 Hello, my name is Ashish Pradhani. I'm responsible for cloud platforms at Red Hat. And more specifically, I've been responsible for OpenShift since pretty much the earliest days. So welcome to OpenShift Commons. Thank you for attending virtually. And I'm really excited to be here in front of you, at least virtually presenting on just some of what we've been up to with OpenShift, with Red Hat's larger cloud strategy as well as help us look forward a little bit to where we hope to go. So let's start first with what we truly believe is Red Hat's mission. It has been Red Hat's mission from its earliest days. Open unlocks the world's potential, right? We fundamentally believe in open source for over 20 years as a company, Red Hat's invested in open source communities and making sure that we are able to deliver and support product technologies based on open source and then ensure that our customers are successful with it. And so when we talk about open first, we also want to make sure that we put the user at the center of everything we do, right? Make sure that they have a primary user experience that allows for them to be productive from all the tasks that they are trying to accomplish using these open source technologies. And to be really good at ensuring that the user comes first, we want to also make sure that we are able to provide the value of operating those technologies directly to our customers. And so this collaboration that we want to kick off really is about the operational knowledge to use software is becoming as important almost as the code itself. And so all the work that we do to stand up the software, to use it, to operate it and then pass all of that learning and all of that feedback into our products, to our technology directly to our users, allows for everyone to be successful. And so you'll see a lot from us with regard to also talking about our operational knowledge, also talking about our investments from an SRE perspective and then talking about how we can take that and put that back directly into the community. Having said all of that, what we really focused on is to give you beyond even just core infrastructure is what we'll call intelligent horizontal platform. What does that mean? Our platform itself runs across various IT footprints from physical to obviously virtualized, ensuring that we're on a bare metal as well as we do for someone deploying on a private cloud as well. So obviously on a public cloud. And then increasingly what we find is these applications, especially in those distributed environments, especially as companies fundamentally embrace distributed systems is that they're running more and more out to the edge. And while the edge is an interesting topic, what maybe one company considers an edge, to other seems still fairly close to the core and they might be thinking of edge as just very, very close to the actual user of the technology. But regardless of these definitions of near edge or far edge and how companies think about it, what we want to do is provide you an abstraction that spans bare metal public cloud as well as edge in a consistent fashion. And if we're able to do that, which we firmly believe that we're able to do and we can continue to keep investing in that, is to provide you a hybrid cloud, the same user experience, the same lesson that we learned from operating in ourselves at scale and giving you all of those capabilities. So you as a user, as a customer can find value from it. To do that, we've built an entire portfolio of technology across a collection of products, open source communities that we work with it, feedback from users over time. And as we've done that, we've also ensured that we're embracing the new areas that customers are going towards. And that gets us to Kubernetes, which is really at the heart of our platform. What we've done is to say, how can we provide you a container-optimized operating system taking advantage of all the work that we've done over years with Rancher Linux, ensure that we are a first-class supporter of Kubernetes where we are CNCF certified with regard to the Kubernetes distribution we provide, and then layer on top additional services that can provide value. Some of those are services directly for the platform. Others are with regard to actual applications you can run on it, services to make it easier for you as a user to develop on the platform, make it easier for you to consume data from the platform, and then of course an entire ecosystem, which is really where OpenShift Commons shines around additional services that the user might need for this platform. And then finally make sure that we're able to provide you management across multiple cloud deployments that you have. So that entire, if you will, packaging, that entire combination that we provide to you as a user is about saying, we're going to take care of a completely integrated platform all the way from the OS going up into actual services as well as a management. Having said that, we also want to make sure that it's flexible, that it's integratable, that we allow for you as a user to take advantage of different services from various partners to be able to deploy this platform across a series of these environments as we talked about, the four footprints that we established and now add edge to that, and then ensure that you can deploy that, run that and manage that at scale. And then we can do that with you on the biggest public clouds or we allow for you to do that yourself. That's a lot to take in, right? Because what we're trying to do is ultimately provide you a platform that's usable and flexible across these environments, but at the same time ensure that to the extent that you need assistance from us to be able to run and deploy that, we're able to provide that for you. Having said all that, what are these different managed cloud offerings that we do provide you? So of course we deploy and run and support OpenShift on-premise that a customer can manage. We work closely with partners like Microsoft Azure as well as AWS and IBM to provide a jointly managed and supported OpenShift service that runs on those clouds. And then we also provide an SRE service that we deploy and manage on Google. So any major cloud of your choice, we can provide you a native offering on it. And of course we support you to run and deploy that yourself also in any of these clouds as well as directly in your own data center and on bare metal environments. And that fundamentally takes us to the next point, right? Which is that we believe that the industry has fundamentally changed. It's gone from what we'll call proprietary scale-up architectures. In the old days you might call that. Mainframes moved that to commodity scale-up architectures. So Java or LAMPstacks would be examples of that. From there to proprietary scale-out architectures like what we run from a grid perspective to more and more increasingly these days commodity scale-out architectures. So for example, with the advent of big data or no SQL deployments. Kubernetes itself can run on any of these architectures and in an automated fashion and in almost a fashion where it learns as you scale. So in almost an autonomous fashion. And these characteristics of Kubernetes which makes it the heart of our platform which makes it the basis of these clusters or self-healing clusters that we provide for you. Makes us confident to say the cluster is the new computer. It makes us confident to say that as you operate them and you put grid and grid automation into these platforms and you run them at greater scale the learning that we can provide helps for you to deploy applications and manage them in a better fashion than ever before. And then I'll talk a little bit about the investments that we've made to create greater operation into the platform. One example of that is some of this technology that Red Hat acquired through an acquisition of a company called CoreOS is to be able to say how can we provide for you over-the-air updates that make it easier for you as a user to be able to consume upgrades to the platform to be able to ensure that you can upgrade the platform itself. And then as you see new versions come out as you have new, let's say, security vulnerabilities being released that you're able to manage them in a much better fashion as you did before. Installation and management of the platform is the feedback that we've got from the over-2000 customers that have deployed the platform at scale over the last five years or so. It's definitely a top priority for us for taking the lessons that we're getting with regard to running applications at scale and then building them back into the platform. And these results that we've got with regard to the lessons that we've learned from customers and that we continually keep investing in ensuring our strategy keeps us up really has allowed for us to get some great recognition in the marketplace. So you might have seen a recent force to report that came out that ranked the Red Hat technology and the OpenShift platform really as market leading not just with regard to the strategy that we've put in place but also the execution with regard to the capability that we're delivering to customers. And for that I want to thank all of you, our users, our customers, our partners for giving us this feedback for giving us, if you will, this kind of support that allows for us not only to be able to serve you, to give you a platform to run your mission critical applications but also to give us the feedback so that we can continuously keep thinking about look what else do we need to add to the platform to make it more and more usable as you deploy and run these platforms at scale. And the reason for the success that we have with regard to a hybrid cloud, really there are a few keys to that but I want to kind of walk through them a little bit so you have an understanding. Number one is what I'll call our commitment to innovation and our commitment to open source communities and our interest in making sure that we're fostering this collaboration on a global basis. You see us active in a lot of different communities so whether it's Kubernetes community, whether it's the work we're doing with regard to the operator technology that we're making available to customers large, whether we're participating in other areas like whether it's Tecton, Knative, Argo CD, areas that we can provide creator capabilities from a developer perspective that we can integrate into the platform or the work we're doing to be able to say look there needs to be the ability to move legacy workloads on the platform and investing in projects like Kubbert to allow for virtual machines to run natively within a distributed environment like Kubernetes in the same way as you would run that VM in your traditional environment, in your data center, in the way you've set up your existing applications. So it's a huge range of projects, it's a huge range of communities that we invest in ensuring that we're continually staying at the highest levels from an innovation perspective. So that's if you will one leg of our strategy and where we invest. Another area that I want to make sure I call out is just the number of use cases that we're able to participate in with the trust that our customers place in and the insights that we can get from that. So whether it's modernization of existing applications and saying I want to deploy them in containers as microservices, run them in a cloud native fashion, whether it's thinking about newer workloads in AI ML for example, that's extremely popular. Whether it's customers thinking about I've got big data or analytics or new applications that I need to build. How can I take advantage of deploying it and running them at scale? Customers that come to us with regard to wanting to run their platform in a hybrid cloud fashion. So an abstraction that's consistent regardless of where it's deployed and run any of these different use cases that we help customers with, they're always for us to learn. And I want to take one example and give you some background on the sorts of things that we see customers doing. So fairly recently we had a customer financial services company based out in Latin America that wanted and got the license to open a brand new bank in Spain. And they said, hey look, we have an opportunity to open up a brand new bank. And of course today if someone opens up a new bank they're likely going to make a digital right. So this was a digital only 100% digital new bank that they decided to open up. They named this bank Pi Bank. And the project went from planning and design to production on the OpenShift platform within four months. So within four months they went all the way from planning this all digital bank to actually launching a checking account to the public, which is incredible. To be able to see this kind of speed that customers are going through when they think about I want a cloud native development platform that can be flexible and allow for me to allow services. They are now putting out new services such as credit cards, mortgages and deposit new kind of if you will deposit capabilities all based on this core platform that they've built out. So that's truly, truly phenomenal with regard to if you will the speed that customers can move at now. The feedback that they gave up to us was to tell us that they can roll out updates and new services twice as fast and at half the operating cost in comparison to if they had gone with any other alternatives to be able to deploy and run this. So really quite incredible to kind of see that. And of course they want to deploy and run this in sort of a hybrid cloud to be able to take advantage of public cloud services and infrastructure when they can and also take advantage of their traditional environment to make the most use of their investments. So really great example if you will and there are so many more examples like that of customers doing some remarkable things with the platform and that really is what motivates us to keep investing and growing and supporting our users. And having said that, the key part of growing and being motivated and supporting our users is really this community collaboration. And that's the reason why I'm excited to come to OpenShift Commons to have a chance to talk to all of you because our partners really are at the heart of what we're able to deliver. I mean, we noticed that to the extent that we're focused on ensuring that our customers are successful we also want them to feel like, look, they're part of a greater community, right? A greater community of users who's collaborating to share best practices. Talk about what's working, talk about what's not working, right? Feel is important because we learn from our mistakes, right? And then we share with each other to be able to tell each other, hey, this is what didn't work, maybe try something else instead or talk to someone else in the community get the feedback from them with regard to if they had a challenge, how they overcame it. And so maybe when you see that next in your environment, you know what to do. Maybe learn from some, you know, providers of monitoring service, of a logging service, you know, new database technology that's come up and build to think about, look, how can I take advantage of that? How can I use that within my environment? And so this ability to sort of provide OpenShift Commons, which, you know, we've as a group collectively invested in for so many years to be able to create this sort of ecosystem, if you will, of partnering, of engagement with each other is so important to us and why we keep wanting to make sure that it's available to users across our world. It's because I think we learn best when we're able to talk to each other and be able to share these lessons in a very kind of free information exchange to be able to grow from that. And in the work that we do in terms of this collaboration really allows for various different services to come out. So I talked earlier about this notion of operators and the simplest way to think about operators is to say, if I could take a piece of human intelligence and be able to encode that intelligence with regard to how to update and manage a piece of software and application within a distributed environment and have that environment cheat that sort of instructions as native to the environment and be able to follow that on a repeated basis, wouldn't that be extremely powerful from an automation and management perspective? What does that mean? That means that if you've got hundreds, if not thousands of containers that are running at scale and certain of those containers actually carry applications and those applications need to be updated in a certain way, to be life-cycled in a certain way, need, for example, to be brought up in a certain way, if for whatever reason a part or a node goes down, then the system is smart enough to be able to have the instructions to be able to put that in play. And that's really the value of what an operator brings with regard to automation management into the platform. And we're really, really happy to be able to build a large ecosystem of users, of our partners, of our customers. We're all building these operators. And so you've got some examples that you can see and they really span multiple categories, right? Going from databases and big data to developer tools to, you know, I talked about AIML and workloads becoming extremely popular with customers, as well as areas that you would expect around monitoring and logging and the security and so on. So to the extent that you have questions around this, I encourage you to ask people around you within the OpenShift Commons community. There's a wider, you know, operator ecosystem as well. There's an operator hub that you can take advantage of with regard to what operators available, as well as many other resources to learn about, you know, what operators are, who's participating in the community and how you can, you know, either create your own operator or use operators that are created by others and how you can go off and really extend your platform and make these applications much more cloud native than they have been in the past. And then we also provide you a way to consume these different services, right? Whether it's operators that come from different partners, as well as additional technologies that we make available to you via the Red Hat Marketplace. So the Marketplace is, if you will, a relatively new offering from us. We did this in conjunction with IBM and IBM invested a lot of resources from an engineering perspective as well as, you know, product capabilities to build out the specific Marketplace for OpenShift. And it can be deployed on any cloud and on-prem, anywhere basically that OpenShift runs and gives you access in one place to essentially a large catalog of certified enterprise software, some of which obviously comes from Red Hat and IBM and a whole lot of it that comes from our partners. It takes advantage of these operators that we just talked about to make it easier to install, deploy and manage the various different applications. We provide support for it and for you to use, if you will, the software that's coming from our partners and of course there's a whole lot you can do with regard to the spend that you have on it and making sure you can optimize what you purchase. So we're quite excited to be able to normally provide the key core technology for operators, for third-party applications to be deployed and run natively in our OpenShift platform but then also provide you technology like the Marketplace to allow for you to be able to consume. So I've gone through a lot of topics in relatively short period of time and I thank you for paying attention and giving me the opportunity to talk about those things. Let me just speak for a few minutes with regard to where we want to go from here and really what drives us. At the beginning I just started off by talking about OpenHyperCloud and really this might sound like just a few catchphrases or words but for us it's more than that. It's a philosophy to us and by that what I mean is we firmly believe in open and open source. I started off this conversation talking about that but then we also firmly believe in this notion of choice. Choice with regard to deploying your applications, your platform in any infrastructure that's appropriate for you and you will have different reasons. You might have reasons with regard to data locality, compliance, some kind of government regulations, privacy, any number of reasons for you to say certain applications will run on data centers environments that are in a certain country, a geography, a jurisdiction of some sort and others that you will say look I can take advantage of a public cloud or a third party offering and deploy them anywhere I want. In certain cases your focus might be on saying how can I directly run on bare metal? Make sure I take out the tax with regard to overhead if you will even from a virtualization perspective and run this container platform to give me a greater efficiency directly on bare metal servers. Certain other cases you might say look I want to deploy and run this application set directly on new environments such as Nvidia based GPU and with OpenShift we help support all of those choices. Nvidia is a great example. We've been partnering closely with them to ensure that the OpenShift platform is supported to be deployed in an Nvidia environment. We have customers already taking advantage of that. Volkswagen is a great example of someone that's been doing a whole bunch of its autonomous driving machine learning simulations in containerized fashion on the OpenShift platform running off of Nvidia hardware and so lots of choices regard to deployments that you can have from a cloud perspective from a platform that you choose as well as obviously hardware choices. We also want to ensure that we are supporting you into new application areas. I talked a little bit about the interest in AIML. Edge is becoming increasingly an area of interest. You see us making investments with our new product releases on the edge front both with OpenShift but also with RunHandPrice Linux. We announced support for three node clusters you expect for us to keep investing in those areas going forward and it's true for essentially an entire portfolio that we want to make sure whether it's OpenStack technologies whether it's our management technologies helping support customers who want to increasingly run more and more out into the edge. So expect for us to keep expanding from an application perspective to also widen our footprint. We want to make sure we're giving you a cloud-like experience as well. So when you are deploying and running these services in the cases where you choose to say manage this for me Red Hat or manage this for me in conjunction with a cloud provider give this to me as a first-party service. We want to make sure we do that as well. So whether it's Azure Red Hat OpenShift Service whether it's OpenShift Service on Amazon or the one on IBM Cloud or any of the other clouds the experience that you will have of being able to consume OpenShift is just like any public cloud service. And then you'll see the rest of our portfolio also being made available in the cloud. So whether it's our middleware, it's our new next-generation modernization of Java called Quarkus which I highly encourage for you to check out. This is a community that you can definitely engage in to think about modernizing Java applications. You know, take advantage of running that in OpenShift as a service our API management technologies Kafka to provide you streaming capabilities our storage software also made available as a service. So essentially our entire portfolio is made available to you as a service to provide you as much a cloud native experience as possible. So whether we're talking about this support on multiple different clouds on the hardware that you're deploying on whether you're deploying it on bare metal new applications frameworks you can take advantage of deploying out directly into the edge regardless of whether you're a telco, customer user or if you're an enterprise all of it in a cloud like fashion is really what our vision is for Hybrid Cloud. We want to make sure that we're able to provide you that abstraction across any choice that you make as a customer. So with that, I think I'm out of time. Thank you very much for taking some of your valuable time to listen to me for listening to what we've been working on. We are truly very proud of what we built so far with your support and we hope to keep being able to engage with you as an ecosystem in open fashion to collaborate with you to encourage for you to take part in Commons both to learn from others but also give back because the only way we become stronger is when we participate when we share and we are much more open because we believe that that's the most beneficial for all of us going forward.