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Well, this episode, you know, I think it's going to be the last episode we do this year,

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at least that I know of, you know, we'll see if it's not. And we come across one that is

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scheduled that I don't show up for. I didn't know about it. So I hope this is it. So I thought we

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would do the classic thing in a format that I think will be more palatable for us to do it.

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And that is, we'll do not only some predictions for next year, and just in case you're listening

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to this in the future, 2023 next year, I'll let the listener do an exercise to figure out what year

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this is. And, and not only that, like I have to do these prediction thing have to, I am asked to

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participate in prediction stuff frequently. But I thought what we could also do is the our hopes

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and dreams, because the prediction is sort of like, you know, what the real prediction for next year

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always is, is probably pretty much the same thing that happened last year. That's, that's, that's the

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kind of, that's, I've tried to get away with that over the years sometimes. And people don't like

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that. But it is fun to say what your hopes and dreams are. So I thought we would come to that.

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And so we have, of course, the three of us are here, Coté, Ed, and Ben. And I thought I would

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invite our friend, ChatGPT, to also give some of its predictions. So I've asked it, I will do it last,

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since it's not human, and it can't be insulted. But the prompt that I had for it is, can you write a

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2023 predictions piece? It should be predictions for CIOs at large organizations, paying attention

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to what's happening with cloud, low code and security. So we'll get to what ChatGPT thought

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for a while, I fed it a little more things to kind of prime its pump, as it were. But I'll start off

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since I sort of gave this to you two, about a few minutes ago. So now you can think of something.

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So here is, you know, my sort of easy projection of predictions, and it's a little bit of hopes and

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dreams, we'll do hopes and dreams in the second round, is I think that there will be much evolution

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of the platform engineering idea. Because I think, you know, to go over it slightly, I think it more

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or less, you know, it was kicked off long ago, when when Spotify, several years ago, released its

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backstage thing, and started developing this notion of an internal developer platform, which is really

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just to put it in a brief snarky way, an evolution of the Atlassian portfolio, with a few more things,

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but it does seem like prime to kind of like, replace that. I don't know if that's good or bad.

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But that's, that's a, that's a question I was asking, you know, one of my analyst friends who

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cover software development, Bola, in a Twitter thing is like, maybe I wasn't this direct, but I was

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like, shouldn't Atlassian be doing this? So I don't know, we'll find out. But I think just, you know,

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as far as like an internal portal or collaboration thing for developers, it's really evolved into sort

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of like, here's like, a framework, or a platform, if you will, for building like, this is not the right

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thing. So this is the other thing is we need language for this, but the single pane of glass,

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that developers would use for existing in their inner developer community, right? In other words,

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the internet that developers use, but behind their own firewall, and there's all sorts of stuff going on

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there. Plus, you bring in all of the stuff of actually running the platform, which I'm still

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not quite sure if that's part of platform engineering, as we know it nowadays, or if that's what the site

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reliability engineering people do. We've got to sort that out, right? Because I feel like

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I should go back and talk to the people in our community who have been doing this,

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excuse me, for a while, and see if they have time to actually run and troubleshoot the platform

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while they're treating their developers as customers and building their stuff. I kind of

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suspect that's a lot to ask for one team.

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But we'll see. Of course, unless they're using Cloud Foundry available in the Tanzu application

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service, in which case, they can eliminate the need to run a lot of their stuff. Hopefully,

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that will be the case with the Tanzu application platform as well, especially now that there is a

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Cloud Foundry like interface on top of it. But whatever, we'll see. We'll see how that evolves.

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But yeah, I think there's enough interest in platform engineering now. And I think people are

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over the hump of getting Kubernetes up and running that hopefully, finally, will coast back into the

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developer layer of the stack and see how that goes. So I think the way to test this out will be,

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one, that idea is used more. But whenever the next round of talking about platform engineering comes,

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whether it's the conference that Humanitech puts on or just kind of at DevOps days or in conferences,

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there should be a lot more talks from like big end users about what they've been doing there.

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So that's my one prediction. How about Ed?

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I'll just say, so I can paraphrase your prediction, Ed. It's not the same as last year. We are indeed

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going back to 2000-ish. So we need a developer intranet and developers and ops are going to go back to

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being developers and ops. Am I right there? We're sort of undoing everything, right?

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We've put stuff in and now we're like, you know what? We do need operations teams. There's

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operations teams, whatever we call them. But it's more than the web ones.

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That would be a great panel. Maybe we should, you know, people don't like the word webinar,

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but what are you going to do? That maybe I should propose like a webinar panel. We can bring maybe

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some, not outsiders, whatever, but maybe it could only be VMware people. And we'll say like,

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so is dev and ops going to be separate? Or we should say, practically speaking,

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are dev and ops as we know it actually separate? And, you know, that would be the whole prompt,

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right? Because of course, you've got to have like 30 minutes of setting up context and nuance and it

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depends and all of that, which we can maybe just edit out of the recording because that stuff's always

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boring. But it is, I think that is a question that largely has been unresolved. There was that time,

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y'all must remember, when would this have been? Maybe even five or four years ago when Gartner

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came out with its bimodal IT thing and the DevOps people just freaked out. Like that was the last time

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I think this, we were allowed to ponder this question. But then the DevOps people came in and

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just like carpet bombed that whole notion. And you're not really allowed to think about it anymore,

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which is unfortunate. But yeah, I think a good summary. Now, what do you think? What's your

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prediction for 2023 yet?

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Which I've had to think of five. So I don't have any great predictions. Let's go with,

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it will be the year of edge. I'm actually not convinced it will be in a way, but you know,

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Oh, that's good.

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It's leaking ever nearer. It's a bit like, you know, the year of the desktop, isn't it? Or the

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year of Linux or whatever it's going to be sort of Linux on the desktop. Edge has been talked about

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for what, probably six, seven years at least, as that was going to be the inflection away from

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centralized clouds, hyperscalers, having everything on cloud. Actually,

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edge meant it was going to go back towards some on-prem, some more distributed cloud.

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Now there's cloud, all these different things. But I haven't seen a huge amount of it in a way.

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Lots of people had edge and then it kind of went away. Then people have tried to get their taxonomies

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of what edge is, thin edge, thick edge, all these different bits. And you are starting to see sort

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of more products, especially in the Kubernetes area, you know, lightweight versions of Kubernetes.

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But it still doesn't feel like it's gone as sort of mainstream as everyone said it would.

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Maybe that's just me, right? I'm sitting in a vendor. I'm not out there in factories and retail.

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I know it's all there, but I still just haven't quite seen it as the big thing it was meant to be.

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I wonder if I'm talking about it five years from now.

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I like that because I think using my funny thing of what's going to happen next year is more of what

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happened this year. I feel like this past year, and you probably read about it more than I do,

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but I finally have figured out that edge isn't just some goofy marketing thing. And to personify it,

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I think that edge has figured that out. My sense is that there was a long time where edge was like,

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part of the 5G PR initiative, right? And then maybe like cars or something. But then I think what

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happened is there's an old category that when I was at Dell, we would delightfully called robo,

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which is remote office branch office. And I think maybe that's been pulled into edge.

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And then we have a few use cases. Well, I don't know if it's named or not,

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even though it's a named customer of ours, so I won't name them. But there are certain, as they say,

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logistics companies that use edge stuff in warehouses, right? And so I think there is an

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appreciation of edge. I think Kelsey Hightower had a tweet that edge just is a new word for private cloud,

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or whatever. But I think maybe what it means is small, not public cloud cloud, which is fine,

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right? It's totally cool. And I think how I came to accept this category of edge of not being just some

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goofy thing is that like there is a category of like a small data center, whether it's in a car or like

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a office that is something, right? And if you run it in a cloud native style, it's different than just

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older systems that it's probably worth thinking of that as a category because it probably has its own

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unique needs and constraints. And therefore, pardon another marketing term solutions that it requires.

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That's my recap of your prediction.

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There we go. That's fair enough. So more of it and still no clear, is it the year of edge or not? No,

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I'm near of a bit more of it. Yeah. Edge reach escape velocity. Edge escape jumps over the edge.

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You don't want to jump over the edge because that implies you fall down.

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I don't know. How about yourself, Ben? What's a prediction for next year?

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I want to riff on what you were talking about, really. I think consolidation is my prediction. And

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what I'm hoping will get consolidated is the various aspects of things that have gone before. So we had

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we had the whole platform as a product thing. And I think the consolidation that I'm hopeful about

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is that developers, security and ops do kind of coalesce around a common sort of platform,

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common way of doing things. That's why I'm that's why I'm so invested in the in the Tanzu application

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platform, because I really believe in that vision. And I think that we're starting to see this sort of

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the roots of that in more discussion of platform engineering. So, you know, having developers being

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able to use a single pane of glass based around backstage, which everybody seems to really like,

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I really like it. I'm looking forward to learning more about it. Also having, you know, supply chains

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in the mix. I think that's really useful as well. You know, so we can try and cut back on some of the

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sprawl that we've seen around things like build pipelines, but also add in there the extra stuff

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that is required around security as well. So, so sort of having DevSecOps, but as part of platform

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engineering and and where it's consolidated and and unified around a vision of the world that helps

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folks to just get stuff done more easily. So I'm really looking forward to that. And I think

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next year will be the, I'll be a really good year for that sort of stuff. I think it will be,

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it will hopefully accelerate and we'll, we'll pick up some pace and we'll, we'll also pick up some folks

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who, who share that vision as well. I like that. Like, I think there's a common thread in, in,

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in our three things, if I can try to common thread it, if that's a verb. And that is like, boy,

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can we stop the analysis and just build the stack, right? Like in, in the sense of like,

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there's all of these different components or definition of what edge is. And like,

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it'd be nice to, uh, try to hop over to use the diffusion of innovation, you know,

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Gartner hype cycle thing. Like let's, uh, let's use the, the upward, you know, ramp to just get to

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that plateau of productivity and just start working on stuff rather than spending all this time

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sorting out what, uh, what works and doesn't work. And, you know, I, I had to, I had to say,

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Ben, as maybe you're, uh, uh, it's not our fiscal year isn't over yet, but calendar year 2022,

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uh, performance review. I think you've been doing a great job, Ben, like just finding all these little

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parts of our stack and big parts and making, uh, educational videos about them. I think it's,

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it's nice. Like the, uh, the backstage one recently was, was impressive. I, I can tell

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you spend a lot of time on that because like me, it didn't take you two hours to explain like, uh,

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uh, you know, 10 different things and demo it. It was well thought out.

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That's, that's, that's, and the reality was that there weren't many hours spent on that.

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So I was feeling for someone else.

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Ah, that's the best way to do it then.

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So I got sort of, yeah, it was a very deep end sort of thing, but I am,

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I have only scratched the surface there and I am really looking forward to, uh, to going deeper.

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Just before we, we started talking on this show, I was working on, um, I was working with someone

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else on a script that have some videos that they're going to produce around, uh, backstage. And, and

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there's so much debt, there's so much more to say about it. I, I only scratched the surface in that,

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in that last video. So I'm looking forward to doing more of that for sure.

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Yeah. Yeah. Yeah. I'm, I'm, I'm, you know, I'm, I've learned over the last 20 odd years,

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I should never promise anything that I'm going to do in the future. Uh, that's, that's always

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terrible, but like, I, I think it'll be good to get some more, uh, backstage talk on, on this.

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Cause I think it is like, you know, a good platform for building stuff out or, you know what?

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I don't even know if it's technically good. I'll have to take people's words, but it seems to be

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what people want to do, which, which is as, as someone who only makes slides, that's what I care

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about. Uh, so that's, that's, we have that. All right. So as promised, let's check in with our

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friend chat GPT and see what their prediction, uh, for the years now, part of the prompting that I did,

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as I said, you know, it could use some forecasting from Forrester and Gartner about things. And as,

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as is a good disclaimer with all chat GPT things, I did not actually go fact check any facts that it's

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included. So it could have totally made this up, but you know, maybe, maybe, uh, you know, you probably

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have a sense for this stuff, Ed, maybe you can do some casual fact checking. Now it is prediction

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piece that wrote, you know, that obligatory first paragraph of just nonsense, which is good, good job

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for it, but let's, let's go to it. I like its little style here. Uh, first let's talk about the

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cloud. According to recent forecasts from Gartner and Forrester, the global cloud market is set to

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continue its rapid growth with spending on cloud services and expected to exceed 500 billion by 2023.

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Again, I don't know if that's true or not. This growth is driven by a number of factors,

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including the increasing popularity of cloud-based collaboration and productivity tools,

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the rise of remote work and growing demand for cloud-based data and Linux and machine learning.

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I still don't know what it's predicting CEOs at large organizations must be prepared for this continual

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growth in cloud and must consider how they can take advantage of it to improve their own operations.

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Additionally, they must consider investing in cloud-based data, Linux data analytics and machine

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learning. So it really hasn't made a prediction. It's just saying what you should do. And I must say,

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however, the accuracy of this prediction, I think according to our rule is probably 100%

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because this is basically what you should have done last year as well. So I used to write essays like

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this in high school and I would get a solid B plus because the notes from the teacher would say,

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very well reasoned, but this was not what I asked you to do. So we'll give this prediction a B plus.

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All right. Well, so the next round is the old hopes and dreams, which I have learned when you write a

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predictions piece, this is what you actually need to kind of weasel your way into writing because no one

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wants to predict stuff. You just want to tell people what your hopes and dreams are. And I think

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I think, I think my hopes and dreams for our space is, I mean, I've already alluded to a little bit,

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but I think it would be great. And I mean, I'm kind of, I'm coasting off what you were saying here a

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little bit, Ben, but I think it would be great if we started to standardize a lot of the stuff in the

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stack. Right. And like, and, and what we've seen, I believe is that all the container-based stuff

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and the infrastructure layer for people who care about applications development. I mean,

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I don't think there was a vote or anything taken, but like, everyone's basically like,

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yeah, we're going to use Kubernetes for that. And even, even if it's not the case, like,

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I mean, last I checked, I think estimates about the total number of workloads that are running on

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Kubernetes is something like, I don't know, 10 or 15%. I guess it depends how you count it.

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If you're counting like sheer processes, it might look different than if you count applications,

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who knows? But for example, I saw a, um, an estimate from IDC that there's like 500 million legacy

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applications running in the world. So I assume there's at least 500 million applications that

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are not running in Kubernetes. I don't know. My point being that it seems like people have agreed

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that Kubernetes is the way of the future. However, I don't think there's much consolidation about what the

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overall platform looks like, nor even what the language that we use is. So it'd be great

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if there was further, just like, oh, we're just going to use this way of doing stuff instead of

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kind of like debating a bunch of different, uh, things for it, you know, even having the language

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of what we would call application lifecycle management or the software delivery lifecycle,

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whatever all those tools are. I mean, I really hope it's not going to be internal developer portal,

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because not only does that sound horrendously boring, but it has the word portal in it, uh,

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which is just like, I don't know. I've made this joke before, but I think if people,

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whoever is using the word portal clearly didn't live through Java enterprise stuff in the 2000s,

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uh, because you, you would never use the word portal again after that. Uh, it just,

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you know, I don't even like to say it, or maybe, maybe the video gamers though, Coté, you know,

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portal, amazing video game, right? Oh, okay. Okay. I guess, I guess maybe since the days of J2EE,

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there has been a, a, a deep cultural acceptance of sci-fi time travel and fantasy nerd culture,

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it's, it's gone mainstream. And so maybe the word portal now has very positive associations

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to it because it's like a portal into fun and enjoyment and even culture. And so, uh, I'm,

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I'm just the old here. No, it's just the game. That was the only good tip.

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Yeah. Doctor Strange would be hella boring without portals, right?

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That's true. And that, that, you know, I, I think, I think that, uh, that Spider-Man movie with,

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with the, the time travel and the dimensions, that was pretty good.

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So portals are good, just not in the actual IT world. Yeah.

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All right. Well, how about yourself, Ed? What's your hopes and dreams for,

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for calendar year 2023? Funnily enough, I was thinking along very similar lines,

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because I was going to say, I just want to be able to push a button and have everything work.

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You know, I'm kind of fed up in a way of, I do bits of hands-on work and it's like,

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I've got to figure this, sort that and sort this. And there's just tons and tons of it. And occasionally,

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especially when you want to get your marketing and your slides done, right? Which I always do as

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well. But this is just a chore. This is a pain. And there's eight different versions of that.

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I want to try out and learn. So I was like, I just kind of want that to get simpler.

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But on the other side of it, actually, I would get bored if that happened. I've actually loved the

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last few years, because there was a point when I did get very bored of IT. And I mean, we're going

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back 20 years or something. So probably pre vSphere and things in a way, but it was like, hey,

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there's another version of Windows, whatever. There's another version of it. There's no excitement at

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all that. Another smooth upgrade. How boring.

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Yeah. Exactly. Actually, you know, the last, whatever it's been, five, six years, more than

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that in a way, there was suddenly a load of new stuff. And the whole cloud native thing, at least

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for me, has been a really good journey of learning new technologies. There's a wealth of stuff. There's

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always more to learn, but it got me more engaged. And now it's platform engineering and there's a whole

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layer that goes on top. So once you scratch that little itch of, I need to know about Kubernetes,

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it's like a Mandelbrot set. There's an infinite amount to learn. And my kind of geek brain likes

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that. I like having new stuff. I can go also that area over there. And you know, it distracts me from

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my work, even that kind of ease work. So I could spend weeks learning about backstage when actually

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I need to know the top 10 things and that might be it. But, um, so yeah, my hopes and dreams, I suppose,

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more of the complexity, but I don't get fired for not doing the right things.

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That's, that's, yeah, I like that last part. That's, that's always my, that's my constant

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hope and dream always. But, you know, you know, you're reminding me of like, I don't know if it's

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a theory, but this thought that I have in the back of my head. And since, since, you know, in, in your

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area, you, you, uh, week to week cover closely everything that's going on in the cloud native space.

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And, uh, you know, you're evolving the theory I have in my head. And this, this, this, this line of

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thought is that it's kind of impossible to cover like the cloud native space because you can't just

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like spin up your own lab to actually like compare and contrast different cloud stuff. Like if you are,

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it just, it wouldn't be economically feasible to compare the different Kubernetes distros for private

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or edge. Like, how would you even do that? Right. And, and therefore it's just like the way that,

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for example, analysts and others cover that stuff is, I mean, the first word that popped in my head

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was fraught, but it's really hard. Like all you can go off is like your intuition and what people have

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told you, like, I don't know. It's, it's different than like testing out word processors. Right. And

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however, what you're saying does get me thinking that like, this is an area where public cloud

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theoretically could be different because that's the whole point of public cloud is you can do that

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like very easily. And so it's almost, it almost makes it extremely difficult to compare public cloud

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to like private cloud cloud native stuff. Because a lot of the times, if you were like, I got to write

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this report, it's got to be out in like three days or a week. And it's going to take me that long.

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I mean, like, and that means that I need to basically test the stuff out in a day, because then I got to

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think about how to write this stuff up. Then I need several rounds of edits. Then it's got to go into

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like frame maker to do the formatting. And then I got to do the final proofing. And so like,

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I basically have a day to test this stuff out and you can't do that. So it's, I don't know, difficult.

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I mean, you know, AWS probably have 120 releases a day. It's just infeasible to keep up with one,

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let alone three, six, 10, 100 different companies releasing things, different projects, which is

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great, right? That's what keeps my brain going. But it's getting very hard to do. It's sort of a very

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noisy environment, compared to previously, you kind of just knew it's three main options and

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the rest are irrelevant. That's right. So, so, so Ben, when you, when you're not experiencing a

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smooth upgrade, what, what are your hopes and dreams for the, for the coming year?

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I, I really hope this is the year of the Linux desktop, specifically known desktop.

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Oh, wow. Going deep.

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I'm going deep. So I've been using Linux known for a long time now. It must be like nearly two years or so.

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So, so I've, so I've done the trifecta. I've done the windows. I've done macOS and now I'm on Linux,

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uh, known, known desktop, uh, with Fedora hat tip to our friends with the red hats, uh,

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for, uh, for, uh, for creating that. And, and I love it. Right. And the reason I love it is because

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I think every developer should experience it. And the reason I say that is because the known desktop is so

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productive, it's ridiculous. It's much more productive than Mac desktop. It's much more

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productive than windows desktop. And you get access to all the tools that are already running 99% of the

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cloud. So why you would come out of that ecosystem for the sake of a desktop baffles me. You might as

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well give it a try. So if you haven't tried it, please go and try it. Give it a try next year,

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make it your new year's resolution to give known desktop a try because, uh, it's very, very,

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very productive. And I think as we care about developer productivity, we should also care

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about which desktop environment they're using and not having to jump through as many hoops to, uh,

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to do their work. So try it. I think you'll like it.

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That's, that's a good one. I like that. You know, what I think about this every now and then I used

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to use, I don't remember which windowing manager, but some X windows thing way, way back when. And

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the, the, the, the number one thing, at least that I remember that I miss is, is you could set up

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the exact layout, like pixel perfect of all your windows and like save that. And then basically like,

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you know, every time you would, you would start again, it would just like open up all your windows

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exactly where you wanted them. And I don't know, maybe there's a way to do that on, on the Mac,

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but like, it's definitely not built into the system as, as far as I could tell, let alone

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like some text file, I could just move around and putter with, but yeah, that was good stuff.

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If you want to revisit those heady days, Coté, then you could try, uh, I think there's a Fedora spin

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with the i3 window managing desktop in there. So there's no regular desktop, just i3 window

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manager. And you get exactly, I think what you're describing. So yeah, you could relive those heady days.

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Uh, for me, that would probably mean going back to when I had hair.

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I'm not sure I want to do that. Uh, a different type of heady day.

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Hair was a fact. I seem to remember paying people to cut it. I seem to style it into various different

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shapes. Uh, you know, uh, usually laboring under the, uh, uh, you know, idea that somehow it made me

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more attractive. Uh, I don't think that was ultimately true, but so yeah, I think, uh,

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yeah, you could definitely go and revisit those heady days if you want to do, but I, I love known

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desktop and I, I think folks should try it. I really do.

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Well, I don't mean this to be an ad, but it's just because I was catching up with my old friend,

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Bart and George yesterday, but have you ever checked out the, the Dell developer laptop

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that like ships with, uh, with the Boone channel? What do you think of that?

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Yeah, I think that's brilliant. And it, and Dell are not the only ones who do that. Now you can buy,

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uh, laptops that way from HP and Lenovo as well. So they've come ready shipped with some sort of

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flavor of, uh, of Linux on there. Usually Ubuntu, uh, 22 Ubuntu uses known desktop. So

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okay, good. You'll get exactly that experience. So yeah, I think it's brilliant.

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Yeah, I was, I go ahead. I would say my last experience with Linux desktop, which is

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going back quite a long way. And the difference is probably, I wasn't a developer, so I was tinkering

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and learning it and all that was, it was the least productive thing I'd ever done,

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purely because it let you tweak everything. And you know, I'm having to figure out your monitor stats

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and fine tune all the various parameters to get your screen looking right. But you could spend weeks

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tailoring either the UI, swapping everything in and out, trying to make this thing look nice or do,

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it didn't make any difference in the end. So I just went, I'll pick one of them. I'll have a Mac

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or a Windows or whatever. Um, but that was because I wasn't doing much with it. I was playing with

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it and learning it and configuring it back when Linux needed that and everything else just installed it

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and it worked. I think, I think it's, it's, it's, it's like a lot of these, these tools,

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like the AI stuff now where you're like, this tool is going to make me so productive once I figure

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out, once I stop figuring out how to be productive with it. Like too many, too many needles and

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bells and whistles, none of which I actually needed or did anything useful with, uh, just

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good distractions.

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I think Linux ties together all the threads of everything we've talked about today. You know,

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if you're going to be on edge, then you might be familiar with like a Raspberry Pi device or

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something like that. Linux desktop, right? If you want to run your like Raspberry Pi with a Linux

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desktop, you can, you can even get that shipped with, uh, Ubuntu or Fedora as well, or just use the

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regular Raspbian.

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You know, I, you're, you're, you're solidifying something that, uh, I've had in the back of my

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head, Ben, which is you are, you are a Linux fan. Like I, I, uh, I, in fact, let me, I think I only

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know, well, no, you're the only surviving Linux fan desktop Linux fan that I know. And I don't mean

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that in a bad way. I, uh, uh, it's, it's delightful. You still use that. There's probably

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some people, there's probably some people on my developer relations team who actually are. I just

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don't know of it. So whereas I know about you, you, you should do some videos going over, uh,

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Linux desktop stuff. That'd be great.

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Maybe I should. And, and maybe, uh, for any of Coté's friends who know him, who are on Linux

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desktop, just drop him a line and remind him who you are so that, uh, so that, uh, so that he can

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put names to faces and all that.

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Well, well, you know, you know, maybe I should have Barton on here because I actually have

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like a, uh, unexpected history in the Linux desktop stuff. Like way back in 2010, I was one of the

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three people who was like running the, uh, the internal innovation like thing at Dell. And that

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Dell developer laptop was, was the main thing that we, uh, selected and funded to, uh, to launch.

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And, uh, that, that Barton there launched with everyone else. And the whole premise of it was

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that when I started working at Dell in 2010, like the number one thing people would tweet at me or

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write at me is like, Oh, can you get them to finally like make a Linux desktop that I can just order?

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And then, uh, that's what we did. It was, uh, there was a fun, like, um,

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it was also a good, a good, uh, lesson in the idea of doing lean startup stuff, which is to say,

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don't presume to know what you, what features you should have on your software. Cause we had one

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big feature that was actually inspired by pivotal labs at the time, uh, that we spent a lot of time on

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that turned out to be just a total dud that we should have, uh, done more incrementally,

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but whatever. I'll, it, I, I want to, I want to have him on here to kind of go over, like,

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how do you do internal innovation at a big company? I think it would be a fun discussion for him. Well,

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I, I didn't, I was scrolling through, I didn't ask our friend chat GPT to do a hopes and dreams thing,

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but I remember that I gave, I gave, uh, I gave him a prompt to do a unexpected, you know, you know,

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when you write an essay, uh, Ed and Ben, it's one of the things they teach you in intermediate, uh,

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rhetoric is that it's fun to put an unexpected surprise in the conclusion, something that is

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related to or unrelated to the topic that you went over. That's a little, a little delight, uh, at the

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end. And so I always try to not always, I frequently try to do that in my writing and I prompted it to

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do something. And so here's your, your, uh, your unexpected thing at the end, uh, from our friend

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chat GTP, uh, which is as an unexpected bonus, here's a hangover cure for all those new year's

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Eve celebrations. Try drinking a glass of water before bed. And then another one, when you wake up,

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this can help to rehydrate your body and flush out the toxins that cause the symptoms of a hangover.

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Additionally, eating a small meal before bed, such as toast or crackers can help to absorb the alcohol

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and prevent your blood sugar from dropping too low. Now I did not fact check this. Uh,

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but this is, this is just what the, uh, the AI generated as a delightful, uh, maybe this is

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a hope and dream, uh, at the end. I think, I think dreams summed up as yes. I think there's only one

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way to fact check this. I think immediately after this recording, we should all go and get a bottle of

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hard liquor and hit it real hard and then try some toast and crackers, a glass of water and a snooze

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and see what happens. Some toast and crackers. Oh man. Uh, well, last one to sober up is the loser.

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How are you managing that observability there, Ben? What, what metrics are you using to check

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a hangover strength? I think, I think we'll do what, what, uh, what U S cops do and make you walk

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outside in a straight line and then touching your nose and all that sort of stuff, you know, closing

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your eyes and trying to grab something, all that kind of thing. Yeah. We all get drunk, then do a

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podcast, allegedly having had degrees of crackers and water and the, the voters, the, the viewers can

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decide who is the most sober. Maybe that I wouldn't be able to do this, but maybe for the more technical

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listeners, uh, the, the, the, uh, the D the, the drunk test is to see if you can from scratch deploy

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00:35:02,060 --> 00:35:07,500
an application to Kubernetes. And, uh, if you can successfully do it, maybe you're not inebriated.

370
00:35:07,500 --> 00:35:12,940
Now, if you can successfully do it and you are inebriated, usability is high. Uh, they've,

371
00:35:12,940 --> 00:35:19,900
they've done a great job, uh, on, on that there. Well, you know, not to, uh, not to brag too much,

372
00:35:19,900 --> 00:35:23,660
but if we're allowed to use the Tanzu application platform, I'm pretty sure I could do that.

373
00:35:25,020 --> 00:35:29,020
That's right. The, the, the, the Tanzu application platform is like,

374
00:35:29,020 --> 00:35:34,060
instead of driving your car home, you just, uh, you, you take the, the tube or the bus or,

375
00:35:34,060 --> 00:35:36,860
you know, whatever public transportation you have available.

376
00:35:36,860 --> 00:35:39,820
Thank you for the alcoholic platform. And that is not an official marketing name.

377
00:35:40,700 --> 00:35:48,140
No. Oh, that's good. Yeah. Yeah. Well, well, speaking of that, uh, I think, I think this will be

378
00:35:48,140 --> 00:35:52,060
the, uh, I, I don't think I'll come up with any bonus episodes to sneak into the feed,

379
00:35:52,060 --> 00:35:56,540
but this will be the last episode for the year. I think it's been, it's been great. You two do kind

380
00:35:56,540 --> 00:36:02,620
of rebooting this podcast. Finally, it's fun. I think, I think I am now the disorganized one

381
00:36:02,620 --> 00:36:07,100
who scrambles and does things at the last minute. It has to reschedule. You two are very reliable

382
00:36:07,100 --> 00:36:12,060
and professional about it. And, uh, which is what, what I always treasure in a podcast host. So I,

383
00:36:12,060 --> 00:36:17,660
I appreciate the work, uh, in, in rebooting it here and, uh, we'll, we'll be back next year with more,

384
00:36:17,660 --> 00:36:23,740
uh, news on more or less a weekly basis. And, uh, like I was saying, kind of interviews in the

385
00:36:23,740 --> 00:36:28,940
overall cloud native space and things like that. And, uh, you know, hopefully all y'all listeners

386
00:36:28,940 --> 00:36:34,140
will have then and people who view it will have a nice, uh, rest of the end of the year, a good,

387
00:36:34,140 --> 00:36:36,220
relaxing time. What I like about this time of year,

388
00:36:37,980 --> 00:36:43,340
not to be all boasty or, or whatever, but like th this, I feel like is the one time of year

389
00:36:43,980 --> 00:36:48,460
where you can be guilt-free about goofing off. You don't really have anything in the back of your

390
00:36:48,460 --> 00:36:53,500
head of like, even though this is, this is the sanctioned, uh, I deserve it time where I have

391
00:36:53,500 --> 00:36:59,180
vacation. No one else is thinking about work. So I don't really need to either. There's a, every,

392
00:36:59,180 --> 00:37:03,660
everyone can just take a break, which is, uh, relaxing. Of course, those of us who are parents,

393
00:37:04,220 --> 00:37:09,020
we still have that to put up with, but you know, at least, at least we don't have to, uh,

394
00:37:09,020 --> 00:37:14,220
worry about the work area. So, uh, yeah, have a good time. And if you want to get the show notes for

395
00:37:14,220 --> 00:37:19,580
this, you can go to tanzutalk.com and you should subscribe to it. And, uh, you know, the great thing,

396
00:37:19,580 --> 00:37:25,100
if, if, if you're by, if you, uh, if you're of, of the cultures that gift things to people during this

397
00:37:25,100 --> 00:37:30,940
time, uh, before you gift it to them or after you should get their device and subscribe it to this

398
00:37:30,940 --> 00:37:36,220
podcast, uh, whether they listen to it or not is inconsequential to the gift you will be giving us

399
00:37:36,220 --> 00:37:41,100
of driving more downloads. And you could also, whenever you're sending out your, your automated

400
00:37:41,100 --> 00:37:45,740
gift things, tell them, oh, and by the way, you should subscribe to the tanzutalk podcast.

401
00:37:45,740 --> 00:37:52,300
Uh, it'll be delightful. Uh, that's the gift you can give to people that we gift to you for gifting.

402
00:37:52,300 --> 00:37:55,020
And with that, we'll see everyone next year. Bye-bye.

403
00:37:55,020 --> 00:37:57,020
Bye.
