 All right, everybody. Can you hear me? Hello. Hello. Hey, everybody. It is lovely to see you all in person. So if you are at the wrong conference this week, this is DevConf U.S. It takes place in the United States. It's not the one in the Czech Republic. I am Langdon White, and I'm going to ask these two who are my co-chairs to introduce themselves, and then we will give you the welcome and the intro. I am Sally O'Malley. I work for Red Hat, and I like to think I'm more than a conference organizer, but I do my best, and I do not have blonde hair anymore. Hi, everyone. I'm Ureba Shimonani. I am also an engineer at Red Hat. This is my first time doing DevConf in person, so I'm really happy to see all your faces and be back in person. All right. So we made some changes. So basically, we did the first two years in person. I know at least some of you were there. I know some of you spoke, and that was a lot of fun. And then we decided to do the last two virtually, and so it's been a little bit of a change. But then for this time, when we decided to do it back in person, I pointed out to the co-chairs how much work it really is. And so we indoctrinated a steering committee. And so you can see their names up here. I'm not going to read through everybody because of my life, but this is kind of the leadership team that we really like to think they probably put the most effort into DevConf aside from us. And so thanks to all of them. Maybe a round of applause. Thank you. But then we wouldn't have any content except for the track captains. So thanks again to all of the track captains. You should see them listed. They're affiliated with and thank you again for looking through what we ended up with like 400 proposals. I do not remember. Yeah, a lot of proposals. And then we lost all the proposals because the system crashed. So that was a lot of fun. So apologies on communication with speakers and all that jazz. Yeah, it's because we lost all the data. So yeah, good thing. Some backups. And so thanks again to all of the track captains. We'll ask for another round of applause. And then of course the volunteers. This basically would not happen except who are you'll see running around all over the conference. And with all kinds of different jobs. So thanks again to all the volunteers. We really appreciate your help. And we hope you'll be involved for all the years going forward. And one more time. All right. Thank you. Oh, I also want to say they're absolutely wonderful to work with Larissa and the whole the whole crowd at BU that has helped us. Yes. And I should keep them on my good side because I actually recently went to work for BU. So now I am actually a BU employee, not a Red Hat employee. I thought that was a comment. So for the schedule. And on the next page, I have pictures, but you can find the schedule. That is the definitive schedule. We do have some paper schedules up and around. But as you might imagine, we've had some issues with people being able to make it as speakers. So some of the schedule is a little bit in flux. So just, you know, check the digital version. That will be the golden record, right? If you're remote, you want the live stream, you can find it as the video stream link on SCED. I also started putting it in the Discord channels, but obviously I only did the main stage one so far. But you can the live stream on YouTube on the DevConf channel. The thing is we disabled chat there and asked people to do the chat in Discord. So that way you can actually communicate with anybody here as well. If you're not on the Discord, maybe you should join the Discord. And then if you have any experiences that you feel like violate our code of conduct, which is printed, it's on the website. You can read through it. In short, you know, I jokingly refer to it as be excellent to each other. And if you haven't seen Bill and Ted's excellent adventure, you're missing out. So exactly, party on dude. So be excellent to each other. Remember this conference is intended for new conference goers and new conference speakers. So constructive criticism is okay, but if you want to belabor a point or something like that, this is not the place for it. You went after the talk outside of the room. If you want to belabor something, go to FozDev. Not this conference. All right. So please keep that in mind. This is meant to be a soft crowd for new speakers. So hopefully we have a good mix of new speakers and then also some ones that you've probably seen before and really want to see again. And then lastly, and if you have any questions, our info booth is registration. So just head back there. There will always be somebody there from what we say, 830 to five today, tomorrow. And then on Saturday, we actually wrap up around 2pm. So come back for that as well. Let's see. What else do I have on this mask are required at this event. We made the tough call was a lot of people don't like wearing masks. I completely agree. It's extra fun. If you have a beard, it's extra warm. But we don't really want to be a super spreader event. Actually, a conference is what started COVID in Boston. So let's not do that. However, speakers, you should feel perfectly comfortable to either wear a mask or not wear a mask while speaking. Lastly, here are QR codes. So there is a map of both the venue and kind of the surrounding area with food. At that link, you can also get to it from the website. But and then the SCAD is there as well. Hopefully all that stuff is pretty well named and it's easy to find. But there are QR codes. Because I love QR codes. There are also QR codes printed out around registration, the same one. So you don't have to take a picture now. You can walk around and find them. All right. And then lastly, we would like to point out that we have, oh, actually, I wonder if we're thinking about this. We're doing this photo booth and we're doing a little contest for the best pictures from the photo booth, as well as around the contest, around the conference. So please keep that in mind. And the winners will be announced in the closing ceremony on Saturday. The last thing is we also have a slot for lightning talks. So if you would like to do a lightning talk, there are whiteboards in Ziscan Lounge, which I don't think anybody has drawn lightning talk on yet, but we'll be there. So go sign up with your name and email address and the title of your talk. And then we can get some fourth rank voting. And then we can actually do the lightning talks. Non-technical lightning talks are definitely accepted. Yeah. I think that's it. Yeah. So hopefully, you know, enjoy the conference. We're really excited. And we wanted to mention wearing masks is important. And, you know, if you didn't bring a mask, because you weren't prepared for that, we do have some at registration. Obviously, we only have some at registration. So please try to bring your own. If you want to bring a box of masks, that would be fine too. But yeah, I think that's it. One more thing. If you're one of the early folks who didn't get a badge, because we're still getting our badges, we have them now. So feel free to head back to the check address to grab one. And most importantly, there will be lunch at noon, box lunch and some coffee throughout the day, maybe pastries. All right, thanks so much. And we wanted to say something about Marina really quickly. Oh, yeah, yeah. So we did want to honor really quickly. We didn't have good content put in but Marina Z recently passed. Many of you have worked with her or been touched by her. And it was a very sad day for a lot of us. In particular, for DevConf US, she was basically the person who like went through a lot of the speakers went through a lot of the attendees and tried to help us diversify the people who could speak and attend. And very diligently, sometimes like five, about 500, 1000 names, and then would make recommendations back to me. She also scrounged up money for support for them as well. We try to be, you know, we really want to be an inclusive conference. It's not just about new speakers and stuff. We also want to make sure that, you know, if you can't speak because you have kids at home, we want to try to help you pay for things like childcare. You know, so didn't do such a great job this year. But we definitely have done, I think a pretty good job in prior years. And Marina was a big part of the reason for that. So, you know, sad loss. And the wording in our, in our website and our messaging, a lot of that comes from Marina when it regards to diversity and inclusion. All right, so let's kick it off. So for our keynote today, we have a fireside chat with Chris Wright, the CTO and SVP of Global Engineering at Red Hat. I would like to invite him on stage now, please. We are incredibly lucky that you could fit this in your busy schedule. So thank you very much. You're very welcome. Glad to be here. And what are we here to talk about today? We're here to talk about the edge computing. Do you know a little bit about edge computing? I hope so. I've heard about it. I'm still trying to figure out what it is. All right. But before we dive into the edge computing questions, please give us a quick introduction and talk a little bit about your journey so far at Red Hat. Sure. Well, I've been at Red Hat. Well, my name is Chris Wright and I'm CTO for Red Hat and I run all the engineering groups. I've been at Red Hat for over 16 years. Easy to remember because I started around the time my 16 year old daughter was born, who's now a driver and that is terrifying. And I came to Red Hat as an open source developer. When I joined Red Hat, we were a single product company. We just did Red Hat Enterprise Linux and I came to help Red Hat become a virtualization company, which became Cloud. And since then we've grown to be both large in terms of people and large in terms of our product portfolio. So I'm an engineer. I got involved in open source communities through a scratch my own itch need that I had a number of jobs ago. And the first experience I had in open source was being relatively new to a pretty complicated space of high availability and feeling like I was rubbing shoulders with some of the smartest people on the planet in that particular domain, which was both an honor, humbling and super exciting. And I had something that I was interested in doing, which I ultimately contributed as a patch, which was accepted and I couldn't believe it and that experience of engaging with really smart, passionate people on a topic that's interesting to me and being able to participate just because I was interested and had initiative and drive was infectious and it took over my life and I did a right turn at that point. And here I am. It's also I'm sure we're going to have a whole talk on your experiences so far, but thank you for that quick, quick summary of that. So let's dive into the edge computing questions. Can you explain what edge computing is without any buzzwords and why you and Red Hat are so excited about all the possibilities with that? No. I only speak in buzzwords. Actually, I hate buzzwords. So to me, edge computing is is about it's a just big distributed computing problem and it's about bringing compute closer to the producers and consumers of data and which means a lot of the edge computing applications or workloads are data centric and because it's highly distributed, there's a number of interesting challenges that come with that and it is also tends to be focusing on bringing compute to these data centric challenges in ways that the hardware that's involved is important because it's not unusual to find power constraints or space constraints to do the computing task and even environmental concerns, you know, it's exposed to the real world. So you have this, you know, picture this, this image of computers scattered around the globe connected to resources of data or producing consumers of data crunching away on the data with this intention of being highly performant or or power efficient or effective at the job, basically. So to me, it's likely to become one of the larger footprints of compute. So cloud today is is growing in in dominance of where a lot of compute happens in the fullness of time. And you think of cloud is while it's technically distributed, it's logically more centralized. Think of cloud being one place where compute happens and edge in another place where compute happens over time. And we'll see what the balance really is. Some predictions are it'll be substantially more than cloud others kind of on are with cloud. But if you think about the pendulum swing of technology, more centralization and more distribution that's sort of forever will be doing that today. We're swinging towards more distribution away from these centralized infrastructures and clouds. I often wonder, you know, why is it that we're hearing so much about edge now and not a few years ago? Is it because hardware has, you know, advanced enough or come down in price enough so that these edge devices that used to be just, you know, dumb, maybe blind, like mirroring a terminal for a server. Now they actually can do do things. And it makes sense for them to do more like process the data at the source because it's it's more cost effective. And is that why we're hearing more about the possibilities of edge now? Do you think? Well, it's a whole, it's never as simple as one thing, right? It's a whole series of events that are coming together over time. We've been instrumenting more and more of the world. So whether you think of those as sensors or ways to gather data from the physical planet that we live on, that's one key piece. So there's this amassing of data. And as we amass data, we got to figure out how to process it and data can be processed in place or it can be moved. Moving it is expensive and moving data across large amounts of data across networks as you care more and more about more and more data eventually just becomes cost prohibitive or you even hit laws of physics. Like it just isn't going to work. And especially if you have latency sensitive applications, things like augmented reality or virtual reality where you're really trying to engage with something at a human level where your perception matters in the milliseconds of latency can be the difference between a good experience and a nauseating experience. These are types of things that are happening out in one dimension. And then the other dimension is advances in hardware, hardware being more efficient, faster, focused on more specific domains. And those domains have direct relevance to edge computing, whether it's transport of data, persistence of data or processing data. So what industries do you think that we'll see the most activity or advancements with edge computing? I know there's telco, automotive, like are those, what are some of the industries that you think Red Hat's going to be involved with? Well, edge is a buzzword. And if you go back in time, the buzzword before that would have probably been IoT. And there's some similarities between the two. The reason I say that is in the end, probably every industry will have some footprint of compute sitting in an edge environment, but they're all different. So you could argue that a phone in your pocket is an edge device and we've had those for a long time and so would it, maybe we've already been doing edge computing. A vehicle is emerging as a data center on wheels, so that is absolutely a type of edge compute. It's also connected, one hop in, to another set of edge computing devices that are maybe arguably part of the network or part of an infrastructure. So the automotive industry is definitely a space where we see pretty rapid advancement in quote unquote edge computing. But then think about a brick and mortar store, retail establishment or bank or something like that. There's a computer there. Those computers are considered edge devices. Sometimes it's called the remote office, branch office or robo if you're into the lingo. And there's this sort of similar scenario happening even in those environments where things like video analytics and stores to understand how a change in how you position merchandise or even flows of traffic through your stores can impact sales. Yeah. Means you need more compute and more data that's happening in the store localized to that particular facility. So there's a lot of different areas. The places that we're focusing on at Red Hat are in the automotive industry, industrial automation. Sometimes it's broadly referred to as industry 4.0. But typically that's about manufacturing because there's different types of manufacturing. There's discrete manufacturing where you produce a good. There's process manufacturing, which is often associated with the energy industry. And then there's this notion of, it's called IT OT convergence, which is another buzzword where OT is operational technologies, which is basically where computers engage with the physical world. So imagine like a pipe and a pipe has a flap that can control whether things are flowing through it and that flap is controlled by an actuator, which is controlled by a computer. That world is transitioning from pretty old school simple technologies of maybe microprocessors that have a fixed task to more of a software defined world. So the tasks are still, some of the tasks are still identical, but now you can capture more information and do more intelligent routing of electricity, for example, in a grid. So it's kind of pervasive, that notion of what is industry 4.0 and then other areas like the healthcare industry, telemedicine, whether it's true like remote surgery, which is a pretty intense application of edge compute or even just the ability for doctors to work with patients remotely. There's just so many different. Or gather data maybe like with an insulin pump, a smart, you know, a smart insulin pump or you could connect data to your doctor and yeah. So it's a big broad space which means it'll probably impact in some way, shape, or form every industry. I talked to the financial industry, well, we've been doing edge compute since the very beginning because we measured the length of the cable between our rack of servers and the feeds on the trading floor because speed of light and getting being closer at the edge to the trading transactions means you get a financial advantage. But the next generation of edge might look more at how for the financial industry might look more at how transactions happen and not always require full transactions to come back to the core central database but you do speculative and predictive transactions in a context that's usually about fraud detection and making sure that somebody's not using a stolen credit card for example. That's cool. So you talked about a lot of industries or an opportunities here and you also mentioned which one's Red Hat is focusing on but can you tell us which one of these are you most excited by and why? Well, I actually am pretty interested in the automotive space because it's pretty cool to imagine how we all have a relationship to vehicles whether you own and drive a vehicle or whether you're sitting in one from time to time it's really something intuitive you can relate to. Vehicles are already pretty intelligent. A simple vehicle has things like adaptive cruise control and lane assist for drivers. I happen to care a lot about this because I have a new driver. And then you kind of imagine the future of driving which could look quite different and the value of impact to our lives you're not stuck behind the wheel paying attention, stressed out in traffic you could be doing something different with an autonomous vehicle and possibly also changing pretty fundamentally what that means from energy consumption and environmental impact on the planet. So to me that's a really cool one. We've also taken edge to the extreme with work that we're doing starting in open source communities and put Kubernetes in space. So putting Kubernetes in space I think is about the coolest thing that I could imagine. Putting open source software on the International Space Station helping scientists do rapid experimentation where you can really get that sense of where latency matters. Take a big experiment and try to funnel all the data back down to earth and do some data analysis and then feed the results back to the scientists in the space station and then lather, rinse, repeat that could be a pretty painful or even just non-functional experience. And so that's something that we're doing today and you can imagine a future where there's more and more edge in space certainly with low orbit satellites kind of changing how we think about data distribution. These are areas that I think are really interesting and a lot of the value of the data that we're gathering I think can give us a better sense of how we're engaging with the world in general. That has societal implications. Some as I mentioned already are environmental others can be more about understanding humanity. So I think there's just some really interesting side effects that come from the application of this edge compute domain. Also means we have to pay close attention with data data that we're producing as individuals there's privacy concerns and what does that mean? So I love the space because in one sense it's very hardware centric and I'm an operating system geek I spent a lot of time doing hardware enablement. Being able to take what we've been doing for decades and apply it to a new domain to me is just exciting but then putting Kubernetes in space or something like that is pretty awesome. Yeah, when we talk about edge computing we often talk about remote management and sometimes devices are somewhere where it's not easy to get to and when you think about space you can really see that problem because you're not gonna be taking a ladder after fixing your satellite so yeah. What other problems? We haven't figured that one out yet. The proverbial truck roll. I mean, I guess Tesla launched that vehicle so maybe they could, that was the truck roll to touch the satellite. So there are other challenges when it comes to edge computing like accessibility and what other challenges are, you know, what are the big challenges that need to be solved with edge computing? Well, as I mentioned earlier, one key area is it's just a big distributed computing problem or challenge and the notion that we're spreading compute across a large physical infrastructure connecting it all with networking and expecting to do something useful means we have to understand what those connections look like where you can, how do you annotate the latency sensitivity of an application or make that visible to some kind of an infrastructure that's doing orchestration to place both applications and, you know, close to the data that it cares about. Then we also have this issue of how do you manage that thing? Like imagine this big highly distributed infrastructure that could be in outer space where you're not gonna do a truck roll or it's just a remote physical environment. The ability to push changes, manage things that we understand in a data center, config drift or software patching and updates in a way that continues to work because you can't just go physically reboot the system very easily, if at all. That's another area. So that's sort of broad scale systems management and big distributed system. How does that work? How do you manage it? And then remember that it's often these edge devices are often deployed in places that are publicly accessible. It's on a telephone pole. It's in a place where a human who could be a malicious actor has access to the hardware. In the data center, you've got security guards and badged entrances and things like that that protect devices as well as any of the network perimeter security in a place where you have physical access. You need to maintain the integrity of that system through some level of integrity measurements and attestation to be positive that what's running on that system is what you thought was running on that system. And that is an interesting area of security research that's been ongoing for quite some time. We've had trusted boot and attestation servers that services that we've built. One actually coming here out of the Boston area called Key Lime and something that we've been interested in at Red Hat. But how do we make that work in these small edge devices and how do you ensure that not just the sort of supporting platform content but also the application content that you're delivering plus the data associated with that is protected, secure and you have confidence that it's doing what you thought it's doing and not being hijacked for malicious uses. So to me, that's an interesting space. Security is a tough one. And it's a great example of something that we've seen some of the hacks on, I think one of the vehicles showing you, without giving thought to security ahead of time, somebody could remotely control your vehicle and that's absolutely not what we're looking for, being able to disturb the flow of traffic in a malicious ways, physically dangerous to humans. So those are the types of things that we have to pay attention to. Awesome. Can you talk a bit about how the open source community can help with tackling all these challenges? Like how can we? Because open source, it's kind of rare in the industry, right? So just a bit about how we can help take over the space as well, basically. Well, Edge, again, is this big broad space. It's got all these different definitions. Sometimes I use the analogy of an onion where every layer of the onion has an adjacent edge and it depends on kind of your perspective, where you are, what that edge means. In that context, that means there's different types of devices, some are really small, some would be in the remote office, branch office, it's actually probably a half rack of server gear. It looks pretty traditional, like data center infrastructure. So in one dimension, it's keep hacking away, keep doing interesting, clever things, especially to me, the maker space is a space where creativity happens, often connected to smaller form factor hardware, how we do that enablement in projects like Fedora and associated projects around it so that we not only operate on the hardware but bring interesting applications to those environments, which could be for fun, it could be for home automation or something, that there was a cool project here in the Boston area, I think it was out of MIT that was focused on localized farming, so you could build a little farm in a box, put something like a small little Raspberry Pi device in there and control the environment, the water flow, the nutrition to the plants and it was intended to be a way to improve access to nutritive plants for humans. And that's something you can do in your house. So that notion of creativity and hacking is, I think, really important in this space. And one of the things that I was working on at my house was just a simple video analytics thing where I could recognize our dogs and use an actuator to open a dog door so that we could let the dogs in and out of the house without having to physically let them in and out of the house. Partly a project to try to get my kids interested in, I guess you'd call it edge computing, but those kinds of things really, it may not be obvious that there's some kind of a broader commercial application and I think that's totally okay, like it's just fun and it's experimentation and that's what stretches us forward and all of that fun and experimentation happens, I think today, a lot of it is actually in open source. And then if you think about the fact that many of these use cases on the edge are data-centric. Thinking about how we manage process and produce models and distribute models, machine learning models across this broad infrastructure is super important. There's some hard problems that I mentioned in security, there's some other hard problems around privacy that we don't fully understand what the solutions look like and in the future, we'll need something that looks like privacy-preserving, totally federated or distributed learning systems. Today, you tend to learn more with centralized data and then you can distribute inference out to the edge. What happens when we can do distributed learning across the edge and these are interesting areas that we don't totally understand yet and ripe for both research and just experimentation and open source community. So I think there's just a bunch of different areas that actually will have applicability to other use cases but also really help us advance the state of the art of what edge computing is. I love the project with the identifying the dogs and opening a door for them. Yeah. So does it identify only your dogs or will it just open for any dog? Well, considering it's a somewhat stagnant project, there's a famous notion of computer vision having difficulty disambiguating a blueberry muffin from a Chihuahua. I don't have a Chihuahua but I can only hope that it would identify at least more likely my dogs than say a raccoon, because there aren't a lot of other dogs in my neighbor in my backyard. But yeah, having the right training data set is really important and gets back to the what do you do in open source communities? There's a whole next generation of learning concepts around foundation models and how you can take basic models and train them with smaller sets of data and still make them as impactful or more impactful than large sets of data trained on one problem domain. So I think there's interesting applications in there and so there I could use a smaller number of pictures of my own dogs to train the system to be really effective. I would have no shortage of pictures of my dogs. I tend to take a lot of pictures of my dog. Oh yeah. So thinking back like five years ago, there are certain things that we're just so used to today that you couldn't have even imagined. Maybe 10 years ago, like Uber for instance. So do you have a sort of vision of five years from now? What's gonna be the next? Like I know what you're asking. The short answer is no, I have no idea. But it's an awesome question and it's part of where we do that creative thinking. And I often use this analogy, which is basically 10, almost 15 years ago, we didn't have smartphones and we didn't have clouds. Today, you can't really imagine life without those things whether it's explicit or implicit. Pretty much all of us are using phones and those phones that have apps that are all backed in the cloud. Apps like Uber or other kind of shared economy world which over COVID was like how we actually existed in many ways. So what I'm confident about is what we're building now is the foundation for 10 years from now the things that we will be completely taking for granted that we look back back how do we live without those things? Exactly what they are, I'm not entirely sure but I think the notion that we're instrumenting the world a physical world, applying compute to that instrumentation and then changing our lives, the buzzword there is like real time decision making for businesses, changing our lives as a result of that instrumentation and application of compute, that's very real. It's happening already. There's these notions of things like smart clothing that could tell you quickly give you insights into your health whether it's mental health or physical health and give you recommendations of things you should do get a better night's sleep, get hydrated, get different forms of exercise. Those are things that are already starting to happen and of course there's this hyped thing called a metaverse, which to me is some combination of AR, VR sorry augmented reality, virtual reality and distributed transaction processing. What that looks like and where edge plays a role in that is not entirely clear other than I'm sure it plays a role and you can imagine a future where that highly instrumented blending of the virtual and physical worlds is just what we take for granted. It's a little science fiction, which is where it's hard to say what will it really be? Cause you can imagine things that might be fun to think about and then have no real application to our lives and then other things that you weren't even thinking about emerge as the biggest thing. So that part is difficult to predict but that blurring of the physical and virtual world is what's happening. On the one hand, it's a little unnerving because we've all read the science fiction books that the outcomes are never all that great but on the other hand it's what we're doing. So how do we make that create positive outcomes? And I see a lot of great application for, the world is getting to me more and more dynamic. It's changing more rapidly whether that's economic cycles or whether that's human societal engagement or whether that's the environment that we're, the environment of the planet, which means getting more information about all that change and being able to respond more quickly, not on decade cycles, but on daily, hourly, moment to moment cycles, I think becomes really important. Probably a big part of our future success on the planet as humans. So to me, it'll be something in that space. I just don't know what, as soon as I know it'll be too late and we will have missed the pipe cycle but we'll be able to recognize it in hindsight. Yeah, yeah, yeah. I actually can remember life without the internet and my kids, if you would say that to them, they would, they cannot imagine life without the internet. Yeah, a show only comes on at a certain time of the week and you have to wait for it. And now we're actually talking about walking into a store, filling up your cart, bagging your groceries and walking out and somehow magically, your groceries are paid for without ever checking out. I think that's what we're gonna look back on five years from now, we're 10, and be like, do you remember when we used to have to wait in line at these grocery stores, it was crazy. I was a cashier for a long time, so it's close to my heart. Yeah. How are we doing on time? Yeah, we're basically on time. So right before we wrap up, is there any takeaway you would like the audience to take away from the conversation we had about Edge Computing? Go ahead, please, sorry. How is it utilized in the education space? Oh, that's a great question. Do you, let's repeat the question. So his question. How is Edge Computing and IoT being utilized in the education space? The most honest answer is I don't necessarily know. The areas that I'm aware of are certainly, if you think of one form of Edge Computing would be distributed learning, not model training and learning, the humans learning things through video conferences and things like that. The video conferencing infrastructure is a form of form of Edge Computing. What I don't know is where there's efforts to bring compute into, say, classrooms and improve the learning experience of students. I do know that classrooms, sorry, schools have been creating maker spaces and maker spaces, to me, are an example of what I was talking about earlier, how we could apply open-minded creativity, which you'll get a lot out of, especially younger students, to these, like, here's some technology, what are you gonna do with it? But I don't know, I'm not a super expert in the education space, so I don't actually know what great applications of Edge Computing are in schools. I mean, it's a good area to, maybe you should come and give a talk on that in the next summer. I have one example, because my daughter will be taking a human development course in high school, and they have these babies that are smart and you take care of them for a week and it monitors how much you've held them, how much you've fed them, if they cry, how long it took for you to, so the baby is an Edge device, a very smart one that can help the next generation of parents. So no longer a bag of flour. It's no longer a bag of flour, yeah, no. That's really funny. There you go. And the data goes back to the teacher, it's incredible. I couldn't believe it when she told me. Yeah, great question. So sorry, we're a little running out of time here, but feel free to catch Chris after our conversation here. He'll be around for a bit, and you can ask him your questions. Just before we wrap up, a quick takeaway for the audience about edge computing. Sometimes we should be excited about it. Well, it's a little esoteric edge computing, and so don't think about it as some abstract thing that you can't participate in. Think about it of what would you do with a computer in a remote location? A lot of it is data-centric and to that point, much of it is computer vision focused, which is an exciting space. So there's just a ton of opportunity and we'll all benefit from you providing your creative input into the process of helping define what edge computing looks like as we roll forward. Awesome. Thank you. Thank you so much. Have a great conversation. Thank you Chris. All right, thank you all. The sessions start at 10.30 in the four rooms. If you have any questions, find someone wearing a volunteer t-shirt or an orange lanyard and we can help you out. And if you have more questions for Chris, he'll be around for a bit. Thank you all. Hope you have a great conference.