WEBVTT 00:00:00.000 --> 00:00:06.480 Music. 00:00:07.730 --> 00:00:11.390 Hello to yet another episode of The Sliding Windows. Good to have you all here 00:00:11.390 --> 00:00:15.330 live in Antwerp. Hello! Woo! Woo! 00:00:17.790 --> 00:00:21.290 I'd say the audience is already tired for a couple of days of conference. 00:00:21.610 --> 00:00:23.690 So, it's so good to have you here. 00:00:24.650 --> 00:00:31.130 I started this little project, Sliding Windows, I just recognized more than 10 years ago. 00:00:31.550 --> 00:00:37.190 Wow. And the first episode when I did that -that was with more or less a friend 00:00:37.190 --> 00:00:39.250 and a colleague of mine, Rolf Masuch - so 00:00:39.250 --> 00:00:41.570 greetings if he listens to us. 00:00:42.610 --> 00:00:47.110 And the first topic was PowerShell. But that was not intentionally. 00:00:47.510 --> 00:00:50.510 That was simply, we were excited about that. 00:00:51.290 --> 00:00:56.350 And so that was the first one. And then, that's a little side story that I never told. 00:00:59.070 --> 00:01:05.430 Then I reached out to June Blender. a great hero a well-known expert of the 00:01:05.430 --> 00:01:06.730 PowerShell team back in those days. 00:01:06.790 --> 00:01:12.850 She did a lot of technical stuff, technical writing but due to some appointment 00:01:12.850 --> 00:01:18.190 issues the schedule didn't work out so we had to postpone that and we postponed 00:01:18.190 --> 00:01:21.710 that until today. So June if you listen to me now, 00:01:22.670 --> 00:01:24.550 the invite is still open. 00:01:24.650 --> 00:01:29.230 I'm looking forward to meet you one day to do that so and then, 00:01:30.890 --> 00:01:39.270 I recorded a couple of sessions with various topics. And then I met Bruce, 2016, in Hanover. 00:01:40.010 --> 00:01:45.650 And I think that was the second that I recognized sliding windows will be a lot about PowerShell. 00:01:45.830 --> 00:01:48.730 So, okay, that's not too bad, isn't it? 00:01:49.130 --> 00:01:52.870 But that is the reason why it's not named PowerShell Podcast or something like 00:01:52.870 --> 00:01:54.930 that. That is owned by a colleague now. 00:01:55.290 --> 00:01:59.890 And I'm still open for different topics. but the most important thing in my 00:01:59.890 --> 00:02:02.390 life became PowerShell. 00:02:03.410 --> 00:02:11.650 And if you think about it, if you do something like this, it's obvious that 00:02:11.650 --> 00:02:15.250 one day you want to do that with a live audience. 00:02:16.550 --> 00:02:22.970 And then you think, who can I invite? Who will come? Have a look at the script! 00:02:23.190 --> 00:02:26.650 I couldn't decide that. So I ask PowerShell, 00:02:26.810 --> 00:02:35.750 who is at the same time outstanding in his or her experience and knowledge and, 00:02:35.850 --> 00:02:38.650 very important: entertaining. 00:02:39.810 --> 00:02:44.170 So, and that is what PowerShell gave me. Thanks. 00:02:44.250 --> 00:02:50.170 So let's say hello to my guest today, Chrissy LeMaire. Thank you so much. 00:02:50.570 --> 00:02:53.610 Thank you for inviting me on the podcast as well. 00:02:54.670 --> 00:02:58.610 I'm blown away that we can do that here. So thanks to the organizing team. 00:02:59.530 --> 00:03:04.430 It is not my decision that I'm here. You might think that is a bit crazy. 00:03:04.990 --> 00:03:10.270 He put himself on the stage. No, I asked if we can do that, if anyone is interested. 00:03:10.390 --> 00:03:12.770 And I'm very thankful that I can be here and that you're here. 00:03:14.570 --> 00:03:19.530 There is one thing, we know each other now quite a while in that PowerShell space. 00:03:20.610 --> 00:03:23.630 There is one thing that I'm really jealous of. May I say that? 00:03:24.450 --> 00:03:28.630 Have a look at the badge, at the flag. Chrissy, first question. 00:03:28.790 --> 00:03:33.990 How did you manage to get the European flag? You're the only one who deserves 00:03:33.990 --> 00:03:35.690 this honor. Please explain. 00:03:36.270 --> 00:03:39.890 I think, well, first of all, my last name is LeMaire. 00:03:40.190 --> 00:03:47.190 And I feel European, even though I may not be from Europe. Well, my ancestors were. 00:03:47.410 --> 00:03:51.990 And so I felt that it was a proper representation whenever they put, 00:03:52.030 --> 00:03:54.770 you know, know the American flag there that is where I'm 00:03:54.770 --> 00:03:57.650 from originally in Louisiana but it didn't 00:03:57.650 --> 00:04:03.770 feel like it resonated I had been here for so long so I asked Gael if he would 00:04:03.770 --> 00:04:08.630 use the European flag instead and he said yes and it just feels good it feels 00:04:08.630 --> 00:04:13.870 right I mean that photo was taken in Mons Belgium where I lived for eight years 00:04:13.870 --> 00:04:15.770 and I feel like that's my second home, 00:04:16.910 --> 00:04:20.170 It's a bit of a sad story, if I got it right. Correct me if I'm wrong. 00:04:20.390 --> 00:04:26.750 You're leaving the European Union now, or you already left towards the United Kingdom. Is that true? 00:04:27.590 --> 00:04:29.610 It's something that I would like to do. 00:04:32.830 --> 00:04:38.270 That's not Europe anymore. Have that in your mind. I know. That is a sad story. 00:04:39.210 --> 00:04:45.290 But yeah, I, you know, my wife grew up reading all of those, 00:04:45.430 --> 00:04:47.690 all like the British books. 00:04:48.210 --> 00:04:52.930 And she really loves British culture. And I've been very fortunate to have somebody 00:04:52.930 --> 00:04:57.130 who's very supportive of me moving all around to, you know, work at whatever 00:04:57.130 --> 00:04:58.970 job that I want to move to Germany. 00:04:59.210 --> 00:05:04.950 I was here in Belgium. And so the next place that she would like to go is the UK. 00:05:05.130 --> 00:05:10.750 And And in 2017, I actually went to Glasgow and absolutely fell in love. 00:05:10.970 --> 00:05:17.050 There's this artist named Paolo Nutini that he is one of my favorite musicians. 00:05:17.310 --> 00:05:20.110 And he's from Paisley, which is just outside of Glasgow. 00:05:20.630 --> 00:05:24.870 There's actually a tweet that I put up whenever I was there. 00:05:25.090 --> 00:05:28.270 It was a picture of some poutine. If y'all ever eat poutine, 00:05:28.350 --> 00:05:32.390 Lee Holmes took me to Vancouver and introduced me to poutine. 00:05:32.590 --> 00:05:36.790 So I was in Glasgow. Weird place, I know, for some poutine, but I got it. 00:05:36.870 --> 00:05:40.990 And, you know, I was sitting there and they had those like classic UK buses 00:05:40.990 --> 00:05:45.090 driving by, some great beer and poutine. 00:05:45.130 --> 00:05:47.810 And I took a picture and I said, I'm moving to Glasgow. 00:05:48.310 --> 00:05:52.670 And so that is on the agenda. I don't know if it'll be Glasgow exactly, 00:05:52.770 --> 00:05:55.950 but if anybody has any suggestions, I'm open to it. 00:05:57.010 --> 00:06:00.650 But you've recognized that they have kind of different English. 00:06:00.990 --> 00:06:05.210 You're aware of that, right? You know, I'm used to, I think whenever people 00:06:05.210 --> 00:06:09.810 actually speak American English, it's confusing for my brain for two seconds 00:06:09.810 --> 00:06:14.930 because every bit of English that I hear generally has an accent to it. 00:06:15.050 --> 00:06:21.130 And so actually, Jordan Boreas, I thought that he was American. 00:06:21.230 --> 00:06:24.850 And so I was prepared for the American English. 00:06:25.170 --> 00:06:28.870 And then it almost sounded like a completely different language. 00:06:29.010 --> 00:06:32.670 And I was like, wait, where are you from? And it is interesting how our brains 00:06:32.670 --> 00:06:34.730 do that, like what we're prepared for. 00:06:34.850 --> 00:06:38.770 And so I wasn't prepared for him being Australian, though I am familiar with 00:06:38.770 --> 00:06:40.470 their alternative English. 00:06:41.430 --> 00:06:44.350 We will come to that back later. 00:06:44.570 --> 00:06:51.210 Keep that in mind. So just right now, you're living in Europe for quite a while, 00:06:51.250 --> 00:06:53.650 but you originate from the United States of America. 00:06:54.450 --> 00:06:58.530 And keep that in mind. We will. You will see. Okay. 00:06:59.620 --> 00:07:04.720 The first thing that I always ask is, what are the roots? Where do people come 00:07:04.720 --> 00:07:05.920 from? I'm one of those guys. 00:07:06.120 --> 00:07:12.820 Yes, I love to look at the future, but I am convinced that to master the future, 00:07:13.060 --> 00:07:16.340 you have to be aware of your heritage, where you come from. 00:07:17.680 --> 00:07:20.800 And since we know quite a while, and of course we chat a lot, 00:07:21.120 --> 00:07:26.980 you told me that a quote by Paul Dressel really influenced your life. 00:07:27.200 --> 00:07:32.500 Yes. And to give it for those who listen, I can quote that. 00:07:32.560 --> 00:07:38.500 It says: "A grade is an inadequate report of an inaccurate judgment by a biased 00:07:38.500 --> 00:07:44.000 and variable judge of the extent to which a student attained an undefined level 00:07:44.000 --> 00:07:49.260 of mastery of an unknown proportion of an indefinite amount of material." 00:07:49.460 --> 00:07:55.380 I apologize for my rubbish English, but you can look it up. Would you be so 00:07:55.380 --> 00:08:01.760 kind to explain a little bit, what did you do to become the expert that you are today? 00:08:02.600 --> 00:08:10.000 So whenever I was in high school and growing up, I was not an A student and 00:08:10.000 --> 00:08:12.180 I actually wasn't even a B student. 00:08:12.260 --> 00:08:21.780 And it really made me feel like success maybe wasn't a possible part of my future. 00:08:21.780 --> 00:08:26.060 And but I went to I went to college anyway, 00:08:26.300 --> 00:08:35.440 and then I took a sabbatical and When I went back Right before I did I I saw 00:08:35.440 --> 00:08:40.620 this quote and it completely changed my life because All this time I had been 00:08:40.620 --> 00:08:44.100 carrying this weird burden I can be good at work, 00:08:44.280 --> 00:08:51.040 but I can't be good in academics and the thing about being graded is that it is. 00:08:52.500 --> 00:08:56.000 It is strict. There are rules. It's a rigid thing. 00:08:56.260 --> 00:09:02.180 And if, you know, if Beth Broussard gets an A and I don't, it's the same grading scale. 00:09:02.940 --> 00:09:06.120 And I didn't deserve that A. 00:09:06.300 --> 00:09:15.000 And whenever I saw this, it changed my life entirely because it made me realize that it's true. 00:09:15.380 --> 00:09:19.080 It is a biased and variable judge. 00:09:19.660 --> 00:09:23.460 That teacher might like somebody else a little bit more. 00:09:23.520 --> 00:09:27.800 And all this time, I thought that it was almost like a scientific measurement. 00:09:28.480 --> 00:09:33.500 And so I actually went back to school. I was working at a law firm in San Diego, 00:09:33.640 --> 00:09:37.480 California, and I loved it there. And I was doing really well. 00:09:37.820 --> 00:09:41.580 And whenever I was, I was older, so I was going back to school and I I was like, 00:09:41.660 --> 00:09:45.980 maybe my teachers will actually like me this time. 00:09:46.280 --> 00:09:51.120 So I go and I just irritate all of my professors. 00:09:51.480 --> 00:09:54.720 Like, what the hell? So I actually asked my boss, I said, hey, 00:09:54.820 --> 00:09:59.040 you like me? And she said, yes, I do. I said, my professors don't. 00:09:59.340 --> 00:10:04.340 And she said, oh, I know exactly why. And I was like, what? And she said, you ask questions. 00:10:05.200 --> 00:10:10.340 And those questions help me answer business problems. 00:10:10.340 --> 00:10:13.900 Problems but when you ask that professor they take 00:10:13.900 --> 00:10:16.860 it as you questioning their judgment so i'll challenge you 00:10:16.860 --> 00:10:20.760 to do one thing and this is going to get your grades up i was like all right 00:10:20.760 --> 00:10:26.600 that for your next report just say something kind of flattering and don't push 00:10:26.600 --> 00:10:31.560 back don't ask any questions and watch what happens and i am not exaggerating 00:10:31.560 --> 00:10:34.240 when i tell you i wrote a report about, 00:10:34.340 --> 00:10:38.540 it was called Ethics for the New Millennium by the Dalai Lama. 00:10:38.920 --> 00:10:43.020 And in the report. 00:10:44.230 --> 00:10:48.530 I was genuine when I said that the book had a profound impact on me because 00:10:48.530 --> 00:10:52.210 I was living in San Francisco by this time and I was feeling very lonely. 00:10:52.350 --> 00:10:57.190 And this book helped change my perspective and made me feel less lonely. 00:10:57.330 --> 00:11:02.270 So I included it in the paper as well as, you know, kind of like a thank you 00:11:02.270 --> 00:11:06.270 for assigning me this because it was very beneficial. I learned so much. 00:11:06.530 --> 00:11:13.830 And when I got my grade back, it went from like a B to an A+. 00:11:13.830 --> 00:11:17.270 And I was like, oh my God, you can hack your grades. 00:11:18.290 --> 00:11:23.850 And when I realized that you could hack grades with behavior other than, 00:11:23.910 --> 00:11:30.110 I don't know, I guess what you put on paper, the way that you study, then from that day on, 00:11:30.310 --> 00:11:33.370 I only got A's, which I think is crazy. 00:11:33.370 --> 00:11:42.230 But this helped me see that possibility along with my boss, who was encouraging. 00:11:42.670 --> 00:11:46.890 And ever since then, all of my professors pretty much like me because I stopped asking questions. 00:11:48.990 --> 00:11:54.450 You said that your family had a kind of European background. So the name is telling. 00:11:57.230 --> 00:12:03.830 There is always, you know, it's a great, it's a lottery, it's a randomizer that 00:12:03.830 --> 00:12:08.950 puts us on this earth and you can be very, any one of us can be very thankful 00:12:08.950 --> 00:12:12.030 having the right parents, caring, 00:12:12.390 --> 00:12:15.850 the right country with a good health system, stuff like that. 00:12:16.720 --> 00:12:21.460 But you decided that you're interested in going to Europe. 00:12:21.740 --> 00:12:27.320 And I think maybe you want to explain a little bit, what does that mean to your 00:12:27.320 --> 00:12:29.720 family or your partner or something like that? 00:12:29.860 --> 00:12:33.920 Was that by granted that you do it or was that a really hard process? 00:12:34.000 --> 00:12:37.680 Because if I'm thinking about migrating to the United States, 00:12:37.780 --> 00:12:41.480 that would be a challenge for me. How was that on a personal and a family level? 00:12:41.940 --> 00:12:45.840 Well, first of all, at the time, health care didn't even cross my mind. 00:12:45.940 --> 00:12:52.540 And I will be honest, like health care and going to the UK is number one or two on the list. 00:12:53.480 --> 00:12:58.480 But back then, actually, I wasn't that young. 00:12:58.560 --> 00:13:01.780 Whenever I moved here, like in my head, I'm like, I'm gonna tell this story 00:13:01.780 --> 00:13:11.620 about back when I was 18. But back when I was 18, I went to the movie theater in Columbus, Ohio. 00:13:11.860 --> 00:13:16.340 It was called The Drexel. And I watched this movie that was based in Italy. 00:13:16.440 --> 00:13:18.240 And I was like, one day I'm going to get there. 00:13:18.560 --> 00:13:20.920 But I didn't put a timeline on myself. 00:13:21.280 --> 00:13:24.720 I just said, you know, when it happens, because it will. 00:13:25.300 --> 00:13:31.460 And then many years later, I was living back in Louisiana. I had moved from California. 00:13:32.180 --> 00:13:35.780 And this company called and they said, hey, we want you to work in West Virginia. 00:13:35.960 --> 00:13:37.540 And I was like, absolutely not. 00:13:38.240 --> 00:13:41.720 But then they're like, how about we pay you more than you want and you get to 00:13:41.720 --> 00:13:45.900 work in the security operations center of the largest network in the world doing 00:13:45.900 --> 00:13:48.280 SQL Server. And I was like, that's pretty tempting. 00:13:48.680 --> 00:13:53.060 So I went to their careers page and I looked to see if they had any international 00:13:53.060 --> 00:13:56.720 positions and they did. So I accepted that. 00:13:57.360 --> 00:14:02.900 And eventually I knew that I didn't have to stay there, that position forever, 00:14:03.160 --> 00:14:06.360 and I would be able to go to one of the international ones. 00:14:06.540 --> 00:14:12.160 But as far as when it comes to my family, I think. 00:14:12.900 --> 00:14:20.860 My family, while we grew up all very close, whenever we all grew up and we were 00:14:20.860 --> 00:14:23.620 over 18, each of us moved to different places. 00:14:23.980 --> 00:14:29.860 And my mom always said something like, you know, whenever you're born, you get roots and wings. 00:14:30.100 --> 00:14:35.160 And so she was always very encouraging of moving away. way. 00:14:35.180 --> 00:14:39.160 And so, you know, while it's always sad to see your family go, 00:14:39.300 --> 00:14:42.880 it was also, for me, I didn't even think twice about it. 00:14:42.940 --> 00:14:48.220 And I've always been, I was surprised when there was somebody that I was dating. 00:14:48.360 --> 00:14:52.140 I was like, hey, you want to move from Louisiana with me to California? 00:14:52.140 --> 00:14:53.300 And they're like, oh, I'm scared. 00:14:53.600 --> 00:14:59.700 It didn't even occur to me that anyone would say no to such a huge opportunity. 00:14:59.700 --> 00:15:04.600 And the thing that's very natural with my wife, Lou, is that I was like, 00:15:04.660 --> 00:15:06.120 you want to go? And she's like, absolutely. 00:15:07.320 --> 00:15:12.980 So it has been very easy to move overseas. 00:15:13.120 --> 00:15:16.920 And, you know, you miss everyone at first, but I was also used to missing people 00:15:16.920 --> 00:15:18.020 when I was in California. 00:15:19.980 --> 00:15:25.540 The Internet does help. Yeah, as we see on the picture here, 00:15:25.640 --> 00:15:32.540 for those who are listening, we have a look at the DBA tools book by Manning, 00:15:32.540 --> 00:15:33.820 we just mentioned that. 00:15:34.580 --> 00:15:41.980 If we do jump into your professional career, it's obvious that many people know 00:15:41.980 --> 00:15:49.460 you from the PowerShell context, but even more, you are, are you equal DBA tools? 00:15:49.840 --> 00:15:52.800 But that is not the truth. There are many, many other people involved. 00:15:53.080 --> 00:16:00.360 But I guess it's fair to say that you became visible with DBA tools on a very 00:16:00.360 --> 00:16:03.020 broad level. You mentioned already SQL Server. 00:16:03.340 --> 00:16:06.360 Can you tell a little bit about the beginning of the project? 00:16:06.680 --> 00:16:11.560 In the beginning, was it just you? How did that all start? And what was your influence? 00:16:12.440 --> 00:16:15.440 So first of all, I think it's so funny. There's some things that you never quite 00:16:15.440 --> 00:16:21.240 think about. One of the things is I wanted my GitHub name to be CTRLB. 00:16:21.460 --> 00:16:27.000 It was a hacker name that my wife gave me because I'm bold, but it wasn't available. 00:16:27.200 --> 00:16:31.320 So I just changed it to Potatoquality because who's gonna care and who's gonna see this? 00:16:31.620 --> 00:16:35.300 And same with this picture. They gotta wash my hair in like three weeks. 00:16:35.380 --> 00:16:39.280 It was during the pandemic. And I was like, here's my picture, cover my face. 00:16:39.540 --> 00:16:43.760 And so anyway, it's funny that this is the one that's featured. 00:16:52.550 --> 00:16:58.610 Started using Linux back in, I would say like 97, 96, 97. 00:16:59.030 --> 00:17:06.310 And with that, I had always wished for something similarly powerful on Windows. 00:17:06.490 --> 00:17:10.990 And the closest that I found was VBScript. So I started doing like classic ASP. 00:17:11.390 --> 00:17:18.030 And in, it was awesome. In 2005, I was living in Los Angeles. 00:17:18.550 --> 00:17:21.330 Oh, by the the way, you're probably like, man, you move around a lot. 00:17:21.410 --> 00:17:25.210 It was true, but my stability came from the law firm that I was working for 00:17:25.210 --> 00:17:27.370 because we're a California-based law firm. 00:17:27.490 --> 00:17:30.110 So I just kept moving to all the cities that we were in. 00:17:30.410 --> 00:17:35.210 But while I was there, there was the Los Angeles Professional Developers Conference 00:17:35.210 --> 00:17:38.010 by Microsoft, which I think is now called MSBuild. 00:17:38.170 --> 00:17:44.470 And I went there and Lee Holmes was there and Jeffrey Snover was there presenting. 00:17:44.890 --> 00:17:50.170 That's whenever me and Lee became friends and he later took me out for poutine 00:17:50.170 --> 00:17:51.830 because I had made him a gumbo. 00:17:51.890 --> 00:17:55.490 I invited him home that night and I made him some gumbo. 00:17:57.510 --> 00:18:00.630 And eventually he was like, hey, why don't you help me? 00:18:00.790 --> 00:18:04.130 You know, you could be a technical editor for the PowerShell cookbook. 00:18:04.270 --> 00:18:07.030 And I was like, I don't know how to use PowerShell yet, though. 00:18:07.070 --> 00:18:11.670 It's this weird concept that I really can't grasp, especially coming from a 00:18:11.670 --> 00:18:12.970 VBScript background. ground. 00:18:12.990 --> 00:18:17.930 I was like trying to put all my VBScript understanding and T-SQL understanding 00:18:17.930 --> 00:18:21.730 into PowerShell and it just wasn't working. So I read through it. 00:18:23.530 --> 00:18:30.150 But for me, when I learn, I need a project that keeps me completely engaged and excited. 00:18:30.850 --> 00:18:35.630 And that didn't happen until 2011 whenever I was working with SharePoint. 00:18:35.850 --> 00:18:40.390 So I do love SharePoint. It got me into PowerShell. um 00:18:40.390 --> 00:18:43.410 and so you learn 00:18:43.410 --> 00:18:46.910 more or less powershell with developing the 00:18:46.910 --> 00:18:49.870 behavior tools is that a way to describe that not yet 00:18:49.870 --> 00:18:56.930 no um that actually so that was 2011 but in 20 it was 2014 that my best friend 00:18:56.930 --> 00:19:00.650 brandon he's the one that i'm writing uh the the book with the ai book with 00:19:00.650 --> 00:19:05.810 um brandon said hey i want to show you something and he imported the the sequel 00:19:05.810 --> 00:19:09.850 management objects dll and they had all of these options that are recognized. 00:19:10.050 --> 00:19:13.590 And I was like, oh my God, that looks so incredibly powerful. 00:19:14.150 --> 00:19:15.650 But whenever you do that. 00:19:19.570 --> 00:19:22.690 And that's not how you use it. But I kind of saw it as slow. 00:19:22.750 --> 00:19:24.230 So it took a bit to come around. 00:19:26.730 --> 00:19:31.950 But now I remember why you asked that about SharePoint. Because I was doing SharePoint at the time. 00:19:32.170 --> 00:19:35.510 And my company came to me and they said, hey, we need to do a migration. 00:19:36.210 --> 00:19:40.050 And I was like, oh, that's no problem. Because somebody's written a PowerShell 00:19:40.050 --> 00:19:43.830 script that'll just go through and migrate from one SQL server to another. 00:19:44.210 --> 00:19:47.750 And that didn't happen. And so I was like, so every, you know, 00:19:47.770 --> 00:19:50.430 all of the code snippets out there had static paths. 00:19:51.150 --> 00:19:56.490 And so I made it dynamic. And, and it kind of went from there. 00:19:56.610 --> 00:20:02.310 I, at the time when I was building the module, it was not a module until one, 00:20:02.350 --> 00:20:06.390 I had so many requests, can you please put these like seven or eight commands into a module? 00:20:06.470 --> 00:20:10.130 And I'm like, I don't get why you want to like run a command to run another 00:20:10.130 --> 00:20:14.630 command, why not just run the command? Because I came from that Linux background, 00:20:14.970 --> 00:20:17.670 you know, where you just do .slash and script.bash, whatever. 00:20:18.290 --> 00:20:22.410 And so it was here at SQL Days Belgium. 00:20:22.470 --> 00:20:27.690 I made it into a module and then presented it because I desperately wanted other 00:20:27.690 --> 00:20:35.830 DBAs to be relieved of having to do these super boring migrations and just use PowerShell. 00:20:38.530 --> 00:20:47.770 Does microsoft support DBAtools the way that you think it deserves the word support yes. 00:20:49.110 --> 00:20:57.050 But um they have given it's been awesome uh i worked with them and asked them 00:20:57.050 --> 00:21:03.810 hey um at first i think i told yeah we would tell them people hey install sql 00:21:03.810 --> 00:21:08.630 server management studios so that you get these DLLs, and then... 00:21:09.720 --> 00:21:13.980 And then you can run these scripts. And then I asked Microsoft, 00:21:13.980 --> 00:21:16.400 I was like, can I just include all of SMO? And they were like, 00:21:16.440 --> 00:21:18.200 take everything that you need. 00:21:18.580 --> 00:21:26.020 And yeah, in so very many ways, they have been extremely supportive. 00:21:27.040 --> 00:21:31.140 The only but is that it'd be really nice to be paid full time to work on DBA 00:21:31.140 --> 00:21:33.840 tools. I could do that all day and night. 00:21:34.280 --> 00:21:41.380 And so there's the but. But all around, I have felt they have supported us as a community. 00:21:41.780 --> 00:21:46.140 They gave us, they actually awarded us $10,000 for, 00:21:46.220 --> 00:21:53.760 we were the FOSS recipient award for, I forget the exact name of the award, 00:21:53.840 --> 00:21:58.780 but each month they give $10,000 to an open source project and that was us. 00:21:59.700 --> 00:22:06.720 So I took it and distributed it to a lot of the contributing team members. 00:22:06.820 --> 00:22:14.360 And then also GitHub has been supportive of us as well, and also supportive of me personally. 00:22:15.500 --> 00:22:21.420 So Microsoft has absolutely contributed to the success of DBA tools. 00:22:22.860 --> 00:22:27.600 I think GitHub is a kind of transformative change for Microsoft, isn't it? 00:22:27.740 --> 00:22:31.720 Yeah. I was just joking with Bruce that one day, he told me that, 00:22:31.760 --> 00:22:35.820 Bruce Payette told me that, as a side note, he met Linus Torvalds. 00:22:36.280 --> 00:22:40.360 And I was joking that one day in the future, Linus Torvalds will be described 00:22:40.360 --> 00:22:42.060 as the guy who invented Git. 00:22:43.020 --> 00:22:46.060 And some people will say, okay, he did something else. Yeah, 00:22:46.160 --> 00:22:49.180 okay, nice to have Linus, Linux. 00:22:49.780 --> 00:22:55.660 And in terms of Microsoft, when they took over GitHub, very, 00:22:55.660 --> 00:23:02.820 very people were, wait a second, Microsoft, that freaking evil empire from Seattle, we don't want it. 00:23:03.780 --> 00:23:12.240 But today we see some people left, but way, way more people came in to GitHub, and GitHub evolves. 00:23:12.720 --> 00:23:16.240 And somehow I think I always describe it as Facebook for nerds. 00:23:16.640 --> 00:23:18.320 It is so much more than Git. 00:23:18.920 --> 00:23:22.960 And I know that you're pretty proud of being a GitHub star. Is that called? 00:23:23.300 --> 00:23:26.180 How does that come? And there are not so many, right? 00:23:27.040 --> 00:23:31.100 I don't know the exact number right now, but what was really incredible is it 00:23:31.100 --> 00:23:35.100 was during During the early days of the pandemic, they had reached out and they 00:23:35.100 --> 00:23:36.820 said, hey, we're starting this new program. 00:23:37.800 --> 00:23:41.320 It's called GitHub Stars, and we'd like to invite you to be one. 00:23:41.480 --> 00:23:43.160 And I was like, oh, my God, this is huge. 00:23:44.180 --> 00:23:53.880 So I was actually one of the first seven GitHub Stars, along with some famous 00:23:53.880 --> 00:23:57.320 people that I don't remember their names because they're in completely different fields. 00:23:57.320 --> 00:24:02.800 But what I really liked about it was as a member of the PowerShell community, 00:24:03.260 --> 00:24:08.180 I often feel left out whenever it comes to documentation out there. 00:24:08.320 --> 00:24:13.480 I was so shocked whenever GitHub Copilot supported PowerShell so beautifully. 00:24:13.480 --> 00:24:25.500 And it was very nice for PowerShell itself to be recognized as part of this 00:24:25.500 --> 00:24:29.240 GitHub stores community because it can be niche. 00:24:30.100 --> 00:24:31.640 And yeah, it was really cool. 00:24:33.260 --> 00:24:37.140 What are the things that you like most? 00:24:37.320 --> 00:24:43.040 Because I got to confess, the inner core of Git, that can't be the decisive 00:24:43.040 --> 00:24:45.480 point because then you can use GitLab or whatsoever. 00:24:45.980 --> 00:24:50.800 Is there anything that you think you're especially addicted to? I give a brief example. 00:24:51.780 --> 00:25:00.460 I tried to set up quickly a webpage with Hugo and GitHub pages that has nothing 00:25:00.460 --> 00:25:03.560 to do more or less with Git. That was a blast. 00:25:03.780 --> 00:25:09.600 I never created a SSL certificate that fast with Let's Encrypt and that changes 00:25:09.600 --> 00:25:11.600 all the time. It's a blast. 00:25:12.280 --> 00:25:17.460 Is there something like that that you especially like in GitHub that does not 00:25:17.460 --> 00:25:19.620 so much to do with Git at its inner core? 00:25:21.920 --> 00:25:25.740 External periphery so you're probably talking about something like the communities 00:25:25.740 --> 00:25:33.600 um i i do love the way that it allowed other people to come into your projects 00:25:33.600 --> 00:25:38.540 and interact that way um but i'm kind of distracted by my brain saying github 00:25:38.540 --> 00:25:41.780 desktop because i i know that it's It's not Git. 00:25:42.140 --> 00:25:49.580 Sorry, I know that it is Git, but it's also something that I love, user friendliness. 00:25:49.820 --> 00:25:55.520 And while I do create command line tools and I enjoy using command line tools 00:25:55.520 --> 00:25:59.460 and also love them, I also sometimes I just want to get something done. 00:25:59.540 --> 00:26:01.960 Like I still use SQL Server Management Studio sometimes. 00:26:03.420 --> 00:26:11.280 And I loved GitHub Desktop because I still don't know Git. I never plan to learn 00:26:11.280 --> 00:26:14.940 it, but I can interact so completely. 00:26:15.560 --> 00:26:22.180 And I could say that I'm super confident in being able to do source control. 00:26:22.180 --> 00:26:26.640 And I don't have to know all the guts down at the bottom because they created 00:26:26.640 --> 00:26:29.440 this GUI that's fun and easy and pretty. 00:26:31.560 --> 00:26:35.360 Rumors say that Microsoft bought it - from today's perspective - 00:26:35.680 --> 00:26:43.440 simply that they can run their own stuff in it and make it guaranteed that GitHub 00:26:43.440 --> 00:26:45.720 will exist in 10 years, in 20 years. 00:26:45.900 --> 00:26:52.420 So that gives you another point of why did they invest so much money in something 00:26:52.420 --> 00:26:57.280 that they easily could set up because it's open source without that platform. for him. 00:26:58.280 --> 00:27:05.160 But you can see the surface of Microsoft changed a lot because many people are 00:27:05.160 --> 00:27:10.880 addicted, not with Microsoft directly, but they do love stuff like GitHub. 00:27:10.940 --> 00:27:13.260 There are other examples for that. 00:27:13.760 --> 00:27:18.220 But to me, to come back to DBA tools, somehow the SQL Server team, 00:27:18.460 --> 00:27:23.620 maybe they listen to us, to me it's kind of the old Microsoft. 00:27:25.480 --> 00:27:28.420 SQL SQL Server is not a cheap product. 00:27:30.120 --> 00:27:35.500 Don't you think it would be, is it fair to say that something like DBA tools, 00:27:35.880 --> 00:27:42.300 a deep PowerShell integration, should simply be part of SQL Server? 00:27:42.860 --> 00:27:46.000 It is. Going back 20 years or 10? 00:27:46.780 --> 00:27:51.980 Going back. Yeah, you know what I mean. Without the necessity to have volunteers 00:27:51.980 --> 00:27:54.720 that are filling the gap. You know what I mean. 00:27:57.020 --> 00:28:00.920 You wouldn't be here. That's the other side of the fence. But if you do not 00:28:00.920 --> 00:28:10.600 think about yourself, is the integration that SQL Server provided, is that good enough? 00:28:11.040 --> 00:28:14.280 No. I don't think so. No, I don't think that anybody did. 00:28:15.560 --> 00:28:21.860 Even whenever we tell people to execute PowerShell, we say not to use the PowerShell 00:28:21.860 --> 00:28:26.720 subsystem. And maybe that's changed over the years, but I didn't keep up and 00:28:26.720 --> 00:28:28.160 nobody brought it to my attention. 00:28:28.860 --> 00:28:37.480 So I still go to dbtools.io slash agent whenever I set up any PowerShell jobs 00:28:37.480 --> 00:28:42.940 because we use basically command.exe to execute PowerShell.exe. 00:28:42.960 --> 00:28:45.460 And we do not use that integration function. 00:28:48.490 --> 00:28:53.910 And so I, you know, it's something that I just, I guess I don't wish for anymore. 00:28:54.310 --> 00:29:00.970 I did at the beginning, but it did create an opportunity, not just for me, 00:29:01.030 --> 00:29:04.890 but because people were so excited by DBA Tools, 00:29:05.130 --> 00:29:11.630 they also pushed through and got involved in GitHub, which is also what got me on GitHub. 00:29:11.630 --> 00:29:15.530 Hub like before and i would go around telling people like i 00:29:15.530 --> 00:29:18.970 know that it's well i created dba tools.io because 00:29:18.970 --> 00:29:22.730 i didn't want to force them to get hub and then find the green thing where they 00:29:22.730 --> 00:29:27.250 could like download the zip and it was so confusing in that way but it got me 00:29:27.250 --> 00:29:33.670 there and it got me involved and it made it very easy to help get others involved 00:29:33.670 --> 00:29:38.350 and because i had that that background with Linux going back to the 90s, 00:29:38.350 --> 00:29:41.290 like I did always want my worlds to come together. 00:29:41.410 --> 00:29:47.150 And that happened, you know, with PowerShell, and with SQL Server, 00:29:47.370 --> 00:29:53.490 and with open source and with Linux, and now PowerShell runs on Linux and SQL Server runs on Linux. 00:29:53.650 --> 00:29:56.110 And so everything came together perfectly. 00:29:56.350 --> 00:30:00.090 And so I would have to say I'm very satisfied with their level of integration 00:30:00.090 --> 00:30:04.010 of PowerShell and SQL Server because of the way that everything turned out. 00:30:05.970 --> 00:30:10.570 The final question to DBA too is before we go further to what you do today, 00:30:10.810 --> 00:30:13.710 what you're going, what are the future plans? 00:30:14.930 --> 00:30:19.050 Last question is, what are the future plans for DBA tools? 00:30:19.370 --> 00:30:24.730 Is there something like a giant leap or the responsibility that will change? 00:30:24.870 --> 00:30:31.130 Is there anything or it's just stability and improving the tools and let's see 00:30:31.130 --> 00:30:38.190 what may come? What's amazing is that it's almost been around for 10 years, for an entire decade. 00:30:38.730 --> 00:30:43.430 And right now it is stable, but I don't know about you all, but for me, 00:30:43.430 --> 00:30:46.810 I'll be like super duper into a project and that's all that I work on and I'm 00:30:46.810 --> 00:30:50.290 completely obsessed with it. And then I'll be super disinterested. 00:30:50.290 --> 00:30:51.990 And then I'll switch to another one. 00:30:52.230 --> 00:30:55.750 And right now, I'm really interested in AI. 00:30:56.450 --> 00:31:03.330 And I don't, I'm not actively developing DBA tools unless I need something. 00:31:03.490 --> 00:31:06.030 But I do go in and, you know, approve the pull requests. 00:31:06.270 --> 00:31:10.010 And I do the, every time that the module is published, that's me because they 00:31:10.010 --> 00:31:14.470 forced us to have this physical key to sign our modules. 00:31:15.170 --> 00:31:22.350 But something that I did do that I really love is now I kind of see it as a teaching tool. 00:31:22.490 --> 00:31:28.830 So DBA Tools, so many people have said DBA Tools helped me get into PowerShell. 00:31:29.490 --> 00:31:34.890 Whenever we first, whenever like DBA Tools first came out, I got so much pushback 00:31:34.890 --> 00:31:36.110 from the SQL Server community. 00:31:36.430 --> 00:31:41.930 They're like, oh, I hate PowerShell. And I'm like, yeah, but watch this. And, and. 00:31:44.050 --> 00:31:49.790 So, you know, we got people into PowerShell. We got people into GitHub and open source. 00:31:50.790 --> 00:31:56.810 And now I have dbatools.ai that is not a commercial product because I don't 00:31:56.810 --> 00:31:58.670 know how to make money writing software. 00:31:59.830 --> 00:32:03.950 But this will help the PowerShell community see how it does. 00:32:04.050 --> 00:32:07.570 You don't need a PhD. You don't need to be a data scientist. 00:32:08.530 --> 00:32:12.090 You heard that we were talking about accents. My mouth is dry. 00:32:12.190 --> 00:32:14.830 So you're going to hear my Cajun accent. I'm kind of tired. 00:32:15.210 --> 00:32:19.810 But you don't need to be a data scientist to use AI. 00:32:19.970 --> 00:32:26.090 We could do it as PowerShell people. It's all REST API endpoints, which is shocking to me. 00:32:26.230 --> 00:32:33.790 But that project shows you, I even did this mermaid workflow that I used AI to create. 00:32:34.490 --> 00:32:42.510 But I walk everyone step by step on how to bring natural language to your module. 00:32:42.610 --> 00:32:51.810 So now you can say, can you copy the Northwind database from SQL 01 to SQL 02 using this path? 00:32:52.070 --> 00:32:57.890 And it will execute the command for you. It'll interpret that and know how to write it out. 00:33:00.030 --> 00:33:03.590 You already mentioned artificial intelligence. Yes. 00:33:03.910 --> 00:33:08.350 And that is anyone who follows what you do, You're very outspoken, 00:33:08.350 --> 00:33:12.150 so it's easy to say, oh, Chrissy's got another interesting project. 00:33:12.230 --> 00:33:14.350 She delivered another interesting session. 00:33:16.190 --> 00:33:22.050 And despite the fact that artificial intelligence is already a buzzword, 00:33:22.110 --> 00:33:26.570 and you have to be very careful who talks about that because anyone talks about it. 00:33:27.680 --> 00:33:32.360 I think artificial intelligence is a break. 00:33:32.740 --> 00:33:40.960 A break? It's a break, a new, a giant leap forward, a change for what computing, computer science is. 00:33:41.200 --> 00:33:43.960 I get some nice picture from you. 00:33:45.600 --> 00:33:49.460 It starts, it might start with something like that. That was me. 00:33:50.200 --> 00:33:57.360 Pictures showing up all over the places This is generated by artificial intelligence. 00:33:58.500 --> 00:34:02.820 Let me start with, again, one thing that I observe. 00:34:04.380 --> 00:34:10.460 Artificial intelligence is kind of technology that is based on what already exists. 00:34:10.940 --> 00:34:13.200 It's the models we have today. 00:34:13.900 --> 00:34:21.860 Heavily, they collect data and they get information out of it. Yes. 00:34:21.960 --> 00:34:24.760 So it's like a giant leap in a search engine. 00:34:24.960 --> 00:34:30.140 So that is what I very often describe if I think about the search engines when 00:34:30.140 --> 00:34:36.520 they showed up or something like Wikipedia, that was a transformative change again. So AI is. 00:34:38.040 --> 00:34:44.640 But AI seems to have superpower because AI can be trained, you can level it 00:34:44.640 --> 00:34:47.180 up, and it goes on and on and on. 00:34:47.560 --> 00:34:53.260 Will you be so kind to tell a little bit about your experience with AI engines 00:34:53.260 --> 00:34:58.700 that you already had, what you are interested in, and your perspective on where 00:34:58.700 --> 00:35:02.040 will you be in a year, in two years, 00:35:02.280 --> 00:35:05.940 what fascinates you today, what will fascinate you tomorrow? 00:35:06.460 --> 00:35:11.240 Well, I guess the thing that's fascinating is, first of all, 00:35:11.260 --> 00:35:13.440 that it's all just REST API endpoint. point. 00:35:14.480 --> 00:35:18.220 Another thing is. 00:35:20.740 --> 00:35:24.480 Man, I totally forgot what we were talking about. Sorry. It takes your time. 00:35:24.680 --> 00:35:27.060 Would you say again, can you repeat the question? Yeah. 00:35:28.380 --> 00:35:30.920 With your, have a glass of water. Thank you. 00:35:34.040 --> 00:35:40.120 Artificial intelligence is a vast topic. So, and it already became a buzzword. 00:35:41.160 --> 00:35:46.560 So, what are the things that fascinates you most today? What do you like to 00:35:46.560 --> 00:35:49.140 do? Something like that? Funny things? No. 00:35:49.720 --> 00:35:56.120 I mean, that's just a means to an end. What I really like doing is figuring 00:35:56.120 --> 00:36:00.860 out how to use it to make my life easier. 00:36:01.140 --> 00:36:06.580 And it's fun exploring things that I've kind of heard about on the peripheral, 00:36:06.620 --> 00:36:12.300 because even though I'm a SQL Server DBA, I am not a data scientist. 00:36:12.300 --> 00:36:17.600 And so I hear things like fine tuning that I use PowerShell to like you were 00:36:17.600 --> 00:36:23.140 talking about training those models, you can actually keep training them with PowerShell. 00:36:23.200 --> 00:36:27.640 And I wrote this thing called fine tuna that I did make a cute little logo with 00:36:27.640 --> 00:36:29.480 and it just got just knocked it out the park. 00:36:30.480 --> 00:36:33.660 So the thing that fascinates me is how 00:36:33.660 --> 00:36:36.920 to make our lives easier with it but most 00:36:36.920 --> 00:36:43.440 of all how to integrate ai with powershell so that we all can be in this in 00:36:43.440 --> 00:36:52.320 in the game that is clearly the future of the entire computer industry um do 00:36:52.320 --> 00:36:56.460 you have good experience with co-pilot as a product i do For example, 00:36:56.580 --> 00:36:59.000 also the GitHub integration, something like that, yeah? 00:36:59.100 --> 00:37:04.880 Right. So GitHub Copilot, first of all, man, whenever it first came out. 00:37:05.660 --> 00:37:11.840 I had this function called isWindows, and it was written within DBA tools. 00:37:12.500 --> 00:37:17.900 And I couldn't believe when I opened up a new tab, and I typed in I, 00:37:18.160 --> 00:37:20.760 and then it just did isLinux. 00:37:21.160 --> 00:37:23.940 And that was absolutely magical. 00:37:24.500 --> 00:37:27.540 But then it kind of got in the way after a bit, and I turned it off. 00:37:27.600 --> 00:37:31.600 But, you know, then I returned to it. Now I actually leave it on all the time, 00:37:31.740 --> 00:37:36.980 and I use it for all of the tedious tasks. And what I love about Copilot is 00:37:36.980 --> 00:37:40.640 that whenever we're building something, we all have to make those, 00:37:40.800 --> 00:37:42.180 you know, the little for loop. 00:37:42.320 --> 00:37:46.720 That's just, it's not exciting, but you have to do it. So I just make the comments 00:37:46.720 --> 00:37:48.080 and then it fills in the rest. 00:37:48.220 --> 00:37:53.240 And a lot of times, okay, that's what actually adds like really good parameters and really good help. 00:37:53.440 --> 00:37:56.580 And then there's the chat on the side. But I've never, like, 00:37:56.640 --> 00:38:00.440 I wanted to be a fan of this chat whenever I saw it in practice. 00:38:00.440 --> 00:38:03.420 Practice first of all it matched my really beautiful 00:38:03.420 --> 00:38:06.300 1984 unbolded theme 00:38:06.300 --> 00:38:09.400 it looked good it was slick as 00:38:09.400 --> 00:38:14.600 heck but i was like when we're you know uh which the lat what's the last version 00:38:14.600 --> 00:38:19.660 of dba tools that that you're familiar with and it was like point you know 0.9 00:38:19.660 --> 00:38:27.260 and so i didn't see how i could use it but they do have these extensions um 00:38:27.260 --> 00:38:28.780 that are now in preview that's That's awesome. 00:38:28.880 --> 00:38:36.320 And I, oh my God, I used Claude and ChatGPT to write an entire VS Code extension in TypeScript. 00:38:36.560 --> 00:38:40.460 And what it does is it goes out to either Azure OpenAI service, 00:38:40.620 --> 00:38:46.500 or it goes out to the OpenAI API, it gets a list of all of your assistants. 00:38:46.920 --> 00:38:52.320 And then you can have an assistant is, it's like an updated copilot with like 00:38:52.320 --> 00:38:53.500 all the data that you have. 00:38:53.900 --> 00:39:00.660 And so what I can do is ask just Copilot, what version of DBA Tools do you support? 00:39:00.840 --> 00:39:05.280 And it's like 0.9. And then I say at assistant, and I talk to my assistant, 00:39:05.440 --> 00:39:09.160 and it's the DBA Tools assistant, and it's the newest model. 00:39:09.220 --> 00:39:15.100 So now, whenever that is available for everyone, then we'll be able to integrate 00:39:15.100 --> 00:39:19.200 our AI assistants with Copilot. 00:39:19.200 --> 00:39:24.400 And that solves all of the problems that there's going to be for me that I had with Copilot Chat. 00:39:24.640 --> 00:39:30.800 And so now I won't have to change context because right now I am going here and going there. 00:39:30.960 --> 00:39:35.940 And I leave VS Code so that I could go and get big old chunks of code, 00:39:36.040 --> 00:39:38.680 either from Claude or from OpenAI. 00:39:41.110 --> 00:39:48.030 It's obvious that AI technology can remove a lot of burden from our daily life. 00:39:48.290 --> 00:39:52.070 Yes. And just talking to your phone, which is a bit ludicrous still. 00:39:52.430 --> 00:39:58.310 I love that, yeah. But if you tell the device, show me all the pictures from 00:39:58.310 --> 00:40:02.010 PowerShell conferences throughout the years, and let's find Chrissy. 00:40:02.570 --> 00:40:09.470 And that worked before, but it's on a complete different level with AI technology. 00:40:09.470 --> 00:40:17.950 For me, as a non-English native, my first example is always something like, 00:40:18.030 --> 00:40:22.410 this is not an advertisement, but I have to mention it explicitly because it's so great. 00:40:23.370 --> 00:40:27.130 Something like deepl.com, which is a German company. 00:40:28.410 --> 00:40:36.790 And I was so frustrated with the automated generated translation that were provided in previous years. 00:40:36.790 --> 00:40:44.410 And since technology companies like DeepL are in town, they are way better than I am. 00:40:44.590 --> 00:40:50.430 So, for example, if I write something, I very, very often use it because it 00:40:50.430 --> 00:40:53.330 makes my language better. 00:40:53.550 --> 00:40:59.230 And not because I'm not capable of saying that in English directly or in any 00:40:59.230 --> 00:41:03.410 other language that I speak, but they are doing it better. So, 00:41:03.510 --> 00:41:08.110 translations with artificial intelligence are awesome. 00:41:08.810 --> 00:41:14.650 Another example, here for the conference where we are now, I talked about that last year. 00:41:16.240 --> 00:41:21.360 Whisper.com by OpenAI. Whisper is a service by OpenAI.com. 00:41:22.560 --> 00:41:26.320 Whisper is something that analyzes what, for example, we talk. 00:41:26.560 --> 00:41:31.260 It summarizes it. It gives you perfect chapter marks, stuff like that. Oh, beautiful. 00:41:31.660 --> 00:41:35.900 And if you think about it, you have a transcription of what you hear, 00:41:36.060 --> 00:41:41.060 and then you put it in a translation engine that is mind-blowing. 00:41:41.540 --> 00:41:44.780 It's not that these things not existed before, 00:41:44.780 --> 00:41:47.900 but they were crap. Right! And no 00:41:47.900 --> 00:41:51.160 no one in the united states cared about that because they understand 00:41:51.160 --> 00:41:54.220 their stuff because it's english but the 00:41:54.220 --> 00:42:00.020 translation were crappy and today have a look at the at the Youtube channels 00:42:00.020 --> 00:42:06.600 where people use it it's it's really on another level if you think about photography 00:42:06.600 --> 00:42:13.360 it changes a lot and one of one of the things that we like regular expressions Regular expressions. 00:42:13.620 --> 00:42:21.900 Regular expressions is, again, so great in terms of OpenAI because that is the 00:42:21.900 --> 00:42:25.600 style of technology that OpenAI is very good. 00:42:26.000 --> 00:42:28.840 So that brings me to the next question. 00:42:29.360 --> 00:42:37.540 What do you think is OpenAI, companies like OpenAI and all the others, what is not so good? 00:42:37.840 --> 00:42:40.900 What are they not doing well? 00:42:42.040 --> 00:42:46.020 I think that from what I've read in all of the headlines about OpenAI, 00:42:46.240 --> 00:42:48.280 that they could probably be- Any other company. 00:42:49.020 --> 00:42:53.000 Well, I guess I do want to highlight that. 00:42:55.310 --> 00:43:01.830 OpenAI has a lot of headlines that, you know, they present privacy concerns. 00:43:02.370 --> 00:43:07.730 And I know that I do harp on this, but I love that Microsoft, 00:43:07.830 --> 00:43:14.870 every single time that they talk about AI, they're talking about responsibility and confidentiality. 00:43:14.870 --> 00:43:17.930 And I know that this sounds like an ad, but like, I trust them. 00:43:17.930 --> 00:43:29.710 And so I appreciate that something as powerful as an open AI model is not just available at OpenAI, 00:43:29.850 --> 00:43:40.270 but there's a somewhat trustworthy source elsewhere that really focuses on responsible AI use. 00:43:40.270 --> 00:43:43.810 I was actually in Steven Bucher's, I hope I said his last name right, 00:43:43.910 --> 00:43:47.510 session, and they included a whole slide on it. 00:43:47.570 --> 00:43:51.510 And maybe it could get repetitive, but I actually really like that because I, 00:43:51.650 --> 00:43:58.470 as an AI consumer, I'm not just a developer, but I want to know that my stuff is safe. 00:43:58.630 --> 00:44:03.530 And so that is something that I appreciate. So I think that companies can do 00:44:03.530 --> 00:44:09.330 privacy and control better, and some companies do it better than others. 00:44:09.390 --> 00:44:15.690 As far as all the rest, I did try to opt out of anthropic training, and I wasn't able to. 00:44:15.750 --> 00:44:18.750 So that would be nice if they offered that. 00:44:18.890 --> 00:44:23.950 OpenAI does have privacy.openai.com that you can go and opt out of everything. 00:44:24.370 --> 00:44:28.050 But I'd still prefer to use Azure's implementation by far. 00:44:29.130 --> 00:44:33.650 I don't want to advertise anything I'm just we were talking about experience 00:44:33.650 --> 00:44:37.010 and it's a bit ludicrous not to mention the company names thank you I appreciate 00:44:37.010 --> 00:44:40.230 that because anyone will ask us okay what is that service that you're talking 00:44:40.230 --> 00:44:43.390 about right for those who listen to us in the future, 00:44:44.110 --> 00:44:49.030 have a look at the transcript everything that you see the summary stuff like 00:44:49.030 --> 00:44:54.630 that is supported by the technology and I will provide some links that you could 00:44:54.630 --> 00:44:57.170 check out if you like the one thing or the other. 00:44:58.160 --> 00:45:03.260 You mentioned a couple of services. I remember something like Claude. Yeah. 00:45:04.120 --> 00:45:10.920 Could you give us some names? Because there are some names anybody knows. 00:45:11.400 --> 00:45:15.780 Copilot. Right. That is familiar. Right. But do you have a recommendation? 00:45:15.780 --> 00:45:17.620 What is not so prominent? 00:45:18.100 --> 00:45:27.340 No. So I started using OpenAI first, and then I used Claude, 00:45:27.360 --> 00:45:31.640 I think, because I was writing the book, Generative AI for IT Pros, 00:45:31.920 --> 00:45:36.920 and I'm still in the process of writing it. So I had to try out other services. 00:45:37.260 --> 00:45:43.380 And any time that I start using a service, I slam it with as much information 00:45:43.380 --> 00:45:46.860 as I can because I want to know its limits in that way. 00:45:46.860 --> 00:45:49.840 And you know you I can I uploaded 00:45:49.840 --> 00:45:53.140 a ton to OpenAI and it let me down but 00:45:53.140 --> 00:45:57.040 then I uploaded a ton to Claude now it does have limitations 00:45:57.040 --> 00:46:03.760 that you can only upload five files and then you can only and each of those 00:46:03.760 --> 00:46:13.160 files it's about 600 kilobytes but man does it like memorize and deeply understand those 600 kilobytes. 00:46:13.220 --> 00:46:20.020 So a lot of times I will upload like an entire module and work with Claude. 00:46:20.100 --> 00:46:23.700 That's my number one favorite for the most part. 00:46:23.800 --> 00:46:28.060 Also because it is an excellent coder. 00:46:28.280 --> 00:46:35.960 Whenever you put Claude's code into VS Code and run it, it's going to work. 00:46:36.660 --> 00:46:44.620 And I like the way that it talks. It's not overly apologetic sometimes. 00:46:44.980 --> 00:46:47.320 Sometimes it'll get on a roll. And like everybody on Reddit, 00:46:47.360 --> 00:46:50.280 it's like, oh man, this just keeps apologizing. It's annoying. 00:46:50.520 --> 00:46:55.060 But what I like is that it's like, yeah, you're right. Let me do this. Or good idea. 00:46:55.400 --> 00:46:58.780 And even though it's fake, I really like that encouragement. 00:46:58.860 --> 00:47:02.960 Whereas open AI over time got kind of cold, like here. 00:47:03.420 --> 00:47:06.680 And I'm like, here, but, you know, softness. 00:47:10.720 --> 00:47:14.240 Oh, now, I was trying to answer the rest of your question, but I just don't 00:47:14.240 --> 00:47:17.100 have the answers because I tried Gemini. It was terrible. 00:47:17.480 --> 00:47:21.740 I have not tried Copilot because I didn't have a license at Microsoft Copilot 365. 00:47:22.900 --> 00:47:28.040 And yeah, and when it comes to the open source ones, 00:47:28.280 --> 00:47:33.660 I just want to say real quick, if you want to work with open source models and 00:47:33.660 --> 00:47:39.380 see this, and it creates it at REST API endpoint on your own local computer, in VS Code, 00:47:39.540 --> 00:47:44.720 if you download Microsoft's new extension called AI Toolkit, it is phenomenal, 00:47:44.940 --> 00:47:49.780 and it makes it incredibly easy to run all of those models that we hear about, 00:47:49.900 --> 00:47:52.820 like Mistral, and I don't remember the rest. 00:47:56.180 --> 00:48:00.440 By the way, if you have any kind of questions, something like that, 00:48:00.600 --> 00:48:04.340 keep that in mind, and we will come to that later. 00:48:08.100 --> 00:48:14.860 If we, we're all getting older and older, and we think about the next generation, 00:48:15.420 --> 00:48:22.100 the younger people, and we already have something that people call prompt engineering. 00:48:22.620 --> 00:48:27.800 Yeah. So, when we think about young people not coding anymore, 00:48:28.080 --> 00:48:32.400 for example, the new coding is prompt engineering. 00:48:32.800 --> 00:48:36.220 So, I have something brought with me I want to show you. 00:48:36.900 --> 00:48:45.500 I always think that, wait a second, isn't it time to invest in human resource also? 00:48:45.500 --> 00:48:52.340 Also, because if we think about artificial intelligence based on things that 00:48:52.340 --> 00:48:58.580 already exist, and we still have to invent something new, don't we? 00:48:58.700 --> 00:49:02.620 So, the question is, what is your point of view? 00:49:03.880 --> 00:49:07.860 What is, what's going on with the new generation? Will their, 00:49:08.060 --> 00:49:12.340 what they learn, will it completely change? 00:49:12.740 --> 00:49:17.080 Will it be harder? Will it be easier? with the help of artificial intelligence? 00:49:17.780 --> 00:49:30.660 So as I code using Claude or using OpenAI, I recognize my own skill in actually coding. 00:49:30.840 --> 00:49:35.780 And yes, now I code in English, but the only reason that I know what to say 00:49:35.780 --> 00:49:41.280 and say all day long in English now is because of that experience. 00:49:42.640 --> 00:49:50.980 At this point with AI, I would have a really hard time. 00:49:52.280 --> 00:49:56.580 I haven't seen it, and I don't believe that somebody with no coding experience 00:49:56.580 --> 00:49:58.140 can just develop something. 00:49:58.320 --> 00:50:03.640 Yes, I, as a PowerShell developer, did develop an entire, and it starred on 00:50:03.640 --> 00:50:10.380 my GitHub page, I did develop an entire TypeScript VS Code extension, 00:50:10.540 --> 00:50:12.620 and I don't know it, but I know programming. 00:50:14.960 --> 00:50:19.720 I've read that what's going to happen is that the engine's going to know how 00:50:19.720 --> 00:50:22.980 to better interpret the question and better produce code. 00:50:23.220 --> 00:50:28.040 I never believe things until I see them. And so in that way, 00:50:28.120 --> 00:50:32.900 I have no idea what the kids are going to do or what the future is going to 00:50:32.900 --> 00:50:37.260 be because I haven't seen it just yet. 00:50:38.660 --> 00:50:43.580 I think it's to us, for those who are getting older and educating people, 00:50:44.300 --> 00:50:49.580 really take care that we carry on with the meaningful stuff, 00:50:49.840 --> 00:50:52.360 but that we're already open for something new. 00:50:53.640 --> 00:51:00.240 You know, our parents talked to us, why don't you do handwriting? 00:51:00.240 --> 00:51:03.100 Writing and i said i'm i'm typing 00:51:03.100 --> 00:51:05.960 with 10 fingers that's the new skill that's way 00:51:05.960 --> 00:51:08.780 more important but still we 00:51:08.780 --> 00:51:12.300 think it's important to do some handwriting and 00:51:12.300 --> 00:51:17.540 some people make arts great point yeah so i think uh it's getting harder and 00:51:17.540 --> 00:51:22.820 harder to keep up for the new generation because we have so many tunes right 00:51:22.820 --> 00:51:31.440 so um this is the life situation is something very special so we won't extend that here forever. 00:51:33.040 --> 00:51:37.760 So I thought it would be nice to have something a little bit entertaining and 00:51:37.760 --> 00:51:41.500 I would really encourage you to watch Chris's talks. 00:51:41.580 --> 00:51:47.100 We got great recordings and I hope you will enjoy the details on that. 00:51:47.380 --> 00:51:51.840 And I would like to come for the final part of the talk, I would like to come 00:51:51.840 --> 00:51:57.620 back to something that we already saw. Let me show you what I mean. 00:51:58.750 --> 00:52:04.070 And, of course, if you have anything special, take your time. 00:52:04.290 --> 00:52:09.550 But, first of all, if I got it right, you're from the United States, right? I am. 00:52:09.830 --> 00:52:12.590 And you are from Louisiana, is that right? 00:52:13.030 --> 00:52:18.350 La Louisiana. That is important because there is something special. Ah. 00:52:18.770 --> 00:52:25.530 You're from the, I don't want to pronounce it in a wrong way, the Cajuns. Very Cajun. 00:52:26.190 --> 00:52:31.470 Would you like to explain for those who do not know what is so special about your "tribe"? 00:52:31.650 --> 00:52:36.130 Is it allowed to say it like that? The French speaking Louisiana people? 00:52:36.550 --> 00:52:42.290 Yeah, so there is a 22 parish region down there at the bottom. 00:52:42.330 --> 00:52:46.130 And if you see now, I'm going to start talking with a Cajun accent since I'm 00:52:46.130 --> 00:52:47.270 talking about Cajun stuff. 00:52:47.450 --> 00:52:52.630 So if you look down at the bottom at Vermilion Parish, that's where I'm from. 00:52:52.630 --> 00:52:55.730 I grew up 22 miles from the Gulf of Mexico. 00:52:56.290 --> 00:53:00.770 And, well, it's interesting growing up. 00:53:01.270 --> 00:53:08.090 It was interesting growing up Cajun because I always thought that Cajun people were from New Orleans. 00:53:08.450 --> 00:53:10.370 And, you know, we're just some fakers. 00:53:10.790 --> 00:53:15.630 But it turns out that there's only 1% Cajuns in New Orleans. 00:53:17.430 --> 00:53:24.150 And it's all Creoles that live in New Orleans. and the Cajuns are way over here on the left. 00:53:24.290 --> 00:53:27.390 So we're divided kind of into two parts. But what's also cool, 00:53:27.510 --> 00:53:32.230 I think from a European perspective, he asked like, why can't I understand you? 00:53:32.430 --> 00:53:36.010 And I said, well, this is the accent that I have even at home, 00:53:36.130 --> 00:53:42.250 because like, if you look at like Vernon and Beauregard over there, right? 00:53:43.010 --> 00:53:47.490 All them on up, that's a whole different state. That's like southern Arkansas. 00:53:47.730 --> 00:53:51.830 But everything below I-10, you can't see it, but it's the interstate 10, 00:53:52.030 --> 00:53:55.170 it's all French speakers. 00:53:55.390 --> 00:54:00.470 And the reason is because in 1755, during the Great Expulsion, 00:54:00.770 --> 00:54:02.850 we actually were French-Canadian. 00:54:02.970 --> 00:54:05.970 And then the English came in. Thank you, Ruskin. 00:54:06.290 --> 00:54:11.030 And they booted us out. And then we went. Some of them dropped off in Boston, 00:54:11.430 --> 00:54:13.730 which is why some people think I have a Boston accent. 00:54:13.890 --> 00:54:17.130 And some of them kept going all the way down. And eventually, 00:54:17.310 --> 00:54:24.730 like we brought our ways of cooking and we were very simple agrarians. 00:54:25.030 --> 00:54:29.790 We were very against like joining any wars and things like that. 00:54:29.930 --> 00:54:34.490 And so, but we're also very isolated. So Iberia Parish, you could see to the 00:54:34.490 --> 00:54:38.630 right of Vermilion Parish, they have a completely different dialect than we 00:54:38.630 --> 00:54:41.730 do, kind of like how they have different dialects in Belgium even. 00:54:42.790 --> 00:54:49.390 But yeah, it was a really wonderful place to grow up because we did incorporate 00:54:49.390 --> 00:54:52.330 a lot of, like, there were just, 00:54:52.430 --> 00:54:58.250 there were a lot of traditions that we had that to me were just kind of normal 00:54:58.250 --> 00:55:00.490 and I didn't realize until I left. 00:55:00.650 --> 00:55:03.810 One of those things is boudin, right? 00:55:03.930 --> 00:55:06.550 So if any know y'all speak French. You're like, oh, some sausage. 00:55:06.670 --> 00:55:11.550 But no, our boudin, it's rice and meat mixed together. 00:55:11.990 --> 00:55:16.750 And I thought that was everywhere. You go to the Circle K and you could get that. 00:55:17.390 --> 00:55:22.830 And so I went to the Circle K in California and I said, hey, you got some boudin? 00:55:23.050 --> 00:55:26.810 And he said, what? And I said, you got some boudin? And he was like, what? 00:55:27.370 --> 00:55:32.230 And I was like, some boudin. He was like, we have hot dogs. And it was really weird to me. 00:55:32.370 --> 00:55:35.630 I was like, oh my God, wait. So y'all don't have boudin do you have gumbo, 00:55:36.430 --> 00:55:42.790 Do you have etouffee? And that's whenever I realized that it was just a very unique place. 00:55:44.030 --> 00:55:50.930 Yeah, if I had to go back to America and all things being the same as they were 00:55:50.930 --> 00:55:55.590 back in the day when I grew up, I think that I would either live in New Orleans or Los Angeles. 00:55:56.690 --> 00:55:58.330 Great place if you've never been. 00:55:59.610 --> 00:56:02.950 Yeah, that's an interesting heritage, right? All the different areas. 00:56:02.950 --> 00:56:07.150 Yes, you have French-speaking communities or kind of French. 00:56:07.730 --> 00:56:12.270 No, no, no. So, you know, the reason that I gasped is because, 00:56:12.330 --> 00:56:17.110 so our parents, my mom's first language was French. 00:56:17.330 --> 00:56:19.650 And you say, Chrissy, you know how to speak French? And I say, 00:56:19.730 --> 00:56:26.750 no, because the Americans were like, hey, French, all of you who speak French, you're poor. 00:56:26.970 --> 00:56:30.570 It's a shame that you speak in that language. 00:56:30.650 --> 00:56:37.990 And they literally beat them. So then all of that generation internalized that French is bad. 00:56:38.330 --> 00:56:41.890 Oh, it's and not only that, they thought they spoke the bad French. 00:56:42.230 --> 00:56:46.850 And then whenever I left and then I see all these dialects being spoken everywhere. 00:56:46.990 --> 00:56:50.430 And I was like, that's just French. It's the good French. 00:56:51.130 --> 00:56:54.750 And so, yeah, but I also did want to let y'all know my last name's La Mer. 00:56:54.970 --> 00:56:58.170 My parents know how to speak it. It was too shameful to teach us. 00:56:58.270 --> 00:57:02.170 They all regret it now. and now all the younger kids, they're all learning French. 00:57:05.270 --> 00:57:09.210 I wanted to emphasize that there are a couple of regions, also in Canada, 00:57:09.370 --> 00:57:15.050 where Montreal, I think, is the area where people speak kind of French. 00:57:16.310 --> 00:57:23.870 And on the East Coast, very popular, the Dutch, Pennsylvanians that speak kind 00:57:23.870 --> 00:57:29.050 of German, which, by the way, is, again, very confusing because they name it 00:57:29.050 --> 00:57:30.670 Dutch, but they mean German. 00:57:30.870 --> 00:57:33.870 Well, that's a different story. I could go on forever about that. 00:57:33.910 --> 00:57:35.110 That's a freaking story. 00:57:35.270 --> 00:57:40.070 But I have a little quiz for you. 00:57:40.290 --> 00:57:42.830 So now you have to be careful. Yeah. 00:57:44.270 --> 00:57:51.070 And to finish with our nice talk here, I brought something with me. 00:57:52.190 --> 00:57:57.210 So now that you're rooted in the French language. Yes. I want to check out how 00:57:57.210 --> 00:57:58.770 good is your French. Okay. 00:57:59.330 --> 00:58:05.650 Pas bon. So, and all you have to do is tell me what is the topic. 00:58:06.870 --> 00:58:13.630 You will hear some French and you will see. And tell me it is soccer. If it's software. 00:58:14.210 --> 00:58:19.250 Soccer. Soccer. Or it is computer. Let's do it. Or it is hairdress. 00:58:19.370 --> 00:58:20.910 I think I can do this. What is the topic? 00:58:21.170 --> 00:58:24.830 I think I can do this. You got it? You got it. So look at that. Yeah. 00:58:25.630 --> 00:58:27.750 And wait a minute. Got it. 00:58:28.890 --> 00:58:33.310 "Les monades sont le terme utilisé par Leibniz pour désigner l'unité fondamentale 00:58:33.310 --> 00:58:36.850 de l'existence qui s'agrège en composé pour réaliser un objectif. 00:58:37.210 --> 00:58:40.490 Dans cette philosophie, tout est une composition de monade. 00:58:40.910 --> 00:58:44.330 C'est ce que nous voulons réaliser avec la gestion composable." 00:58:45.210 --> 00:58:50.690 Man, I don't know, but it was beautiful. So for those who are listening to us, 00:58:50.870 --> 00:58:52.770 Chrissy also sees the text. 00:58:53.570 --> 00:59:01.110 So what does that come from? You're very familiar with the original text. Any idea? 00:59:04.260 --> 00:59:08.780 You can guess. All right. So let me go through this line by line. 00:59:09.400 --> 00:59:16.860 So I feel like one is Leibovitz (Leibniz). Oh, my God. Oh, fundamentals of PowerShell. Hell yes. 00:59:17.180 --> 00:59:20.420 All right. Okay. PowerShell is hot. It's good. It's a good idea. 00:59:20.480 --> 00:59:22.420 Okay. Okay. Philosophy. 00:59:23.700 --> 00:59:28.280 How is that called in English? What? Philosophy? Yeah. 00:59:28.940 --> 00:59:33.520 PowerShell and philosophy. What is famous? Monad. Exactly. 00:59:34.620 --> 00:59:35.900 Who wrote that? 00:59:38.600 --> 00:59:42.860 Who wrote the... Did someone recognize it? 00:59:43.580 --> 00:59:49.340 Okay, I guess we can agree that she already understood it, right? 00:59:49.420 --> 00:59:51.660 So it has to do with PowerShell and with the Monads. 00:59:52.460 --> 00:59:57.800 And now for all of us, you get the translation, but be aware, 00:59:58.000 --> 01:00:05.640 if you don't want to go to the United Kingdom, kingdom, this is what you should expect. Wait a second. 01:00:07.040 --> 01:00:11.940 The Monad Manifesto. Monads are Leibniz's term for the fundamental unit of existence 01:00:11.940 --> 01:00:14.400 that aggregates into compounds to implement a purpose. 01:00:14.700 --> 01:00:17.460 In this philosophy, everything is a composition of monads. 01:00:17.940 --> 01:00:20.540 This captures what we want to achieve with composable management. 01:00:22.340 --> 01:00:26.300 I love it. Thanks to James Ruskin and thanks to Geo (Dubreuil). 01:00:27.220 --> 01:00:33.020 I'm too afraid to spoil up your surname. So thanks to James and Geo. 01:00:33.300 --> 01:00:37.760 Thank you very much. That was beautiful on both of your parts. I loved it. 01:00:37.860 --> 01:00:42.680 I got to say, though, this is hard even in English. These are some big words. 01:00:43.080 --> 01:00:45.780 Pardon me? These are some big words even in English. 01:00:46.220 --> 01:00:49.940 Yeah, exactly. It's Gottfried Wilhelm Leibniz. 01:00:50.060 --> 01:00:56.220 It's not easy to understand. But this is a little part of the Monad Manifesto from Jeffrey Snover. 01:00:56.400 --> 01:01:02.120 And that is the root source of PowerShell, as I guess anybody knows who is in 01:01:02.120 --> 01:01:05.500 the room and maybe anyone who's listening to us. 01:01:05.920 --> 01:01:10.300 So the very, very final thing that we do now to say thank you. 01:01:11.080 --> 01:01:17.180 I do something that is a bit awkward because I guess you're familiar with the 01:01:17.180 --> 01:01:26.020 saying, I'm carrying oars to Athens. I was sad that we are all also carrying coals to Newcastle. 01:01:26.280 --> 01:01:31.780 For those who know what I'm talking about, carrying or taking oaths to Athens 01:01:31.780 --> 01:01:35.360 is a saying where you describe that you do something very, very, 01:01:35.360 --> 01:01:39.780 very useless, right? Useless. Useless. Got it. 01:01:40.620 --> 01:01:44.860 And I thought we're here in Belgium, so I bring some beer. 01:01:45.260 --> 01:01:51.880 Oh, yes. That is definitely carrying owls Athens, but I have a certain reason 01:01:51.880 --> 01:01:53.240 for that. Let me show you. 01:01:54.540 --> 01:01:56.100 Because I know... 01:01:57.740 --> 01:02:04.660 One more thing that we have in common. Chrissy and I, we both do love beer. 01:02:04.920 --> 01:02:13.040 So for those who listen, enjoy, but not too much. So be careful. 01:02:14.580 --> 01:02:20.400 And I thought, yes, it is a bit ludicrous to bring beer to Belgium. 01:02:20.420 --> 01:02:27.860 But since the craft beer scene is evolving so greatly. Oh, look at that. 01:02:28.100 --> 01:02:34.720 I brought something very, very special from my home area, from a garage craft beer brewery. 01:02:35.260 --> 01:02:40.740 I don't make here any advertisement, but I'm pretty sure you will never get that beer. 01:02:40.880 --> 01:02:45.020 So I want to say thank you, Chrissy, for taking your time. 01:02:45.300 --> 01:02:50.280 This is awesome. I would like to say thank you for all the work you do and for 01:02:50.280 --> 01:02:53.300 all the inspiration that you give us to us. 01:02:53.380 --> 01:02:57.260 And that's my way of saying thank you. And if you agree, maybe you can give 01:02:57.260 --> 01:03:01.040 a hand of applause for the work you're doing. Thank you. Thank you so much. Thank you. 01:03:03.720 --> 01:03:06.760 This is awesome. Shall we break it open? 01:03:07.140 --> 01:03:13.080 Of course. To be careful, there is the master class on IPA. 01:03:13.200 --> 01:03:16.860 Very high alcoholic for an American guest, of course. 01:03:17.320 --> 01:03:21.860 And the taller one is a session-level beer. So if you want it, 01:03:21.940 --> 01:03:24.200 open it and let's have a drink. 01:03:24.740 --> 01:03:28.120 I've lived in Belgium for a real long time, so I'm going for the 8%. 01:03:28.120 --> 01:03:29.640 You want a little bit more. 01:03:30.020 --> 01:03:34.760 Yeah. But Dick cares. Wait a second. I do want to thank you for choosing the 01:03:34.760 --> 01:03:36.640 photo with the nose strip on. 01:03:39.780 --> 01:03:43.360 So sometimes, you know, being an American in Europe, I can't breathe. 01:03:43.480 --> 01:03:47.660 And as a matter of fact, before doing this podcast, I made sure that I can't 01:03:47.660 --> 01:03:49.000 wear these nose strips in public. 01:03:49.040 --> 01:03:53.100 So I use some Afrin to make sure that I can breathe. But in this case, 01:03:53.220 --> 01:03:57.480 you know, I thought I'll just upload this stupid picture real quick to Twitter, 01:03:57.600 --> 01:04:00.640 you know, to show people that I'm drinking some left. 01:04:01.000 --> 01:04:04.840 Nobody's really going to see this no strip across. So thank you, 01:04:04.840 --> 01:04:05.980 Thorsten, for, you know. 01:04:06.460 --> 01:04:12.580 Thanks for having us. Bringing it to the people. Thank you. And thank you. So cheers. Cheers. 01:04:14.160 --> 01:04:19.380 To absent friends. To Friends and PowerShell. Yeah. Thank you. 01:04:22.960 --> 01:04:34.130 Music.