1 00:00:00,000 --> 00:00:05,400 So I've been reading a bunch of the headlines over the news, and I hear this Pokemon Go is a big thing. 2 00:00:05,500 --> 00:00:09,100 Now, I, of course, having a six-year-old, have seen some Pokemon cartoons. 3 00:00:09,100 --> 00:00:10,960 He's more of a Digimon kid. 4 00:00:11,860 --> 00:00:16,120 And if you were to ask me the differences between the two, I'm sure I could make a mockery of existence. 5 00:00:17,360 --> 00:00:20,500 But do you know what this Pokemon Go thing is? 6 00:00:20,660 --> 00:00:21,400 What's the story? 7 00:00:21,800 --> 00:00:22,620 Oh, my gosh. 8 00:00:22,780 --> 00:00:26,180 I mean, I'll admit I played it over the weekend with my son because it was fun. 9 00:00:26,300 --> 00:00:35,900 I mean, it seems like it's the first interesting marrying of, you know, AR, not full VR, you know, virtual reality stuff, augmented reality stuff. 10 00:00:35,900 --> 00:00:37,140 Oh, not analyst relations? 11 00:00:37,600 --> 00:00:38,740 Yeah, right. 12 00:00:39,220 --> 00:00:44,540 But actually, you know, I saw some video this morning of, you know, Central Park in New York was packed. 13 00:00:44,620 --> 00:00:49,200 And it was just people with their heads down on their phone all looking for Pokemon because you catch them in the real world. 14 00:00:49,760 --> 00:00:50,580 Amazing stuff. 15 00:00:50,700 --> 00:00:53,820 I mean, Nintendo's stock price is up 25%, I think, today. 16 00:00:54,040 --> 00:01:00,620 It's something that's nuts that this is just kind of captured the interest of adults somehow as well as children. 17 00:01:00,620 --> 00:01:07,980 So, you know, it was also funny reading on Twitter some people who were accidentally getting sore from exercising so much because they were walking around their neighborhoods. 18 00:01:08,320 --> 00:01:10,500 Now, let's slow down here. 19 00:01:10,960 --> 00:01:17,580 I heard augmented reality, Nintendo, soreness, Central Park share prices going up. 20 00:01:18,060 --> 00:01:18,280 Right. 21 00:01:18,420 --> 00:01:20,340 But what is Pokemon Go? 22 00:01:20,520 --> 00:01:20,880 Like, what? 23 00:01:21,000 --> 00:01:21,540 It's a game. 24 00:01:21,860 --> 00:01:23,060 That's all I know. 25 00:01:23,980 --> 00:01:24,260 Yep. 26 00:01:24,420 --> 00:01:34,780 It's a game for, I think it's iOS and Android, where you, it mixes up your GPS on your phone as well as, you know, I think it uses data as well. 27 00:01:35,040 --> 00:01:38,480 You're walking around and it lets you know where there's Pokemon in your neighborhood. 28 00:01:38,480 --> 00:01:45,460 And when you hold up your phone, it actually overlays the little monster on top of a bush or on top of it in the street or something like that. 29 00:01:45,500 --> 00:01:47,020 And you have to throw a little ball and catch it. 30 00:01:47,220 --> 00:01:49,520 Oh, that's amazing. 31 00:01:49,820 --> 00:01:50,140 It's pretty cool stuff. 32 00:01:50,460 --> 00:01:50,580 Yeah. 33 00:01:50,640 --> 00:01:55,720 I mean, my son and I wandered around our neighborhood for 45 minutes the other day catching little guys. 34 00:01:55,860 --> 00:01:56,800 And he thought it was a blast. 35 00:01:57,060 --> 00:02:03,780 And correct me if I'm wrong, but the whole premise of Pokemon is that there are kids and they're assigned like this character. 36 00:02:04,100 --> 00:02:13,040 And they use these characters as proxies for, as another podcast would say, neighborhood stick fights, where they fight the Pokemon with each other to see who a winner is. 37 00:02:13,040 --> 00:02:24,200 So, basically, this Pokemon Go, in so much as you're holding a phone in front of your face, is kind of like simulating that idea, except for individuals. 38 00:02:24,340 --> 00:02:33,820 So, you could, I'm assuming, in addition to just throwing a ball, and if they don't do this now, you would logically do it, is you could actually meet up with someone and have your Pokemon fight with each other. 39 00:02:34,120 --> 00:02:36,900 Like, just like the actual show and everything. 40 00:02:37,500 --> 00:02:38,040 Yeah, exactly. 41 00:02:38,040 --> 00:02:45,640 You know, and then we won't think about the fact that you're smushing little monsters into balls and probably injuring them, that in real life is more Pokemon. 42 00:02:45,900 --> 00:02:53,660 And then, maybe if you cross that with that Google Cardboard business, you're just, next thing you know, we're just providing energy for the big grid somewhere. 43 00:02:54,360 --> 00:03:05,540 Yeah, but what's been interesting from a, if we somehow swing this back to enterprise business, is that some companies have actually been able to make themselves hotspots so that people would come into their shop because there'd be Pokemon in there. 44 00:03:05,540 --> 00:03:09,380 So, there's a way to actually intercept kind of the real world with this. 45 00:03:09,440 --> 00:03:12,720 There's also stories of people getting robbed and getting coerced to different areas. 46 00:03:12,960 --> 00:03:13,280 Really? 47 00:03:13,360 --> 00:03:13,820 Let's ignore that. 48 00:03:14,120 --> 00:03:21,940 But the idea of, you know, you could now have a way to monetize this sort of model being a business by being a destination for these things. 49 00:03:22,000 --> 00:03:26,820 So, it's going to be an interesting world where you actually force people to leave their house now, even though they keep their phone in their face. 50 00:03:26,940 --> 00:03:27,860 Well, that is amazing. 51 00:03:28,160 --> 00:03:31,140 You know, that hooks up really well with this whole Snapchat business. 52 00:03:31,260 --> 00:03:42,960 Another thing I understand the kids like, where basically, as I understand it, you can take a picture or a video of yourself and overlay a mustache on your face and send that to your friend. 53 00:03:43,680 --> 00:03:45,480 And then, that's business. 54 00:03:46,080 --> 00:03:46,180 Right. 55 00:03:46,380 --> 00:03:48,180 That's easier than me growing a real mustache. 56 00:03:51,340 --> 00:03:51,740 Yeah. 57 00:03:51,840 --> 00:03:55,540 No, that actually, like being less flippant about it and jokey. 58 00:03:55,660 --> 00:03:56,940 Yeah, that actually does sound cool. 59 00:03:57,000 --> 00:03:58,460 I saw a screenshot of it. 60 00:03:58,880 --> 00:04:05,280 And, you know, as I found out, like yourself, I'm one of the five people left in the world who still reads RSS feeds. 61 00:04:05,800 --> 00:04:08,420 So, I saw all these headlines about Pokemon Go. 62 00:04:08,520 --> 00:04:11,880 And then, I saw this one screenshot that was like an augmented reality thing. 63 00:04:12,040 --> 00:04:15,440 And I got to thinking, oh, I see what they did there. 64 00:04:15,560 --> 00:04:16,580 That sounds really cool. 65 00:04:16,660 --> 00:04:17,920 So, that is interesting. 66 00:04:18,340 --> 00:04:18,420 Huh. 67 00:04:18,560 --> 00:04:18,780 Yeah. 68 00:04:19,040 --> 00:04:25,540 But much like most trends in our own Pivotal's Justin Smith just tweeted out a few minutes ago that he was complaining about the permissions. 69 00:04:25,540 --> 00:04:28,200 Because it more or less asked for God permissions on your phone. 70 00:04:28,200 --> 00:04:28,620 Yeah, yeah. 71 00:04:28,920 --> 00:04:32,060 So, you know, we just accept that to play with Pocket Monsters for free. 72 00:04:32,220 --> 00:04:32,420 Yeah. 73 00:04:32,500 --> 00:04:45,680 I would say compared to the world of RBAC and auditors and, you know, repaving, the granularity of permissions on iOS devices is consumer grade. 74 00:04:46,140 --> 00:04:46,500 Mm-hmm. 75 00:04:46,980 --> 00:04:47,460 Right. 76 00:04:48,200 --> 00:04:51,300 But, you know, it is a lot better than the old desktop experiences. 77 00:04:51,960 --> 00:04:53,640 Anyways, that would be a whole other tangent. 78 00:04:54,120 --> 00:04:54,340 Indeed. 79 00:04:55,000 --> 00:05:03,440 Well, you know, this week, after we go over some brief news items, I thought we could preview a little bit of our upcoming conference, SpringOne Platform. 80 00:05:03,620 --> 00:05:06,120 I think that's August 1st to 4th, if I recall. 81 00:05:06,660 --> 00:05:07,000 Yes. 82 00:05:07,180 --> 00:05:07,960 At the Aria. 83 00:05:08,500 --> 00:05:09,800 A place I have never been. 84 00:05:10,460 --> 00:05:11,260 But it should be great. 85 00:05:12,120 --> 00:05:12,220 No. 86 00:05:12,220 --> 00:05:13,440 No, Vegas in August. 87 00:05:13,640 --> 00:05:15,600 I mean, you're going to be a shrunken head by the time you go home. 88 00:05:17,040 --> 00:05:17,780 It's going to be hot. 89 00:05:17,780 --> 00:05:30,440 As I like to tell people, the airport to hotel experience in Las Vegas is perhaps the best you will ever have, except if you were in Brussels and there was a conference you were going to at the Sheraton across the street. 90 00:05:30,880 --> 00:05:34,040 But other than that, I think it's the best transfer. 91 00:05:34,180 --> 00:05:34,420 Don't. 92 00:05:34,620 --> 00:05:37,880 And if the cab driver asks you to take the highway, say no. 93 00:05:38,200 --> 00:05:39,080 Don't go on the highway. 94 00:05:39,320 --> 00:05:41,440 Of course, if you're expensing it, what do you care? 95 00:05:41,900 --> 00:05:44,000 But maybe you should care on behalf of your company. 96 00:05:44,480 --> 00:05:48,940 Anyhow, so in addition to Pokemon Go, I blogged about this a little bit. 97 00:05:49,940 --> 00:06:01,600 There was a good chart, I think, reported over Barron's about a Morgan Stanley report saying that the prediction was, and given that I blogged this, I should know it better and maybe look at it. 98 00:06:01,640 --> 00:06:12,320 But essentially, over the next five years or so, that based on a survey they did of 100 people or something, that Azure would eclipse that is overrun AWS for cloud usage. 99 00:06:12,320 --> 00:06:19,460 And if I remember the methodology, so to speak, it was asking about the surveyed people's intentions and what they want to do. 100 00:06:19,540 --> 00:06:22,500 The old, what do you do now versus what are you planning on doing? 101 00:06:22,560 --> 00:06:24,360 Which I think is always an interesting question. 102 00:06:24,880 --> 00:06:27,000 And, you know, as I wrote up, I don't know. 103 00:06:27,120 --> 00:06:30,880 I mean, it's not completely bad at all. 104 00:06:31,120 --> 00:06:35,300 But predicting things like this with that kind of methodology is always difficult. 105 00:06:35,440 --> 00:06:38,220 But I think it's a good, is directional the right word? 106 00:06:38,420 --> 00:06:41,080 I mean, I think it's interesting and notable, obviously. 107 00:06:41,460 --> 00:06:43,660 And it does, I mean, tell me what you think about this. 108 00:06:43,700 --> 00:06:47,840 I think you're a lot closer to the Microsoft world as a whole than I am. 109 00:06:48,440 --> 00:06:57,700 But it does seem like when you go talk with organizations, they, on paper, if not also in practice, they really like the idea of Azure. 110 00:06:58,000 --> 00:07:02,760 And there's a lot of, as we were talking last episode with Kevin Hoffman, there's a lot of .NET out there. 111 00:07:02,760 --> 00:07:14,780 And the idea that you could just seamlessly transition it, which ends up being sort of like a unicorn of its own, maybe more like a, you know, a dwarf or a hobbit or some other mythical creature. 112 00:07:14,940 --> 00:07:17,640 It ends up being a very difficult thing in cloud. 113 00:07:17,800 --> 00:07:22,880 So if that thing is made easier because it's all in the Microsoft stack, there is a lot of appeal to it. 114 00:07:22,940 --> 00:07:33,580 And then, you know, technically and all the other stuff, as always, being the meatware guy, like technologically, it's all maybe not equivalent, but it all checks out no matter which public cloud to use. 115 00:07:33,780 --> 00:07:34,960 Things seem to be okay. 116 00:07:35,240 --> 00:07:37,080 But what's your feel on that? 117 00:07:38,000 --> 00:07:45,700 Yeah, I mean, Microsoft's got, of any cloud that's probably got service to service, kind of if you're checking boxes saying, well, can you do this? 118 00:07:45,780 --> 00:07:46,500 Can you do Hadoop? 119 00:07:46,580 --> 00:07:47,360 Can you do messaging? 120 00:07:47,540 --> 00:07:48,960 Can you do IaaS, PaaS, whatever? 121 00:07:49,520 --> 00:07:51,520 Okay, you're going to find a lot of similarities there. 122 00:07:51,660 --> 00:07:53,860 Microsoft's doing a lot of the right things there. 123 00:07:53,960 --> 00:08:02,020 Their hybrid story is probably the best in public cloud in terms of respecting whatever you're doing on premises and trying to give you the same tool set. 124 00:08:02,020 --> 00:08:07,700 Whether you like hybrid clouds or not, the reality is that people are trying to smash together their different clouds. 125 00:08:08,100 --> 00:08:09,680 Microsoft does a nice job with that. 126 00:08:10,620 --> 00:08:18,800 What is interesting about that survey was, and I think you pointed out and some others did, I mean, first it was a CIO survey. 127 00:08:19,160 --> 00:08:24,680 And we could have an entire podcast on whether we believe CIOs are making actual technology decisions or whether they're paying for them. 128 00:08:24,780 --> 00:08:25,960 I think they're paying for them. 129 00:08:25,960 --> 00:08:30,480 The decisions are being made ahead of time by devs and other people who are using these products. 130 00:08:30,960 --> 00:08:39,320 So you're interviewing them, and one of those telling stats was I think it was something like 53% of them said they weren't using public cloud, which is insanity, right? 131 00:08:39,400 --> 00:08:41,560 There's a 0% chance that that's accurate. 132 00:08:41,920 --> 00:08:58,060 Yeah, to break in there a little bit, my old buddy and one of my old bosses at RedMonk, Stephen O'Grady, he tactically latched onto that to be like, this is all bogus, which I think is a fair sort of cautionary analysis. 133 00:08:59,580 --> 00:09:00,020 Right. 134 00:09:00,120 --> 00:09:02,020 I think it doesn't mean the whole thing is garbage. 135 00:09:02,160 --> 00:09:08,860 I think it just means that it's telling, again, that CIOs typically don't know what's happening everywhere because a lot of these are big companies. 136 00:09:09,300 --> 00:09:14,420 And you have IT spend, quote unquote, happening in other units. 137 00:09:14,580 --> 00:09:18,440 Marketing or manufacturing can go hire devs and swipe a credit card and use Salesforce. 138 00:09:18,680 --> 00:09:20,780 They don't need central IT's permission anymore. 139 00:09:21,280 --> 00:09:23,880 So can they have a full pulse on everything? 140 00:09:24,000 --> 00:09:24,860 Probably not. 141 00:09:25,440 --> 00:09:34,140 Devs are the one probably choosing what cloud a company is going to use long term, and then a CIO pays for it whenever it actually emerges to their visibility where they see that they're using it. 142 00:09:34,140 --> 00:09:35,760 So, interesting stuff. 143 00:09:36,080 --> 00:09:37,860 You know, Amazon's got a great head start. 144 00:09:38,700 --> 00:09:42,620 Don't discount Google, who's also doing some pretty awesome, amazing stuff in this space. 145 00:09:43,360 --> 00:09:45,780 You know, it's great to see tons of investment here. 146 00:09:46,360 --> 00:09:49,360 Yeah, I pity, to some extent, that poor CIO who has to make the choice. 147 00:09:49,460 --> 00:09:54,940 I think, to some extent, that's where Pivotal likes to come in and say, gosh, the IaaS is irrelevant. 148 00:09:55,340 --> 00:09:58,920 What matters is the platform on top, and we'll just run on any of them. 149 00:09:59,280 --> 00:10:04,180 As you saw, even with GE and Predix announcing today that they're going to run on Azure, which runs on PCF. 150 00:10:04,660 --> 00:10:10,020 So, you know, the cloud doesn't matter as much if you decide to move up to a platform abstraction. 151 00:10:11,120 --> 00:10:19,460 Yeah, definitely, and that's, you know, we referenced this last time, but then there's a, we have a Pivotal blog post that has been basically a pointer toast. 152 00:10:19,680 --> 00:10:21,260 Toast? A pointer post. 153 00:10:21,920 --> 00:10:29,660 I had to serve my son toast this morning because he's sick, and, you know, we don't usually give him toast, so it was odd seeing him eating toast. 154 00:10:29,840 --> 00:10:30,920 I'm not a big toast family. 155 00:10:31,480 --> 00:10:34,400 Put butter on it, and, you know, butter and honey on toast is delicious. 156 00:10:34,640 --> 00:10:50,360 But speaking of being delicious, yeah, you know, that write-up that you asked me to do for InfoQ on multi-cloud stuff, it kind of hits on and starts on a little bit of those notions that, you know, you shouldn't really worry about the infrastructure so much as a core enabler of things. 157 00:10:50,460 --> 00:10:59,860 I mean, in the same way that, like, I don't know, it's probably not that big of a deal what kind of tires you use on your car, but they sure are necessary for most people. 158 00:10:59,860 --> 00:11:03,560 Unless you're, like, racing and you're flash trading and stuff like that. 159 00:11:04,100 --> 00:11:24,500 But anyhow, you know, I guess ironically to that point, we, here at Pivotal, we announced a partnership with Canonical around Ubuntu support, which I think the way you, using the tire metaphor again, the way you get out of that ironic mud pit with a piece of board is, it's basically, as James Watters was tweeting this, 160 00:11:24,500 --> 00:11:37,920 but when, you know, when he and other people go out and you kind of explain the Pivotal Cloud Foundry and Cloud Foundry concept, to some extent, in, well, at least from the perspective of definitely a CIO, it makes operating systems not really matter anymore. 161 00:11:38,240 --> 00:11:51,200 And it can also, I mean, depending on, at least in this instance, it can remove a tremendous amount of money you have to spend on it, instead of being beholden to the funky licensing scheme that people are used to in that space. 162 00:11:51,400 --> 00:11:52,720 Which, which I think is nice. 163 00:11:52,720 --> 00:12:04,080 Like, and also, you know, we were talking about security earlier, when you embed something as we do, when you embed an operating system like Ubuntu in the platform, as long as you trust us, which you totally should, we know what we're doing. 164 00:12:04,080 --> 00:12:13,180 It makes your security issues a lot easier to deal with, if people can't muck with, with the operating system and you're all using the same one and it gets patched. 165 00:12:13,240 --> 00:12:19,000 And it's, it's one of those, I think it's that, that topic, I'm by no means a security expert. 166 00:12:19,200 --> 00:12:31,600 We have other people for that, which I would refer you to, but, but that illustrates an interesting point in a lot of cloud native conversations I get with where some of the, you could call them objections or what about types of things. 167 00:12:31,920 --> 00:12:36,500 But, you know, one of the questions you would get is like, well, what about updating operating systems and what about this? 168 00:12:36,760 --> 00:12:43,040 And it's an interesting position of cloud platforms where it's basically like, yeah, you don't do that, right? 169 00:12:43,160 --> 00:12:46,520 Like, like, like, you no longer worry about the operating system or doing things. 170 00:12:46,520 --> 00:12:50,220 And it often takes some people like a shift away of, of thinking about that. 171 00:12:50,220 --> 00:12:53,140 Like, you know, it's, it's to use a car metaphor again. 172 00:12:53,140 --> 00:12:56,940 There's, there's always like, yeah, you don't really need to worry about opening the hood. 173 00:12:57,040 --> 00:12:58,940 This thing kind of takes care of itself. 174 00:12:58,940 --> 00:13:04,420 And every now and then you need to open the hood, but it's not really how you should be thinking about operating this. 175 00:13:04,860 --> 00:13:11,580 Instead, you should focus on our awesome iOS configuration that just works instead of having to futz with it all the time. 176 00:13:12,360 --> 00:13:12,460 Yeah. 177 00:13:12,480 --> 00:13:16,100 I think the key is you got to go, you have to know where you're getting, what you're getting into there. 178 00:13:16,160 --> 00:13:23,100 That if you decide that, look, we're doing immutable infrastructure, the OS doesn't matter, but then you don't patch often or you don't refresh your images often. 179 00:13:23,100 --> 00:13:26,600 And now you're, you're stuck because now you've got all these stale things that everyone keeps deploying. 180 00:13:26,820 --> 00:13:35,360 So there's got to be some sort of mix that if you decide the OS doesn't matter, then you need to give it over to a platform that still takes care of it because the OS still matters to somebody. 181 00:13:35,980 --> 00:13:39,540 Maybe it just matters less to you versus saying, eh, the OS, it's transient. 182 00:13:39,660 --> 00:13:42,140 We just build a bunch of stuff and we tear it down quick. 183 00:13:42,220 --> 00:13:47,020 Well, if you don't do the tear it down quick, you don't repave it or you don't, then you really get yourself in trouble. 184 00:13:47,140 --> 00:13:53,540 So I think it's, it's key that if you want to go hands off with the OS, you make sure that something else is taking that responsibility on. 185 00:13:54,360 --> 00:13:54,680 Absolutely. 186 00:13:55,140 --> 00:13:55,360 Yeah. 187 00:13:55,500 --> 00:13:55,720 Yeah. 188 00:13:55,720 --> 00:14:06,340 It's, it's like, uh, it's, it's like, you know, in, in old visions of, uh, of, of the future and science fiction visions, people would just come like mechanics would come to your domicile and just update things for you. 189 00:14:06,340 --> 00:14:07,260 Just take care of them. 190 00:14:07,460 --> 00:14:09,100 You don't have to worry about it, man. 191 00:14:09,160 --> 00:14:09,860 That would, that would be nice. 192 00:14:09,940 --> 00:14:13,800 Wouldn't it be nice if auto mechanics just came to your house, just fix stuff for you? 193 00:14:13,860 --> 00:14:16,180 I used to have a mechanic like that, but then he retired. 194 00:14:16,820 --> 00:14:19,740 I, I, I, my gardener is that person for me. 195 00:14:19,780 --> 00:14:22,920 Instead of me slicing off my own hand, he, he trims the bushes. 196 00:14:23,200 --> 00:14:23,560 Yeah. 197 00:14:23,720 --> 00:14:23,940 Yeah. 198 00:14:23,940 --> 00:14:26,320 I've got a green thumb so that you can keep your thumbs. 199 00:14:26,800 --> 00:14:28,080 That's a free one for him. 200 00:14:29,820 --> 00:14:39,920 Well, speaking of, uh, of, of recontextualizing the way you think about your IT stack, we've got our, our big conference SpringOne platform coming up, uh, August. 201 00:14:39,920 --> 00:14:41,120 First to fourth, as I mentioned. 202 00:14:41,120 --> 00:14:49,040 And I, and I, we were both thinking that for this episode, uh, what we should do is just kind of go over a little bit of preview or like our, our picks of what's going on there. 203 00:14:49,520 --> 00:14:55,520 And, uh, you know, I, I went, I picked over the, uh, the session list and, uh, picked out some things that I thought was interesting. 204 00:14:55,520 --> 00:15:04,060 But, but why don't you tell me, what, what are you looking forward to other than discovering, uh, what was it other than getting your head shrunk and being able to fit in that old hat? 205 00:15:04,560 --> 00:15:07,240 Well, I mean, just Vegas and August, good Lord. 206 00:15:07,420 --> 00:15:21,400 But, you know, it's funny as we talked to organizers, it's tricky to find places to hold conferences of this size as we're expecting, you know, 1500, 2000 plus people coming that, you know, it's easy to find the thousand person, 500 person conference room relatively. 207 00:15:21,760 --> 00:15:26,720 But once you start getting into that multi-thousand, there's only a few places you can do that in the United States. 208 00:15:27,280 --> 00:15:36,680 So Vegas, there always seems to be room because it's conference central, but from a conference perspective, I don't know if I've looked forward to a conference this much in a very long time. 209 00:15:36,680 --> 00:15:49,640 I say that because I just look at that session list and the team put together such an interesting set of things that it doesn't matter if you're not a spring person because there's some awesome data story stuff and there's some great CICD stuff. 210 00:15:49,640 --> 00:15:53,760 Or if you are a spring person, my gosh, the depth on some of these is awesome. 211 00:15:53,760 --> 00:16:05,460 So I just, I love the mix of really deep technical stuff, some squishy, businessy, important, but not, you know, I'm not going to rewrite in code sort of sessions, some great looking keynotes. 212 00:16:05,540 --> 00:16:08,480 So sure, I picked five things that I was really looking forward to. 213 00:16:08,600 --> 00:16:12,040 We can either duel them back and forth or I can list my five for you right now. 214 00:16:12,180 --> 00:16:12,580 Yeah, yeah. 215 00:16:12,640 --> 00:16:13,660 What are the five? 216 00:16:13,760 --> 00:16:14,620 Let's go over them. 217 00:16:15,440 --> 00:16:15,660 Yeah. 218 00:16:15,760 --> 00:16:19,620 So the first one, again, there's, you know, the caveat is there's like a hundred sessions. 219 00:16:19,620 --> 00:16:21,640 So I can down select to five. 220 00:16:21,780 --> 00:16:23,780 I'm going to attend as many as physically possible. 221 00:16:23,900 --> 00:16:25,260 These were just a few that stood out. 222 00:16:25,360 --> 00:16:29,040 There's one that's going to be, it's called 12 factor cloud native apps. 223 00:16:29,160 --> 00:16:32,940 What exactly does that mean for spring developers by a fellow from the Home Depot? 224 00:16:33,360 --> 00:16:34,780 And I like case studies. 225 00:16:34,780 --> 00:16:43,900 I like when people start talking about what they're trying to do because we all can get stuck in our echo chambers and just look at the unicorn scenarios and makeup scenarios. 226 00:16:44,060 --> 00:16:46,880 I love when somebody says, this is what I tried and this is what happened. 227 00:16:46,960 --> 00:16:51,680 In this session, if you look at the abstract, it's much about how do I take these 12 factor apps? 228 00:16:51,760 --> 00:16:52,900 How do they work in spring? 229 00:16:53,520 --> 00:16:56,080 And then how do you think about those in the form of a platform? 230 00:16:56,640 --> 00:17:03,240 You know, I just like hearing how people try to apply what sometimes can feel like abstract principles in their real life. 231 00:17:03,300 --> 00:17:03,980 So that's the first one. 232 00:17:04,360 --> 00:17:04,520 Yeah. 233 00:17:04,640 --> 00:17:09,840 And that's, that's one that I picked as well for, for the reasons that, uh, that you went over. 234 00:17:09,900 --> 00:17:16,180 And I think, I think if, if I think back over the last year or so, there's, there's two case study videos. 235 00:17:16,180 --> 00:17:20,340 I mean, there's, there's a lot of them that are great, but two case study videos that I've actually watched several times. 236 00:17:20,340 --> 00:17:33,280 And, and one of them is, uh, I guess this was last fall when one of the people from Home Depot went over like their learnings and going cloud native and, uh, you know, and putting together a lot of the content and presentations and stuff that I do. 237 00:17:33,280 --> 00:17:35,080 That one's, that one's a gold mine. 238 00:17:35,080 --> 00:17:35,860 It's pretty good. 239 00:17:36,020 --> 00:17:37,980 And so I've ended up watching that a lot. 240 00:17:37,980 --> 00:17:41,460 And then there's another one that I'll have to put a link to both of these in the show notes. 241 00:17:41,460 --> 00:17:58,840 But, uh, one of the, the, the, the Pivotal office managers, uh, Lauren in DC, she did one with someone from the IRS going over how the IRS basically applied lean startup principles and, you know, the Pivotal way and all, all the hoopla we talk about to, uh, to do some IRS software. 242 00:17:59,040 --> 00:18:04,580 And those are two excellent, like, uh, case studies that I've watched many times to extract things from. 243 00:18:04,580 --> 00:18:16,520 Um, but yeah, any, any time like Home Depot comes and talks about something in a, uh, Cloud Foundry, uh, related world, it's, it's, it's rich in, in, uh, what people are actually doing case study itis, which is nice. 244 00:18:17,080 --> 00:18:17,480 Right. 245 00:18:17,580 --> 00:18:22,180 And from what I can tell, we're, we're not bringing on people who just tell Pivotal that we're awesome. 246 00:18:22,500 --> 00:18:25,080 Instead, it's some people are just talking about the tech. 247 00:18:25,180 --> 00:18:26,740 Some people aren't Pivotal customers. 248 00:18:26,740 --> 00:18:32,420 I mean, we've got other people just coming who want to talk about cloud native development or spring or microservices, DevOps, whatever. 249 00:18:33,300 --> 00:18:34,700 And so, again, I like that. 250 00:18:34,780 --> 00:18:34,920 Yes. 251 00:18:34,980 --> 00:18:36,460 Pivotal is a sponsor of the conference. 252 00:18:36,540 --> 00:18:39,460 You look at the sponsor list though, who else brings Google and Microsoft together? 253 00:18:39,660 --> 00:18:40,680 Come on, Pivotal can do it. 254 00:18:40,940 --> 00:18:44,640 So, you know, we all, uh, I think they see that value in that. 255 00:18:44,720 --> 00:18:46,460 So yeah, that was the first one that jumped out to me. 256 00:18:46,720 --> 00:19:02,060 The, uh, second one I flagged was architecting for cloud native data, data microservices done right using spring cloud by our own Fred, who I saw him deliver at the cloud native roadshow when it visited Seattle and their world tour. 257 00:19:02,060 --> 00:19:17,760 And he kind of blew my mind as he went through data microservices and spring cloud stream and spring cloud data flow and thinking about data pipelines as a series of microservices versus some sort of monolithic thing that you, you know, iterate on. 258 00:19:17,940 --> 00:19:29,560 And your traditional ETL tool or even your traditional enterprise service bus instead thinking about composing it into a set of steps using some sort of abstracted messaging backend, whether that's rapid or coffee or whatever. 259 00:19:29,920 --> 00:19:39,200 And so I know for a fact that he's working on a pretty face melting demo for SpringOne that covers a little bit more of this and in some interesting ways. 260 00:19:39,340 --> 00:19:43,500 So I'm really amped for that session because this is something I'm trying to get a little smarter on. 261 00:19:43,560 --> 00:19:46,740 And, and, and, and he's a fantastic demo or of these technologies. 262 00:19:46,920 --> 00:19:47,320 Yeah. 263 00:19:47,400 --> 00:19:53,520 I, I, I, I, uh, I, well, I was sitting in the room when he gave that talk at the cloud native thing in Austin. 264 00:19:53,520 --> 00:19:58,640 And, and as, as I do with so many times when I have a computer in front of me, I wasn't actually paying attention. 265 00:19:59,020 --> 00:20:06,600 So, so I'm, I'm looking forward to paying attention this time, but it did, it did seem like, like I, I, I wrote this one up on my, my list as well. 266 00:20:06,600 --> 00:20:15,940 Like it does seem like an interesting one because, uh, yeah, data is always a problem and we don't really, we as a, we as a community around all this stuff, don't really talk about it that much. 267 00:20:15,940 --> 00:20:21,320 And, uh, he, he went over some pretty practical nuts and bolts kind of stuff, which is fun. 268 00:20:22,020 --> 00:20:22,420 Yeah. 269 00:20:22,460 --> 00:20:25,480 I'm surprised there's a lot of good data sessions there. 270 00:20:25,560 --> 00:20:27,880 There's stuff on, you know, rest and data services. 271 00:20:27,880 --> 00:20:35,900 And there's going to be, it seems like, again, if you're thinking about, you know, how do I not get left behind if I'm a data geek in this new kind of microservices world? 272 00:20:36,040 --> 00:20:44,520 I think if anything, you know, those might be the people who are the most critical as you think about unlocking systems and treating data differently, processing streaming data. 273 00:20:44,520 --> 00:20:53,960 You know, nobody seems to be talking about Hadoop nearly as much anymore as the 47 different Apache streaming projects that are now available for doing data stream processing. 274 00:20:54,460 --> 00:20:55,980 And that is where all the attention is. 275 00:20:56,060 --> 00:21:03,700 And if you understand data and machine learning and these things, well, you are primed to add a ton of value to your company or probably your career even more so. 276 00:21:04,480 --> 00:21:04,920 All right. 277 00:21:04,960 --> 00:21:05,960 Well, so what's number three? 278 00:21:06,480 --> 00:21:14,360 Number three was, and I hit a couple of CI, CD things, but this was continuous delivery for microservice architecture with Concourse and Cloud Foundry. 279 00:21:14,580 --> 00:21:23,940 This was by Alex from Pivotal, who was going to do some demonstrations of continuous delivery pipelines using Spring Apps and Concourse and Spring Cloud. 280 00:21:23,940 --> 00:21:32,860 And again, for me, I'm just starting to really get that religion that that CI and CD are your gateway for redeveloping or redesigning how you deliver software. 281 00:21:33,000 --> 00:21:34,100 It's not containers. 282 00:21:34,400 --> 00:21:44,120 It's not even microservices or it's thinking about your whole pipeline and how do I get stuff into the hands of my end users, customers, internal audience, whatever, quickly. 283 00:21:44,500 --> 00:21:56,380 And I can do it where I can iterate quickly and I take people out of the equation so it doesn't get all clogged up right when I'm just about to go and it has to sit in queue for three days while someone walks through some manual checks. 284 00:21:56,560 --> 00:22:02,300 It's just that's what starts to transform how you deliver software is when you think about getting it out more quickly. 285 00:22:02,520 --> 00:22:05,140 And it's not just speed, it's getting it out more consistently. 286 00:22:05,760 --> 00:22:06,780 You know, anybody can be fast. 287 00:22:06,840 --> 00:22:08,000 I can be dumb and fast. 288 00:22:08,220 --> 00:22:13,260 I think the key is, am I doing this reliably, repeatably, consistently? 289 00:22:13,520 --> 00:22:17,020 And then things like DevOps and microservice, those things are going to form around that. 290 00:22:17,360 --> 00:22:19,960 So I'm really excited to learn more about Concourse. 291 00:22:20,060 --> 00:22:23,920 I've only played with it and I want to see people who actually know what they're doing demo that to me. 292 00:22:23,920 --> 00:22:33,040 Yeah, you know, to that point, there's actually a lot of talks that involve, if not Concourse on its own, just CI and CD. 293 00:22:33,440 --> 00:22:42,700 And there's, I don't know if this steals into your number four, number five, but there's a talk from Matt Curry and one of his coworkers at Allstate going over how they've used it. 294 00:22:42,740 --> 00:22:46,220 And I have a little Q&A that I did with them kind of previewing it. 295 00:22:46,620 --> 00:22:52,340 And then there's also one from Brian Gregory at Express Scripts kind of going over how they've been doing it. 296 00:22:52,340 --> 00:22:53,560 And there's several other ones. 297 00:22:53,560 --> 00:23:11,460 So it is, yeah, you know, I think what's interesting to think about over the next year or so is how, what you see from the Cloud Foundry and the cloud native ecosystem, and then even expanding out into the, I don't know, container orchestration world. 298 00:23:12,080 --> 00:23:17,380 Like how continuous integration and continuous delivery platforms get integrated or not into that. 299 00:23:17,460 --> 00:23:22,720 I think will be, it'll be interesting to see which one turns out to be valuable. 300 00:23:22,720 --> 00:23:33,100 Like if they're equally valuable or if one of them is the equivalent of the tires on the car or if they're both, if they're both the, the important thing, many it's tires on the car all the way down. 301 00:23:33,200 --> 00:23:35,240 It just depends which, which layer you're at. 302 00:23:35,880 --> 00:23:45,540 Yeah, again, for me, it's just, I think we can get distracted by other technologies that are almost upstream and things like CI, CD, think about the whole process. 303 00:23:45,760 --> 00:23:51,240 So to my fourth one, which you started to steal my thunder was the Express Scripts one, building out CI, CD pipeline. 304 00:23:51,360 --> 00:23:57,700 And I like that abstract because Brian was specifically talking about how it involves the whole company. 305 00:23:58,100 --> 00:24:08,020 And I think that, that sort of awareness is key that I can't introduce CI, maybe CI, but definitely not CD at a company when I haven't gotten everyone to buy off on that model. 306 00:24:08,020 --> 00:24:18,680 Like that is super disruptive to, you know, again, lines of business who that's, you know, their customer who's using that application or they themselves, you know, finance, project management. 307 00:24:18,840 --> 00:24:24,980 There's all sorts of groups that are impacted when you decide to say, I am going to fundamentally change how we deliver software. 308 00:24:24,980 --> 00:24:27,820 Like that is not something you can decide as a dev team. 309 00:24:28,240 --> 00:24:37,180 So maybe I'm reading into his abstract a bit, but I liked where he was talking about that alignment with IT and other parts of the business groups and infrastructure. 310 00:24:37,680 --> 00:24:42,680 And I want to hear those kind of case studies because it's really easy to say, oh, you know, just set up a CD pipeline. 311 00:24:43,040 --> 00:24:45,960 Okay, I can point and click my, you know, CI, CD process. 312 00:24:46,120 --> 00:24:52,940 That is different than implementing it for a major company that, you know, in this case, such as healthcare data, like that's not screwing around. 313 00:24:53,120 --> 00:25:02,860 Yeah, and as I'm fond in doing in my little cheesy talks, like there's two surveys about actual CI and CD usage out there. 314 00:25:02,940 --> 00:25:05,780 One of them is from a multi-year thing from D-Zone. 315 00:25:05,940 --> 00:25:09,280 I don't know, you're an InfoQ guy, so I'm sorry to raise up D-Zone. 316 00:25:09,400 --> 00:25:11,500 I don't know if that like makes smoke come out of your head. 317 00:25:11,900 --> 00:25:12,700 I read them too. 318 00:25:13,840 --> 00:25:15,660 They can be second to InfoQ. 319 00:25:16,280 --> 00:25:18,180 There's always got to be a number two, right? 320 00:25:18,320 --> 00:25:20,640 Otherwise, how can you define what number one is? 321 00:25:20,980 --> 00:25:28,040 Anyways, they have a good at least two-year study showing like people claiming to do CI and CD. 322 00:25:28,220 --> 00:25:32,800 And then if they take sort of like a orthodox approach to it, like many fewer people are. 323 00:25:32,880 --> 00:25:43,340 And there's the most recent Gartner like Agile thing shows there's a, I don't know, maybe surprising lack of actually doing continuous integration and delivery out there. 324 00:25:43,800 --> 00:25:48,800 Which is all not to say that like this is all a bunch of, as you said earlier, garbage. 325 00:25:49,460 --> 00:25:56,860 But there's a whole lot of room for improvement and therefore a lot of awesomeness in the future when it comes to putting these practices into place. 326 00:25:57,300 --> 00:26:02,360 We've got a lot of improvement on the table to suck up and start doing, which will be enjoyable. 327 00:26:03,040 --> 00:26:03,540 Yeah, exactly. 328 00:26:03,680 --> 00:26:04,880 I think that's what makes it exciting. 329 00:26:05,020 --> 00:26:11,500 If we had all hit kind of peak CI and CD and 90% of companies are doing it, man, what are we going to talk about? 330 00:26:11,900 --> 00:26:13,220 Like little tweaks around the edges? 331 00:26:13,560 --> 00:26:20,200 We're still in a space where we know we can fundamentally help 80-something percent of Fortune 500 companies who aren't doing it today. 332 00:26:20,320 --> 00:26:20,920 That's awesome. 333 00:26:21,040 --> 00:26:28,720 I think that's a great aspiration, not only for us as Pivotal, but more importantly for these companies to say, look, we're not way behind. 334 00:26:29,080 --> 00:26:30,580 Everybody's trying to figure this stuff out. 335 00:26:30,620 --> 00:26:36,360 Let's try to learn from people and then cater that to our own environment because there is not a single blueprint for this stuff. 336 00:26:36,460 --> 00:26:40,840 The best you can do is take some tips and then tailor that to whatever your setup is. 337 00:26:41,180 --> 00:26:41,260 Right. 338 00:26:41,520 --> 00:26:43,480 Well, what's left on the list? 339 00:26:43,820 --> 00:26:50,580 So the fifth one I listed out was, again, kind of a case study, and this touches on some things I think you've been talking about lately. 340 00:26:50,760 --> 00:26:56,680 But this one's modernizing the legacy, how DISH is adapting its SOA services for a cloud-first future. 341 00:26:56,900 --> 00:27:03,460 And it's looking at the challenges, difficulties, converting legacy services to a cloud-native one and what kind of things you have to think about. 342 00:27:03,520 --> 00:27:07,440 And again, that's going to be the dominant conversation. 343 00:27:07,440 --> 00:27:12,760 We talked about it with Kevin last week when we talked about 12-factor apps and microservices and converting. 344 00:27:13,460 --> 00:27:18,600 And, you know, very few companies are just starting every year going, all right, what hundred new apps are we going to build? 345 00:27:18,800 --> 00:27:20,940 Like, that is not typically reality. 346 00:27:21,140 --> 00:27:22,900 It's, all right, which ones do we have to update? 347 00:27:23,060 --> 00:27:23,960 Which ones are going to migrate? 348 00:27:24,180 --> 00:27:25,860 Maybe we'll do a handful of new things. 349 00:27:26,380 --> 00:27:35,260 So what does it mean to try to get some of these apps in a state where they can get a lot of benefit from a cloud-native platform? 350 00:27:35,260 --> 00:27:41,720 And it's not just lift and shift, it's sometimes thinking about how do I make some updates and make sure that this is going to be optimized there. 351 00:27:41,800 --> 00:27:58,880 So I love hearing those sort of case studies because that is, again, extremely real life for most companies who probably get frustrated hearing nothing but this constant drumbeat of all this cool, crazy new development that they feel they can't do because they're stuck with this portfolio of things that don't feel cloud-native. 352 00:27:59,020 --> 00:27:59,720 That's right. 353 00:27:59,980 --> 00:28:00,180 Yeah. 354 00:28:00,280 --> 00:28:11,200 As I often like to joke, it's not just the two circles turning into an owl, but it's more of a Bob Ross approach where you can actually see how it's done, which is fantastic. 355 00:28:11,300 --> 00:28:17,380 Well, that's a good list of sessions there with, as we talked about, a fair amount of crossover to one that I have. 356 00:28:17,480 --> 00:28:25,760 Now, I'm not going to go through, as is typical of me, concision is not a word I know how to spell or an act. 357 00:28:26,240 --> 00:28:28,740 So I forget how many I picked, but I picked a lot of them. 358 00:28:28,900 --> 00:28:36,480 And I think what I'll, I mean, I'll provide a link here to them, but I'll more like to be concise about it. 359 00:28:36,560 --> 00:28:42,720 Like it's, I think what's more interesting is like the way that I, as I was going over this this morning, I've bucketed things out, at least for me. 360 00:28:42,940 --> 00:28:50,100 And, and I think, I mean, you hit on each of these, but I think there's a good selection of them that are basically dealing with legacy, as I like to say. 361 00:28:50,100 --> 00:28:58,120 And, and, you know, I think that is one of the characteristics of, of definitely what Pivotal does in this space. 362 00:28:58,120 --> 00:29:15,820 And also in general, the cloud native thing is we're talking about not exclusively, but a lot of what we're trying to address is helping large organizations, whether they're for profit or not for profit, like, you know, government and other people figure out how to improve their custom written software. 363 00:29:15,820 --> 00:29:33,060 And, you know, I, I, I especially like that mission because if it has this sort of law of big numbers, which I think I'm misapplying, but like any, any small, even small incremental improve that improvement there, because these large organizations touch so much of our lives, like improves, has big improvements. 364 00:29:33,060 --> 00:29:33,460 Right. 365 00:29:33,780 --> 00:29:34,820 Which I think is fascinating. 366 00:29:34,840 --> 00:29:36,540 And also the problems they have are very wicked. 367 00:29:36,540 --> 00:29:45,740 So there's a good selection of sessions and we've highlighted them about how to upgrade your legacy, not only like software and hardware, but your meatware. 368 00:29:45,820 --> 00:29:46,420 As well, right. 369 00:29:46,420 --> 00:29:53,780 And there's, there's one session from one of the, the Pivotal people, which is not really dealing with legacy so much, but I think it would be interesting for this case. 370 00:29:53,780 --> 00:29:57,680 And it's, it's basically like how to win people over to doing a new thing. 371 00:29:57,820 --> 00:30:03,760 And I think, I think, I think that one will be interesting because that's a lot of what the tactics are is just getting people to do stuff in the new way. 372 00:30:03,960 --> 00:30:08,800 So then the other bucket that I have is like, for lack of a better phrase, cloud native coding. 373 00:30:09,000 --> 00:30:14,680 And it's, and it's the more technical things of, and I'll highlight like one, one, two things there that I think are interesting. 374 00:30:14,920 --> 00:30:18,440 It's sort of like, here's the actual technical angles of doing stuff. 375 00:30:18,680 --> 00:30:20,620 Ironically, I'll touch on the technical talks. 376 00:30:20,740 --> 00:30:29,120 I'm like the least technical person around here, but there's, I talked with this guy, Marcin, a while when I was in Poland, and he's involved in two sessions. 377 00:30:29,120 --> 00:30:39,920 One of them going over along, along with another presenter, like how, how this, this tracing software Zipkin is woven into spring cloud and platform and stuff. 378 00:30:39,980 --> 00:30:44,160 And he gave me some excellent demos on the, a train between Warsaw and Krakow. 379 00:30:44,340 --> 00:30:51,340 And with my systems management background, it is actually really fascinating to see how people are solving for monitoring and how that's working out there. 380 00:30:51,340 --> 00:30:59,740 Like doing distributed tracing back when I programmed was extremely difficult and also very, extremely expensive to buy. 381 00:31:00,540 --> 00:31:06,920 But the, you know, the, the, the methodology behind Zipkin and the benefit you get from using a cloud platform was fascinating. 382 00:31:07,020 --> 00:31:08,480 And so it'll be interesting to see him do that. 383 00:31:08,500 --> 00:31:10,400 And then he has another session in this bucket. 384 00:31:10,880 --> 00:31:15,900 That's, that's about how to, uh, I would call it like API and microservices design. 385 00:31:15,900 --> 00:31:18,720 And then a component of that is testing and verification. 386 00:31:19,300 --> 00:31:28,940 And there's this idea of having basically, uh, I don't know, contracts that you express and programatize a little bit to make sure that your APIs don't change around. 387 00:31:28,940 --> 00:31:38,060 And to add, as I kind of was talking back to him, we were discussing it at a little bit of like static typing into a very unstatically typed world of APIs. 388 00:31:38,420 --> 00:31:47,440 And that'll, that would be an interesting session to go to because again, like when you're a large organization, if you're kind of like small, it's one thing to be like, I don't know, JSON's pretty simple. 389 00:31:47,440 --> 00:31:50,200 And the developers will just curl their way into success. 390 00:31:50,520 --> 00:31:55,140 But in a large organization, you need some automation around making sure things don't blow up. 391 00:31:55,240 --> 00:31:59,260 But, you know, I, I listed some other ones in there and there's, there's plenty of good sessions. 392 00:31:59,260 --> 00:32:07,160 And, you know, I think you hit on all the, uh, the case studies, or at least we mentioned them there, but I think, I think there's, uh, there's some good ones. 393 00:32:07,160 --> 00:32:15,660 That interestingly, a lot of them deal with, uh, uh, CI and CD, but there is, there is that Home Depot one, which is, looks like it's a bit more meatware focused. 394 00:32:16,160 --> 00:32:22,460 And then finally, uh, before we wrap up, you know, because I knew my teammates would just be upset with me. 395 00:32:22,460 --> 00:32:27,060 I listed all the ones that on my team, the, uh, the advocate team, the ones that we're doing. 396 00:32:27,060 --> 00:32:28,720 And there's a lot on there. 397 00:32:28,820 --> 00:32:35,360 There's a fair amount on there that are sort of like, uh, I would call them our stump, stump speeches, including our own. 398 00:32:35,360 --> 00:32:43,000 And, you know, when you, when you go out and talk to conferences a lot, you basically have like, let's say one to three, uh, presentations that you give every time. 399 00:32:43,000 --> 00:32:44,960 Cause you don't really have time to put ones together. 400 00:32:44,960 --> 00:32:56,320 And so like, you know, myself and Bridget and Josh long, they have, uh, and I think to some extent, one of the ones Casey has given there's sort of variance on their stump speeches, which, which are excellent to go check out. 401 00:32:56,360 --> 00:33:00,120 That means they're really well practiced and they know them backwards and forwards. 402 00:33:00,360 --> 00:33:01,840 So, uh, things will work out. 403 00:33:01,880 --> 00:33:05,100 And then, and then there's also some on IOT and machine learning. 404 00:33:05,300 --> 00:33:14,440 And, uh, and also one of the points that I think comes up and let's say the intermediate stages of using Pivotal Cloud Foundry is you start extending the platform. 405 00:33:14,440 --> 00:33:15,980 And so Kenny is going to be talking to that. 406 00:33:16,060 --> 00:33:21,620 And what I mean by that is you have your own custom services or middleware or things like that, that you want to add in. 407 00:33:21,720 --> 00:33:32,200 I mean, I've probably even mentioned on this podcast, I always think as an example, uh, if you're in the travel and hospitality system, you probably have some reservation booking service. 408 00:33:32,580 --> 00:33:35,880 And, you know, unfortunately we can't ship that for you. 409 00:33:36,260 --> 00:33:39,880 So you have to add those services on your own to the platform. 410 00:33:39,980 --> 00:33:42,480 So your developers can start using it and iterating over it. 411 00:33:42,480 --> 00:33:48,320 And there's a, that there'll be an interesting session to see kind of an overview of how to start adding your customized services. 412 00:33:48,820 --> 00:33:51,140 But, uh, so that, that's my quick list of buckets. 413 00:33:51,140 --> 00:33:55,420 We'll put a link in so that you can, you can see the, you, the listener can see the whole list of them. 414 00:33:55,540 --> 00:34:04,040 But like, like you were saying at the beginning, like there's, there's a, it's a, a good mix of technical and process and non-technical sessions. 415 00:34:04,040 --> 00:34:12,520 I think, I think there's even a few like little jokey, like cultural things on there here and there to, uh, you know, to relax your brain from computers too much. 416 00:34:13,060 --> 00:34:13,420 Yeah. 417 00:34:13,420 --> 00:34:13,460 Yeah. 418 00:34:13,460 --> 00:34:22,360 And I, what's nice if you go to, I don't know if we'll link to the presenters page in the show notes as well, but, you know, there's also something about just hearing some of the people who are the best in their craft. 419 00:34:22,360 --> 00:34:25,560 And I'm going as an attendee, I'm not speaking at that this year. 420 00:34:25,700 --> 00:34:36,880 So I'm just excited to attend some of these and having sure the headliners like, you know, Adrian Cockroft and others coming to speak and Josh, you know, and all these people who are really well known in, in the industry. 421 00:34:36,880 --> 00:34:41,600 But, you know, a lot of other people who I know are great speakers, I'm just really interested in hearing from. 422 00:34:41,840 --> 00:34:47,600 And again, that's a fun part of conferences is to hear people who are great presenters because it makes you better in itself. 423 00:34:47,800 --> 00:34:49,700 So again, look at the presenter list. 424 00:34:49,780 --> 00:34:51,040 I think that's really exciting stuff. 425 00:34:51,120 --> 00:34:52,540 If you use PCF, great. 426 00:34:52,840 --> 00:34:55,200 It's a good, it's an obviously great conference to go to. 427 00:34:55,340 --> 00:34:59,900 If you're a developer at all in any area, this should be pretty awesome. 428 00:35:00,020 --> 00:35:05,360 And in, you know, let's not leave behind our ops friends, tons of great operational stuff that we'll be talking about. 429 00:35:05,360 --> 00:35:09,300 So, yeah, just a great, great excuse to get smarter on tech. 430 00:35:09,680 --> 00:35:18,260 And to that point, I mean, the reason it has a slightly goofy title is that it is the Spring framework. 431 00:35:18,500 --> 00:35:23,900 I don't know if they still call it that, but the Spring community coming together with a Pivotal Cloud Foundry community. 432 00:35:24,100 --> 00:35:25,980 So it's not all just Pivotal stuff. 433 00:35:26,060 --> 00:35:27,020 There's a tremendous amount. 434 00:35:27,120 --> 00:35:31,480 In fact, there probably is more Spring, just open source Spring stuff in there than anything else. 435 00:35:31,480 --> 00:35:35,380 So it's intended for developers and all sorts of stuff like that. 436 00:35:35,440 --> 00:35:38,640 And there's also, you know, we've also got some Ignite talks, which will be fun. 437 00:35:38,700 --> 00:35:39,900 I haven't actually checked those out. 438 00:35:40,000 --> 00:35:40,880 I need to go look at those. 439 00:35:41,000 --> 00:35:43,720 And there'll be plenty of hallway con opportunity. 440 00:35:44,120 --> 00:35:48,600 And I think there's even some sort of like pseudo unconference-y stuff going on. 441 00:35:49,160 --> 00:35:53,860 Yeah, I think there's some training as well that's already sold out on a couple of the things in the day or so before. 442 00:35:54,120 --> 00:36:01,420 And, you know, I believe we've got some deals with various companies that are going to host the videos after this is all done. 443 00:36:01,420 --> 00:36:10,600 But I think especially as you mentioned earlier on, you know, when I'm watching a conference presentation on my computer, I am 46% engaged, right? 444 00:36:10,660 --> 00:36:12,580 The rest of it is doing everything else. 445 00:36:12,620 --> 00:36:21,600 So there's still nothing that beats going to the conference for those hallway conversations to have single focus on a topic to just kind of ferment the wrong word. 446 00:36:21,600 --> 00:36:30,820 But I just want to absorb everything in that sort of setting without a lot of distraction, which you're not going to get if you try to watch the whole conference three months later from the comfort of your laptop. 447 00:36:31,200 --> 00:36:31,560 Yeah, yeah. 448 00:36:31,620 --> 00:36:37,500 I think the videos are good, as I was describing earlier, when you're trying to extract all the value out of stuff. 449 00:36:37,640 --> 00:36:41,920 Like it's actually nice to be able to rewind and all sorts of stuff like that. 450 00:36:41,940 --> 00:36:43,400 But being in person is vital. 451 00:36:43,400 --> 00:36:44,920 And I think one last thing. 452 00:36:45,160 --> 00:36:50,040 I don't know if all the details have been sorted out, but I'm going to be somehow involved in doing a bunch of videos. 453 00:36:50,600 --> 00:37:00,420 Yeah, I forget if I'm like the interviewer or I'm doing everything or whatever, but it'll be like the old Red Monk Glory days where I would just like stare at people and ask them to talk. 454 00:37:00,780 --> 00:37:02,120 Two little talking head stuff. 455 00:37:02,320 --> 00:37:03,100 That was always fun. 456 00:37:03,340 --> 00:37:08,440 This time, I'll not be wearing like a sports jacket because I don't have to pretend to be all fancy. 457 00:37:08,780 --> 00:37:10,420 I'll just be my natural self. 458 00:37:10,780 --> 00:37:15,080 Yeah, so we'll figure out if we're podcasting live on Monday or how risky we feel like being. 459 00:37:15,600 --> 00:37:27,800 Well, so if you're interested in all of that, the URL to go to is spring1platform.io, where you can input and output yourself or whatever the IO means as much as possible. 460 00:37:28,340 --> 00:37:30,320 And I have a discount code you can use. 461 00:37:30,380 --> 00:37:33,500 I think you have one too, so you can vote for who you like more. 462 00:37:33,900 --> 00:37:40,940 If you use the discount code Pivotal-Coté-300, you get $300 off registration. 463 00:37:41,160 --> 00:37:42,700 And what, do you have a code yourself? 464 00:37:43,340 --> 00:37:46,520 Yeah, you get the same one mixing in seroter in there. 465 00:37:46,960 --> 00:37:52,580 And if you do, you know, I think that that really signifies even a closer relationship of things you care about. 466 00:37:52,640 --> 00:37:56,220 Not just a Coté, but, you know, you go seroter, that means you're really into this. 467 00:37:56,720 --> 00:37:57,060 That's right. 468 00:37:57,300 --> 00:38:02,120 It means you enjoy like being more tidy, more professional. 469 00:38:02,820 --> 00:38:08,120 You're sort of like not just goofing around as you stumble through life like some art from cartoon. 470 00:38:08,120 --> 00:38:08,600 Serious about change. 471 00:38:09,020 --> 00:38:09,300 That's right. 472 00:38:09,300 --> 00:38:10,100 Serious about change. 473 00:38:10,320 --> 00:38:10,720 That's right. 474 00:38:10,780 --> 00:38:12,020 Instead of just an interloper. 475 00:38:13,660 --> 00:38:14,280 That's right. 476 00:38:14,280 --> 00:38:17,240 But as always, thanks for listening to Pivotal Conversations. 477 00:38:17,380 --> 00:38:21,880 And you can find us in SoundCloud at soundcloud.com slash pivotalconversations. 478 00:38:22,060 --> 00:38:26,080 Or you can find us on the Pivotal blog at pivotal.io slash podcast. 479 00:38:27,300 --> 00:38:35,320 And, you know, if you deign to go into iTunes and leave us a rating or a review, that'll make us happy and just really like make our day. 480 00:38:35,760 --> 00:38:38,420 And also, you can reach out to us in Twitter. 481 00:38:38,880 --> 00:38:39,620 I'm Coté. 482 00:38:40,020 --> 00:38:40,960 And what are you, Richard? 483 00:38:41,300 --> 00:38:41,520 Yep. 484 00:38:41,520 --> 00:38:46,120 I'm at rseroder and, as always, love the chatter, the feedback if you enjoyed the session. 485 00:38:46,560 --> 00:38:46,920 Absolutely. 486 00:38:47,260 --> 00:38:51,840 And you can, if you prefer email, we're also podcast at pivotal.io. 487 00:38:52,140 --> 00:38:55,660 And hopefully, we'll see most of you at SpringOne Platform. 488 00:38:55,980 --> 00:38:58,700 It would be great to hear from you if you show up there. 489 00:38:58,880 --> 00:39:00,060 And we'll see everyone next time.