infrastructure is to run those applications and you know deal with that data it was hoping you can connect the dots for us the key note that all gave one of the main things he's talking about it where's the open hybrid cloud and I had a great discussion with him on the cube so with that setup of applications and data you know how does that intersect you know with what Red Hat calls the open hybrid cloud and what differentiates Red Hat's position there from some of the other discussions that we hear in the industry about cloud whether the open hybrid cloud is is a platform I think that's the best way to think of it and that platform it's a it's a platform that spans different types of infrastructures so that's public clouds that's on-premises data centers you know the enterprise zones themselves and I think important increasingly out to the edge so the notion of where you deploy isn't also coupled to what platform do I have to develop to in order to do that deployment and you know when we talk about the edge extending out to the edge that means you're getting closer to those data sources so bringing the data in doing the Associated inference and making decisions close to that data where latency really can matter is a big part of what that open hybrid cloud platform brings to to the market or to our customers and when you think about an application developer typically an application developer is trying to in a you know enable some some behavior or feature or functionality and the more we can drive use data to drive the behavior or drive the functionality the more personalized and application is the more intelligent the application is and so the connection between data the data sources the data processing the data science behind data cleansing and model generation and the associated models that can be easily accessed by applications that's the real power that's the real value that works to help develop for our customers so they can change their business we actually do this internally it's how we operate you know we collect data we use data to make decisions we use data in our product release process and the platform that we've created is a data processing and analytics and machine learning platform that we use internally and we also make that externally available as an open source project the open data hub so open and data and hybrid cloud are all intertwined at this point yeah one of the things that really has been highlighted to me at Summit this year is that connection you know we always knew Red Hat had you know strong developer community out there but you know you think back to Linux Linux has eyes directly into the application you look across the portfolio and it's not the app dev team over here and the infrastructure team over here and you know how do we operate all of these various pieces you know ansible you know has connections into all the various roles so what want you to just comment you know with kind of your you know CTO role and you you look over the entire portfolio but that discussion of you know how roles are changing how organization and make sure that they're not a bunch of various functions that aren't in sync but you know we're really coming together to help respond to the business needs and move forward in the speed that is needed in today's world well I think the the early stages of that were well captured with the DevOps phrase so bringing developers and operations closer together it's not always clear what that means and in some cases that the the notion of a of a platform and the notion of operating an application and then who operates the platform I think there there's been some question in the industry about exactly what that means we're thinking of it today to sort of stick with the buzzwords in the dev sac ops context and even what I would call AI dead set cops so in data and intelligence infused obses cops and the idea is developers are just trying to move rapidly so the degree to which the underlying infrastructure is just there to support application development is the operations teams need yeah that's what the operation seems trying to provide developers need at the same time access to tooling to consistency from test environments through to production environments and also access to those data models that I was talking about earlier so bringing that all together I think on the DevOps side or the dev Sackhoff side it's how can you build a platform that gives the right business specific guidelines and sort of guardrails that allow developers to move as quickly as possible without getting themselves into trouble and you know inadvertently creating a security vulnerability by pulling in an old dependency as a concrete example so bringing these things together I think is what's really important and it's a big part of what we're focused on the so operational side being infused with intelligence that's data in telemetry you're gathering from at the platform level and using models to inform how you operate the system and then if you go up a level to the application development sort of CIC deep pipeline where can you make intelligent recommendations to developers as they're pulling in dependencies or even writing code and then give easy access to the data science workflow to intercept so that what you're delivering is a well integrated model with an application that you know has a lifecycle and a maintenance that is well understood yeah so so Chris you know we've watched this is the seventh year we've had the cubit at Red Hat summit of course Red Hat itself has a large portfolio but not only Red Hat but you know the open source communities there are so many you know countless projects out there and you have a huge partner ecosystem you were just talking a bunch about DevOps you know I've got sitting at my desk you know one of those charts that shows you know DevOps tooling and it here's some of the platforms and here's all the various pieces and it's like you know I think there's only you know 50 or 80 different rules on that but how's Red Hat and the community overall how are you helping customers you know deal with this you know challeng world is you know we've got the paradox in place out there on it you know we understand that you know everybody's needs something a little bit different but how are we helping to give a little bit of structure and guidance in the the ever-changing world well I think it's one of the values of pulling content together if you think of a set of components being brought together as curation then we're helping curate the content and assembling pieces together it turns out is a is a lot of work especially when you want a lifecycle manage those components together so one basic thing that we're doing is bringing together an entire distribution of content so it's not just a single it's not just Linux it's not just kubernetes it's Linux and kubernetes engineered together with a set of supporting tooling for logging and monitoring and CI pipelines and all of that we bring together in a context that we opinionated or prescriptive what we also focus on is understanding that every Enterprise has a as its own legacy and history and set of investments that they've made so that process where we bring together an opinionated stack also needs to incorporate the flexibility so where can we plug in a CI pipeline that your your enterprise already has or where can we plug in your monitoring logging tools so that kind of flexibility allows us to bring together some best-of-breed components that we're finding in the open-source communities with flexibility to bring a whole set of ecosystem partners and if we go back to that open data have conversation there are a lot of data centric tools that we put in the open data have open source project we have commercial partners that can support things like say spark as a concrete example or tensorflow and so you know combine those those are open source projects but they're not coming from Red Hat they're coming from our ecosystem partners combine that all together into something that's engineered to work together and you're taking a lot of the friction out of the system so that developers can just move quickly all right so Chris give us a little bit of preview what what are people gonna see in the keynote and you know there's some people that are going to be watching this interview live but others will be efforts though I believe edge is one of the pieces we'll be touching on in the keynote but give us a little bit of what will we can expect well whatever you'll have to come to the keynote to really get the full full experience but what we're trying to to talk through is how data is really fundamentally changing business and if and we talk through that that's sort of story line starting with how it impacts red hats but you know at one level we're an enterprise we have our own business needs we use data to drive how we operate we also see that the platforms that we're building are really helpful for our customers to harness the value of data and change their own business and in the context of doing that we get to take a look at some ways where those business changes have industry-wide effects you know that we talk about things like 5g and artificial intelligence and where these things come together especially in edge computing really interesting space for these things all kind of converge and you know so kind of that that broad broad story line of data something that we use to change how we operate something that we build is from a platform point of view of our customers change how they operate and ultimately those changes have major impacts across the industry which is was which is pretty exciting pretty cool yeah I'm curious Chris you know I think back a few years ago I would have been interviewing you about like NFB and many of the themes it feels like we were talking about there we're really setting the table for the discussion we've been having for 5b is is that you know do you agree with that you know what would what's kind of the same and different from what we might have been looking at five years ago this it's very much and I love that question because it touches on something I think is really important it's very much an evolution and so in the tech world we talked so much about disruption and I think we overplay disruption I think what's interesting is technology evolution just consistently changing and moving forward gives rise at points in time to really interesting convergence of change that can be disruptive so as a concrete example NFV historically was about really improving the operational efficiencies of the service providers building networks and helping them move more rapidly so they could introduce new services most of that was focused on 4G most of that was focused on the core of the network today we're introducing 5g across the industry the discussions are moving technology wise into where do containers fit into this new world and the discussion at the network level is not only in the core but all the way out to the edge and then when you look at the edge where you have a portion of the network operating as software you have a platform like open ship that can also host enterprise or consumer facing education so this is really all of those early stages of NFV are culminating in this in a place today where the technology supports total software infrastructure for the network and utilizing that same cloud that you're running using to run the network to power enterprise or consumer facing applications that's pretty far away from where we were in the early days of NFB very much in evolution and then if you take it one step further and say orgy smart devices and cloud computing gave rise to a set of disruptive businesses ten years ago those businesses did not exist today we can't imagine life without them 5g device proliferations and not just smartphones but a whole set of new devices and edge computing are the ingredients that give rise to that same next wave of innovation where 10 years from now we can't really imagine what are the businesses that in 10 years we won't be able to imagine our lives without so we're at a really interesting inflection point and it's it's partially through this evolution of technology I think it's really exciting all right Chris last question for you there's always so many different pieces going on you know red hats really striking a nice balance there's not really as much of the habla and announcements but you know so much you know everything that does is built on open source so you know there's always things I run across it's like oh I need to you know look down the rabbit hole a little bit and what was that Farkas thing I think I'd heard that word before where all of the projects at the CN CF where you know Red Hat's involved in so you know in the last minute he or give us you know any areas where people said hey you know go google this go look up this you know project other cool things that you know you and your team are working on that you want to make sure to highlight well you you've mentioned one which is Korkis and not often time we talk about infrastructure I think it's a really cool project that is developer focus it's it's in the Java space and it's really bringing Java from an enterprise development platform into a modern language that can be used to build cloud native applications or even serverless functions I think serverless is a critical space so we've been talking for quite some time about all the ways serverless can be impactful we're in a place now where K native as a project is maturing and the the kind of world around it is getting more sophisticated so we have a serverless offer and as part of part of the open shift platform so you know making sure you're paying attention to what's happening in the K native space I think is is really important there's a whole new set of management challenges that will be in the security and a multi cluster space we're bringing those we're bringing technology to bear in this space and as RedHat we will bring those out as open source projects so looking for the open source communities around where you hear things like ECM or advanced container management or multi cluster managed environments which are the norm at this point you know those are some examples of things I think are important and then there's a world of stuff that's data focused there's all of the data science tools you know too many to really enumerate but that I think is an example where open-source is leading the space leading the industry in terms of where all where all those tools are developed and how the coverage and access developers have to data science tools all right well thank you so much Chris right always a pleasure to catch up with you and definitely looking forward to your your you know alright thank you all right lots more coverage check out the cube dotnet you can see all the interviews after they've gone out live they will be on demand all those projects Chris mentioned I've had deep dives on all of them so also hit up Chris square myself on Twitter if you have any follow up always love to hear the feedback I'm Stu minimun and as always thank you for watching the cube [Music]

>> Announcer: From around the globe, it's theCUBE with digital coverage of Red Hat Summit 2020. brought to you by Red Hat. >> Welcome back. This is theCUBE's coverage of Red Hat Summit 2020. Of course this year instead of all gathering together in San Francisco, we're getting to talk to Red Hat executives, their partners and their customers where they are around the globe. I'm your host Stuart Miniman and happy to welcome to the program Nick Barcet, who is the Senior Director of Technology Strategy at Red Hat. He happens to be on a boat in the Bahamas. So Nick, thanks so much for joining us. >> Hey thank you for inviting me. It's a great pleasure to be here and it's a great pleasure to work for a company that has always dealt with remote people. So it's really easy for us to, kind of thing. >> Yeah Nick. You know it's interesting, I've been saying probably for the last 10 years that the challenge of our time is really distributed systems. You know from a software standpoint that's what we talk about and even more so today number one of course the current situation with the global pandemic but number two the topic we're going to talk to you about is edge and 5G. It's obviously gotten a lot of hype. So before we get into that my understanding Nick, you know you came into Red Hat through an acquisition. So give us a little bit about your background and what you work on for Red Hat. >> About five years ago company I was working for eNovance got acquired by Red Hat and I've been very lucky in that acquisition where I found a perfect home to express my talent. I've been free software advocate for the past 20 some years. Always been working in free software for the past 20 years and Red Hat is really wonderful for that. >> Yeah it's addressing me okay yeah. I remember back the early days we used to talk about free software. Now we don't talk free, open-source is what we talk about you know. Bream is a piece of what we're doing but let's talk about you know, You know, eNovanceI absolutely remember they were partner of Red Hat. I talked to them and a lot at some of the OpenStack shows. So I'm guessing when we're talking about edge, these are kind of the pieces coming together of what Red had done for years with OpenStack and with NFB. So what, what's the solution set you're talking about? Bring us inside, how you're helping your customers with these types of split. >> Well clearly the solution we are trying to put together as to combine what people already have with where they want to go. Our vision for the future is a vision where OpenShift is delivering a common service on any platform including hardware at the far edge on a model where both v-ends and containers can be hosted on the same machine. However there is a long road to get there and until we can fulfill all the needs, we are going to be using combination of OpenShift, OpenStack and many other product that we have in our portfolio to fulfill the needs of our customer. We've seen for example Verizon starting with OpenStack quite a few years ago now going with us with OpenShift that they're going to place on up of OpenStack or directly on bare metal. We've seen other big telcos use that in very successful to deploy their 5G networks. There is great capabilities in the existing portfolio. We are just expanding that simplifying it because when we are talking about the edge, we are talking about managing thousands if not millions of device and simplicity is key if you do not want to have your management parts in Crete. >> Excellent. So you talked a lot about the service providers. Obviously 5G as a big wave coming a lot of promise as what it will enable both for the service providers as well as the end-users. Help us understand where that is today and what we should expect to see in the coming years though. >> So in respect of 5G, there is two reason why 5G is important. One it is-- It is important in terms of edge strategy because any person deploying 5G will need to deploy computer resources much closer to the antenna if they want to be able to deliver the promise of 5G and the promise of very low latency. The second reason it is important is because it allows to build a network of things which do not need to be interconnected other than through a 5G connection. And this simplifies a lot some of the edge application that we are going to see where sensors need to provide data in a way where you're not necessarily always connected to a physical network and maintaining a WiFi connection is really complex and costly. >> Yeah Nick a lot of pieces that sometimes get confused or conflated, I want you to help us connect the dots between what you're talking about for edge and what's happening in the telcos and the the broader conversation about hybrid cloud or Red Hat calls at the open hybrid cloud because you know there were some articles that were like you know edge is going to kill the cloud. I think we all know an IP nothing ever dies, everything is all additive. So how do these pieces all go together? >> So for us at Red Hat, it's very important to build edge as an extension of our open hybrid cloud strategy. Clearly what we are trying to build is an environment where developers can develop workloads once and then can the administrator that needs to deploy a workload or the business mode that needs to deploy a workload can do it on any footprint. And the edge is just one of these footprint as is the cloud as is a private environment. So really having a single way to administer all these footprints, having a single way to define the workloads running on it, is really what we are achieving today and making better and better in the years to come. The reality of... to process the data as close as possible to where the data is being consumed or generated. So you have new footprints to let's say summarize or simplify or analyze the data where it is being used. And then you can limit the traffic to a more central site to only the essential of it. It is clear that with the current growth of data, there won't be enough capacity to have all the data going directly to the central path. And this is what the edge is about, making sure we have intermediary of points of processing. >> Yeah absolutely. So Nick you talked about OpenStack and OpenShift. Of course there's open source project with with OpenStack. OpenShift the big piece of that is is Kubernetes. When it comes to edge are there other open source project, the parts of the foundations out there that we should highlight when looking at these edge loop? >> Oh, there is a tremendous amount of projects that are pertaining to the edge. Red Hat carries many of these projects in its portfolio. The middleware components for example Quercus or AMQ mechanism, Carlcare are very important components. We've got storage solutions that are super important also when you're talking about storing or handling data. You've got in our management portfolio two very key tool one called Ansible that allows to configure remotely confidence that is super handy when you need to reconfigure firewall in mass. You've got another tool that is the central piece of our strategy which is called ACM, Red Hat's I forgot the name of the product now. We are using the acronym all the time which is our central management mechanism just delivered to us through IBM. So this is a portfolio wide we are making and I forgot the important one which is Red Hat Enterprise Linux which is delivering very soon a new version that is going to enable easier management at yet. >> Yeah. Well of course we know that realers you know the core foundational piece fit with most of the solution in a portfolio. That it's really interesting how you laid that out though. As you know some people on the outside look and say, " Okay, Red Hat's got a really big portfolio. How does it all fit together?" You just discussed that all of these pieces become really important when they come together for the edge. So maybe you know, one of the things when we get together summit of course, we get to hear a lot from your customers. So any customers you can talk about, that might be a good proof point for these solutions that you're talking about today? >> So right now most of the proof points are in the telco industry because these are the first one that have made the investment in depth. And when we are talking about various and we are talking about very large investment that is reinforced in their strategy. We've got customers in telco all over the world that are starting to use our products to deploy their 5G networks and we've got lots of customer starting to work with us on creating their strategy for in other vertical particularly in the industrial and manufacturing sector which is our next endeavour after telco yet. >> Yeah well absolutely. Verizon a customer, I'm well familiar with when it comes to what they've been used with Red Hat. I'd interviewed them, it opens back few years back when they talked about that those nav-pipe solutions. You brought a manufacturing so that brings up one of the concerns when you talk about edge or specifically about IOT environment. When we did some original research looking at the industrial internet, the boundaries between the IT group and the OT which heavily lives in manufacturing wouldn't, they don't necessarily talk or work together. So how's Red Hat helping to make sure that customers you know, go through these transitions, pass through those silos and can take advantage of these sorts of new technologies? >> Well obviously you have to look at a problem in the entirety. You've got to look at the change management aspect and for this, you need to understand how people interact together if you intend on modifying the way they work together. You also need to ensure that the requirements of one are not impeding the other on demand, on environment of a manufacturer. Is really important especially when we are talking about dealing with IOT sensors which have very limited security capability. So you need to add in the appropriate security layers to make what is not secure, secure and if you don't do that you're going to introduce a friction. And you also need to ensure that you can delegate administration of the component to the right people. You cannot say, Oh from now on all of what you used to be controlling on a manufacturing floor is now controlled centrally and you have to go through this form in order to have anything modified. So having the flexibility in our tooling to enable respect of the existing organization and handle a change management the appropriate way. These are way to answer this... >> Right Nick, last thing for you. Obviously this is a maturing space, lots of change happening. So give us a little bit of a look forward as to what users should be expecting and you know what pieces will be the industry and Red Hat be working on that bring full value out of the edge and 5G solution? >> So as always, any such changes are driven by the applications. And what we are seeing is in terms of application, a very large predominance of requirements for AI, ML and data processing capability. So reinforcing all the components around this environment is one of our key addition and that we are making as we speak. You can see Chris keynote which is going to demonstrate how we are enabling a manufacturer to process the signal sent from multiple sensors through an AI and during early failure detection. You can also expect us to enable more and more complex use case in terms of footprint. Right now, we can do very small data center that are residing on three machine. Tomorrow we'll be able to handle remote worker nodes that are on a single machine. Further along we'll be able to deal with disconnected node. A single machine acting as a cluster. All these are elements that are going to allow us to go further and further in the complication of the use cases. It's not the same thing when you have to connect a manufacturer that is on solid grounds with fiber access or when you have to connect the knowledge for example or a vote and talk about that to. >> Well, Nick thank you so much for all the updates. I know there's some really good breakouts. I'm sure there's lots on the Red Hat website to find out more about edge in five B's. Nick Barcet thanks so much for joining us. >> Thank you very much for having me. >> All right. Back with lots more covered from Red Hat Summit 2020. I'm Stuart Miniman and thanks for watching theCUBE. (bright upbeat music)

from around the globe it's the cube with digital coverage of Red Hat summit 2020 brought to you by Red Hat welcome back this is the cubes coverage of Red Hat summit 2020 of course this year instead of all gathering together in San Francisco we're getting to talk to red hat executives their partners and their customers where they are around the globe I'm your host Stu minimun and happy to welcome to the program Nick Barr said who is the senior director of Technology Strategy at Red Hat he happens to be on a boat in the Bahamas so Nick thanks so much for joining us hey thank you for inviting me it's a great pleasure to be here and it's a great pleasure to work for a company that has always dealt with remote people so it's really easy for us to kind of thing yeah Nick you know it's interesting I've been saying probably for the last 10 years that the challenge of our time is really distributed systems you know from a software standpoint that's what we talked about and even more so today and number one of course the current situation with the global plan global pandemic but number two the topic we're gonna talk to you about is edge and 5g it's obviously gotten a lot of hype so before we get into that - training Nick you know you came into Red Hat through an acquisition so give us a little bit about your background and what you work on Baretta about five years ago company I was working for involves got acquired by read at and I've been very lucky in that acquisition where I found a perfect home to express my talent I've been free software advocate for the past 20-some years always been working in free software for the past 20 years and Red Hat is really wonderful for that yeah it's addressing me ok yeah I remember back the early days we used to talk about free software now we don't talk free open-source is what we talk about you know dream is a piece of what we're doing but yeah let's talk about you know Ino Vaughn's I absolutely remember the they were a partner of Red Hat talked to them a lot at some of the OpenStack goes so I I'm guessing when we're talking about edge these are kind of the pieces coming together of what red had done for years with OpenStack and with NFB so what what what's the solution set you're talking about Ferguson side how you're helping your customers with these blue well clearly the solution we are trying to put together as to combine what people already have with where they want to go our vision for the future is a vision where openshift is delivering a common service on any platform including hardware at the far edge on a model where both viens and containers can be hosted on the same machine however there is a long road to get there and until we can fulfill all the needs we are going to be using combination of openshift OpenStack and many other product that we have in our portfolio to fulfill the needs of our customer we've seen for example a Verizon starting with OpenStack quite a few years ago now going with us with openshift that they're going to place on up of OpenStack or directly on bare metal we've seen other big telcos use tag in very successful to deploy their party networks there is great capabilities in the existing portfolio we are just expanding that simplifying it because when we are talking about the edge we are talking about managing thousands if not millions of device and simplicity is key if you do not want to have your management box in Crete excellent so you talked a lot about the service providers obviously 5g as a big wave coming a lot of promise as what it will enable both for the service providers as well as the end-users help us understand where that is today and what we should expect to see in the coming years though so in respect of 5g there is two reason why 5g is important one it is B it is important in terms of ad strategy because any person deploying 5g will need to deploy computer resources much closer to the antenna if they want to be able to deliver the promise of 5g and the promise of very low latency the second reason it is important is because it allows to build a network of things which do not need to be interconnected other than through a 5g connection and this simplifies a lot some of the edge application that we are going to see where sensors needs to provide data in a way where you're not necessarily always connected to a physical network and maintaining a Wi-Fi connection is really complex and costly yeah Nick a lot of pieces that sometimes get confused or conflated I want you to help us connect the dots between what you're talking about for edge and what's happening the telcos and the the broader conversation about hybrid cloud or red hat calls at the O the open hybrid cloud because you know there were some articles that were like you know edge is going to kill the cloud I think we all know an IP nothing ever dies everything is all additive so how do these pieces all go together so for us at reddit it's very important to build edge as an extension of our open hybrid cloud strategy clearly what we are trying to build is an environment where developers can develop workloads once and then can the administrator that needs to deploy a workload or the business mode that means to deploy a workload can do it on any footprint and the edge is just one of these footprint as is the cloud as is a private environment so really having a single way to administer all these footprints having a single way to define the workloads running on it is really what we are achieving today and making better and better in the years to come um the the reality of [Music] who process the data as close as possible to where the data is being consumed or generated so you have new footprints - let's say summarize or simplify or analyze the data where it is being used and then you can limit the traffic to a more central site to only the essential of it is clear that we've the current growth of data there won't be enough capacity to have all the data going directly to the central part and this is what the edge is about making sure we have intermediary of points of processing yeah absolutely so Nikki you talked about OpenStack and OpenShift of course there's open source project with with OpenStack openshift the big piece of that is is kubernetes when it comes to edge are there other open source project the parts of the foundations out there that we should highlight when looking at these that's Luke oh there is a tremendous amount of projects that are pertaining to the edge read ad carry's many of these projects in its portfolio the middleware components for example Quercus or our amq mechanism caki are very important components we've got storage solutions that are super important also when you're talking about storing or handling data you've got in our management portfolio two very key tool one called ansible that allows to configure remotely confidence that that is super handy when you need to reconfigure firewall in Mass you've got another tool that he's a central piece of our strategy which is called a CM read at forgot the name of the product now we are using the acronym all the time which is our central management mechanism just delivered to us through IBM so this is a portfolio wide we are making and I forgot the important one which is real that Enterprise Linux which is delivering very soon a new version that is going to enable easier management at the edge yeah well of course we know that well is you know the core foundational piece with most of the solution in a portfolio that's really interesting how you laid that out though as you know some people on the outside look and say ok Red Hat's got a really big portfolio how does it all fit together you just discussed that all of these pieces become really important when when they come together for the edge so maybe uh you know one of the things when we get together summit of course we get to hear a lot from your your your customer so any customers you can talk about that might be a good proof point for these solutions that you're talking about today so right now most of the proof points are in the telco industry because these are the first one that have made the investment in it and when we are talking about their eyes and we are talking about a very large investment that is reinforced in their strategy we've got customers in telco all over the world that are starting to use our products to deploy their 5g networks and we've got lots of customer starting to work with us on creating their tragedy for in other vertical particularly in the industrial and manufacturing sector which is our necks and ever after telco yet yeah well absolutely Verizon a customer I'm well familiar with when it comes to what they've been used with Red Hat I'd interviewed them it opens back few years back when they talked about that those nmv type solutions you brought a manufacturing so that brings up one of the concerns when you talk about edge or specifically about IOT environment when we did some original research looking at the industrial Internet the boundaries between the IT group and the OT which heavily lives lives in manufacturing wouldn't they did they don't necessarily talk or work together so Houser had had to help to make sure that customers you know go through these transitions Plus through those silos and can take advantage of these sorts of new technologies well obviously you you have to look at a problem in entirety you've got to look at the change management aspect and for this you need to understand how people interact together if you intend on modifying the way they work together you also need to ensure that the requirements of one are not impeding the yeah other the man an environment of a manufacturer is really important especially when we are talking about dealing with IOT sensors which have very limited security capability so you need to add in the appropriate security layers to make what is not secure secure and if you don't do that you're going to introduce a friction and you also need to ensure that you can delegate administration of the component to the right people you cannot say Oh from now on all of what you used to be controlling on a manufacturing floor is now controlled centrally and you have to go through this form in order to have anything modified so having the flexibility in our tooling to enable respect of the existing organization and handle a change management the appropriate way is our way to answer this problem right Nick last thing for you obviously this is a maturing space lots of age happening so gives a little bit of a look forward as to what users should be affecting and you know what what what pieces will the industry and RedHat be working on that bring full value out of the edge and find a solution so as always any such changes are driven by the application and what we are seeing is in terms of application a very large predominance of requirements for AI ml and data processing capability so reinforcing all the components around this environment is one of our key addition and that we are making as we speak you can see Chris keynote which is going to demonstrate how we are enabling a manufacturer to process the signal sent from multiple sensors through an AI and during early failure detection you can also expect us to enable more and more complex use case in terms of footprint right now we can do very small data center that are residing on three machine tomorrow we'll be able to handle remote worker nodes that are on a single machine further along we'll be able to deal with disconnected node a single machine acting as a cluster all these are elements that are going to allow us to go further and further in the complication of the use cases it's not the same thing when you have to connect a manufacturer that is on solid grounds with fiber access or when you have to connect the Norway for example or a vote and talk about that too Nick thank you so much for all the updates no there's some really good breakouts I'm sure there's lots on the Red Hat website find out more about edge in five B's the Nick bark set thanks so much for joining us thank you very much for having me all right back with lots more covered from Red Hat summit 2020 I'm stoom in a man and thanks though we for watching the queue [Music]

>> Announcer: Live, from Boston, Massachusetts. It's theCUBE! Covering Red Hat Summit 2017! Brought to you by Red Hat! (electronic music) >> Welcome back to theCUBE's coverage of the Red Hat Summit, I'm Rebecca Knight, your host, I'm here with Stu Miniman, our guest today is Jason Hoffman. He is the vice president and global head of cloud infrastructure at Ericsson. Thanks so much for joining us here. >> Thanks so much for having me. >> Thank you. So, I want to start out by talking about the cloud market today, and where we are. We've heard here at the summit that the number one thing on customers' minds is cloud strategy. Is that, does that resonate with you? And what are you hearing from customers? >> Cloud's an interesting topic. Because it's both an infrastructure approach, sometimes people use it for a delivery model, sometimes people use it to describe a business model, sometimes people use it to describe a number of things. For me, for most companies, cloud's not strategic. Cloud's tactical. Cloud may be strategic to Amazon, cloud may be strategic to Microsoft, we've yet to see whether it's truly strategic for Google, and that, but for most people it's tactical. And I think it's a fine distinction to make, because tactical means there's stuff to do, and if you look at the thing to do, it's pretty clear that that approach to infrastructure is on highly accessible, industrialized infrastructure. And I anchor that in infrastructure because in the absence of that type of infrastructure then your delivery models and business models and stuff don't apply, basically. >> Jason, you bring up an interesting point, we heard in the first day keynote, they said, "One of the top priorities for end users is, "to build a cloud strategy." Because when I talk to most users, they've been very tactical, it's like, well, we moved our scene around, to SaaS. Everybody did. I'm starting to move certain business apps to SaaS. I've, everybody tried Dev, you know, on Amazon, and played with a number of other clouds, but you look at that, I had a guy who wrote for me, he was like, "We don't have hybrid cloud. "We have composite cloud." Because I've got all those things there, it's like, "How do I shop?" It's like, well, I stop at a convenience store where I need, I go to the store, and I get lots of stuff from Amazon. Sounds like how we do cloud! So where do you see, from the users that you talk to, I mean, you've been involved in this since the early days, so it feels like we talk a lot about cloud stuff, but it feels like we're getting a little bit more real, I'm heartened to see that users are starting to, you know, think about strategic, how they put things together, where do you see the customers you're talking to? >> Well, I mean, I think a lot of the customers are educated by the market. And the market tends to use a lot of these marketing terms, like composite, rather than getting down to what the actual sort of issues are. The issues, even if we go back to the highly accessible, industrialized type of infrastructure, I mean, the issue there is. Customers need to simplify things. They largely would like to do that through some type of, quote unquote, "automation". And they would like everything that they do under one governance model. Essentially, what you'd call life cycle management, or governance, or whatever. But these types of things that both the infrastructure, and the nature of the things that you do on it, are too complex. And they tend not to be, you know, once they're basically put in place, they tend not to be touched again. You know, so in fact, if you look at a good definition of like, legacy. Legacy, for me, is when the cost of keeping something as is, is basically cheaper than the replacement process. And actually if you look at that sort of cost curve, the day that something is best to leave as is, and it's very expensive to replace, is the day it goes live. >> So the legacy curve-- >> It's like driving a car off the lot. >> The legacy curve is actually a U-shaped curve. You know, in there. And in fact, the day something goes live, it's like a sieve and at some point, three, four, five years down the road, it's not legacy, and then about three, four, five years after that, it's legacy again. >> Reminds me of what Jeff Baso said, "There will never be a day two for us, "we are always going to stay day one, "focused on creating new stuff, "because otherwise once you go kind of steady state, "the decline is coming soon after." >> Yeah, and I think, I mean, if you look at now, myself having started I dunno, 20 plus years ago in scientific computing, and then, you know, meeting HPC and these types of efforts, and then showing up in sort of what one would call the quote unquote, "cloud world", the effort there has largely been the same, I mean, it's one of these ones where, infrastructure by its very nature is always risky to manage. You know, meaning things like, continuously deploying things into infrastructure, always runs the risk of making infrastructure inaccessible to people. You know, you don't instantly like, if a new operating system image comes out, you don't reboot 100, 000 servers. And then the applications that sit on top of it, and have historically inherited that risk from the infrastructure. And the effort has largely been separating those two. So that applications get freed of the risk from the underlying infrastructure, and then you can start applying a certain approach to the infrastructure, not really caring about what's on it. And cloud is pretty much this emergence of infrastructure, as its own practice. And it's going from traditional IT environments, where that sort of operational model, and that economic model, is not the center of anybody's product designs, to an operational and economic model that is at the center of everybody's sort of product designs. And the KPIs around what you're doing there, and whether you're successful, are relatively simple. And that is, you know, are you continuously improving, in terms of capacity, capabilities, and unit economics. You know, if you're not, if you don't have an exponentially decreasing unit economic curve, within, you know, a five year period of time, then you're probably not doing, you know, quote unquote, "cloud" right. >> Jason, we know with Ericsson's background, you've got strong positions in the telecom space, working a lot on the NFB solutions, expect that's a hot area of working with Red Hat, can you kind of sketch out for us, just where Ericsson sits in the marketplace today of where customers are coming to you, with kind of key partnerships? >> The element for us is that we're a 141 year old Swedish multinational. And we've been in the same business for 141 years. And that we provide the communication backbone for the world. And so, on one part of the business, is that if you see 2G, 3G, 4G, LTE, or stuff on the phone, or if you use a mobile phone in somewhere like North America, 100% of all that traffic goes over Ericsson applications. And so you know, we're a very dominant provider of that radio edge, if you will. The other thing we have, from an application portfolio perspective, is everything you need to be a telecom. So everything ranging from the network functions, through OSS environments, PSS environments, customer front ends. And the like. And the telecom space, has been undergoing some pretty dramatic changes, in some ways. Or not dramatic changes, depending on one sort of attitude over the last few years. The first one, is even though that far radio edge, if you will, has tens of millions of points of presence globally, that talk to billions of devices, that's a very algorithmically driven, event driven, very industrialized type of infrastructure. It's fair to say that if you look at the typical definition one would apply to hyperscale, it applies to the radio edge. It also applies to the sort of hyperscale cloud providers. In between those two things, is roughly about one to two trillion U.S. dollars of investments that sits in tens of thousands of facilities globally with pretty much the computer history museum of hardware and operating systems and everything else inside of it. It's effectively this whole middle mile infrastructure. For us, we sort of view the virtualization of everything that's in the telecom space, and uplifting it to a common infrastructure approach, is pretty critical to get a handle on that middle mile infrastructure. >> Jason, you know, when I think about the telecom space, we're talking about 5G now, these roll outs tend to take a while, we measure things in years, if not decades, before they roll out. Jim Whitehurst got on stage this morning, said, you know, "Planning is dead, "we don't do a 10 year big data plan, "we won't do a ten year AI plan." How does, you know, your set of the market live in this greater changing world, how do you look forward, can you predict like we did in the past? That's a, so I think yes and no. I mean, we, you're correct in that if you take a market like India, India's going to hit 200% 2G penetration in 2020. And so, we're talking about something that's going to happen 20 years after it started in other parts of the market. You have spots like Papua New Guinea, that are, have 2G networks throwing 200, 300% year over year. And so when you look at this globally, the roll out of these technologies are on, typically, a 30 year time schedule, overall. And they result in people owning assets that they have for at least 30 years. In many cases as well. So on one aspect, there is very long term planning that has to exist, and we have some customers we've had for a century. From that point of view, they have to know those types of plans. On the other end, is if you look at what we have to start doing from a technology standpoint, is enabling just a tremendous amount of flexibility, to be able to just get out of this legacy hamster wheel. This idea that the second you go and deploy something somewhere, you can't touch it again, and you can't continuously improve it again. You know, we're trying to sit down and say, "If we go out and do these types of deployments, "we need the ability "to actually continuously improve these." In fact, that's really what the industrialized word means for us. And so, for many of these things, you know, we've been taking certain approaches. I mean, interestingly enough, if you look at the actual mobile edge of things, the radio edge of things, that is one where there is one hardware platform, it comes in tens of form factors, we'll go and deploy out that infrastructure, and whether it's a 2G, 3G, 4G, 5G, narrow band ILT infrastructure, it's purely unlocked in software. And so that is a good software to find, sort of infrastructure. And you do it that way because at the end of the day, somebody's got to go into a jungle and put a cell tower up, and you don't want to go out there again. And we want to take that same sort of thinking throughout the rest of the infrastructure. >> Jason, it always fascinates me, if you look at this space, I mean, I remember we interviewed you back at Joint, we were talking a lot of the show about containers, and there's things that we've tried in the past, and now it's coming at it again on edge computing, is something we're starting to talk about, it's a little bit difficult to predict how long some of that will take, and some of the cycles, but maybe to wrap us up, talk to us a little bit about this, you know, Ericsson's planning for the future, what are some of those big challenges that you see, that we as an industry need to tackle, and maybe some of the things that will earlier wins and stuff, that you know, might take a little bit longer. >> Yeah I mean, a little bit longer, and if I look out really, probably the next 15, 20 years, I mean the type of middle mile industrialization they're doing today is a prerequisite for all the IOTUs cases to show up on 5G. Because there's simply not enough middle mile capacity in the world, or capabilities there, to even have it go to an amazon type perspective. So even if that all ends up there, so, now it's going to be this very large effort of I think, bringing these two worlds together, and on the hyperscale cloud providers, you have a very industrialized approach in infrastructure, and it's very supply chain driven, and it's very sort of, easy to cookie cutter out. On the extreme end of the infrastructure, on the radio edge, it's the same what. And, but all the stuff in the middle's not. And if you look at the channelage from a cloud perspective, it's about taking those sort of learnings from the book ends of the infrastructure, bringing it to the middle, if you will. And starting to think about what, because edge computing's a great example, it's like, what does it mean when you start using that, from an end user perspective? You're not going to go to a pull down menu, and pick 12, 418 availability zones from a list of 120, 000 global availability zones. You're not going to automatically have issues around data sovereignty and everything else like that, just sort of be tackled. So I think in many ways, when we start looking at some core concepts that live in hundreds of facilities, and sort of large cloud providers, and some of these concepts where we manage to do things in tens of millions of base stations, talking to billions of devices, the reality for me is when you look at the redo, and now the more global use of that infrastructure that's in the middle, it's going to require developer accessibility, and a certain degree of programmability that doesn't actually exist yet. And you know, of course it's an open question of how much you do it. I mean, you know, you're going to have to scale topologically, rather than sort of scale in other ways. And a lot of that stuff's just not done yet. >> Jason, thank you so much for joining us, we really appreciate your time. >> Anytime. >> We'll be back with more of theCUBE's coverage of the Red Hat Summit, after this. (electronic music)