Podcasts about gcp

Realities Remixed, formerly know as Cloud Realities, launches a new season exploring the intersection of people, culture, industry and tech.Business messaging is transforming customer engagement by enabling brands to move conversations into familiar, always‑on messaging platforms. The result for customers is greater convenience, quicker resolutions, and more meaningful, personalized interactions. This week, Dave, Esmee, and Rob are joined by Kathleen Tandy, Global Director and Head of Business Messaging Marketing and WhatsApp for Business at Meta , to explore how companies are using messaging platforms to engage customers, what customers expect from these experiences, and the challenges of scaling messaging in tech.TLDR00:35 – Introduction01:00 –  Hang out: The new Remarkable05:25 – Dig in: Using messaging to enhance customer experiences20:49 – Conversation with Kathleen Tandy55:26 – The passion for college football and championship weekend!GuestKathleen Tandy: https://www.linkedin.com/in/kptandy/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

Bryan Cantrill is the co-founder and CTO of Oxide Computer Company. We discuss why the biggest cloud providers don't use off the shelf hardware, how scaling data centers at samsung's scale exposed problems with hard drive firmware, how the values of NodeJS are in conflict with robust systems, choosing Rust, and the benefits of Oxide Computer's rack scale approach. This is an extended version of an interview posted on Software Engineering Radio. Related links Oxide Computer Oxide and Friends Illumos Platform as a Reflection of Values RFD 26 bhyve CockroachDB Heterogeneous Computing with Raja Koduri Transcript You can help correct transcripts on GitHub. Intro [00:00:00] Jeremy: Today I am talking to Bryan Cantrill. He's the co-founder and CTO of Oxide computer company, and he was previously the CTO of Joyent and he also co-authored the DTrace Tracing framework while he was at Sun Microsystems. [00:00:14] Jeremy: Bryan, welcome to Software Engineering radio. [00:00:17] Bryan: Uh, awesome. Thanks for having me. It's great to be here. [00:00:20] Jeremy: You're the CTO of a company that makes computers. But I think before we get into that, a lot of people who built software, now that the actual computer is abstracted away, they're using AWS or they're using some kind of cloud service. So I thought we could start by talking about, data centers. [00:00:41] Jeremy: 'cause you were. Previously working at Joyent, and I believe you got bought by Samsung and you've previously talked about how you had to figure out, how do I run things at Samsung's scale. So how, how, how was your experience with that? What, what were the challenges there? Samsung scale and migrating off the cloud [00:01:01] Bryan: Yeah, I mean, so at Joyent, and so Joyent was a cloud computing pioneer. Uh, we competed with the likes of AWS and then later GCP and Azure. Uh, and we, I mean, we were operating at a scale, right? We had a bunch of machines, a bunch of dcs, but ultimately we know we were a VC backed company and, you know, a small company by the standards of, certainly by Samsung standards. [00:01:25] Bryan: And so when, when Samsung bought the company, I mean, the reason by the way that Samsung bought Joyent is Samsung's. Cloud Bill was, uh, let's just say it was extremely large. They were spending an enormous amount of money every year on, on the public cloud. And they realized that in order to secure their fate economically, they had to be running on their own infrastructure. [00:01:51] Bryan: It did not make sense. And there's not, was not really a product that Samsung could go buy that would give them that on-prem cloud. Uh, I mean in that, in that regard, like the state of the market was really no different. And so they went looking for a company, uh, and bought, bought Joyent. And when we were on the inside of Samsung. [00:02:11] Bryan: That we learned about Samsung scale. And Samsung loves to talk about Samsung scale. And I gotta tell you, it is more than just chest thumping. Like Samsung Scale really is, I mean, just the, the sheer, the number of devices, the number of customers, just this absolute size. they really wanted to take us out to, to levels of scale, certainly that we had not seen. [00:02:31] Bryan: The reason for buying Joyent was to be able to stand up on their own infrastructure so that we were gonna go buy, we did go buy a bunch of hardware. Problems with server hardware at scale [00:02:40] Bryan: And I remember just thinking, God, I hope Dell is somehow magically better. I hope the problems that we have seen in the small, we just. You know, I just remember hoping and hope is hope. It was of course, a terrible strategy and it was a terrible strategy here too. Uh, and the we that the problems that we saw at the large were, and when you scale out the problems that you see kind of once or twice, you now see all the time and they become absolutely debilitating. [00:03:12] Bryan: And we saw a whole series of really debilitating problems. I mean, many ways, like comically debilitating, uh, in terms of, of showing just how bad the state-of-the-art. Yes. And we had, I mean, it should be said, we had great software and great software expertise, um, and we were controlling our own system software. [00:03:35] Bryan: But even controlling your own system software, your own host OS, your own control plane, which is what we had at Joyent, ultimately, you're pretty limited. You go, I mean, you got the problems that you can obviously solve, the ones that are in your own software, but the problems that are beneath you, the, the problems that are in the hardware platform, the problems that are in the componentry beneath you become the problems that are in the firmware. IO latency due to hard drive firmware [00:04:00] Bryan: Those problems become unresolvable and they are deeply, deeply frustrating. Um, and we just saw a bunch of 'em again, they were. Comical in retrospect, and I'll give you like a, a couple of concrete examples just to give, give you an idea of what kinda what you're looking at. one of the, our data centers had really pathological IO latency. [00:04:23] Bryan: we had a very, uh, database heavy workload. And this was kind of right at the period where you were still deploying on rotating media on hard drives. So this is like, so. An all flash buy did not make economic sense when we did this in, in 2016. This probably, it'd be interesting to know like when was the, the kind of the last time that that actual hard drives made sense? [00:04:50] Bryan: 'cause I feel this was close to it. So we had a, a bunch of, of a pathological IO problems, but we had one data center in which the outliers were actually quite a bit worse and there was so much going on in that system. It took us a long time to figure out like why. And because when, when you, when you're io when you're seeing worse io I mean you're naturally, you wanna understand like what's the workload doing? [00:05:14] Bryan: You're trying to take a first principles approach. What's the workload doing? So this is a very intensive database workload to support the, the object storage system that we had built called Manta. And that the, the metadata tier was stored and uh, was we were using Postgres for that. And that was just getting absolutely slaughtered. [00:05:34] Bryan: Um, and ultimately very IO bound with these kind of pathological IO latencies. Uh, and as we, you know, trying to like peel away the layers to figure out what was going on. And I finally had this thing. So it's like, okay, we are seeing at the, at the device layer, at the at, at the disc layer, we are seeing pathological outliers in this data center that we're not seeing anywhere else. [00:06:00] Bryan: And that does not make any sense. And the thought occurred to me. I'm like, well, maybe we are. Do we have like different. Different rev of firmware on our HGST drives, HGST. Now part of WD Western Digital were the drives that we had everywhere. And, um, so maybe we had a different, maybe I had a firmware bug. [00:06:20] Bryan: I, this would not be the first time in my life at all that I would have a drive firmware issue. Uh, and I went to go pull the firmware, rev, and I'm like, Toshiba makes hard drives? So we had, I mean. I had no idea that Toshiba even made hard drives, let alone that they were our, they were in our data center. [00:06:38] Bryan: I'm like, what is this? And as it turns out, and this is, you know, part of the, the challenge when you don't have an integrated system, which not to pick on them, but Dell doesn't, and what Dell would routinely put just sub make substitutes, and they make substitutes that they, you know, it's kind of like you're going to like, I don't know, Instacart or whatever, and they're out of the thing that you want. [00:07:03] Bryan: So, you know, you're, someone makes a substitute and like sometimes that's okay, but it's really not okay in a data center. And you really want to develop and validate a, an end-to-end integrated system. And in this case, like Toshiba doesn't, I mean, Toshiba does make hard drives, but they are a, or the data they did, uh, they basically were, uh, not competitive and they were not competitive in part for the reasons that we were discovering. [00:07:29] Bryan: They had really serious firmware issues. So the, these were drives that would just simply stop a, a stop acknowledging any reads from the order of 2,700 milliseconds. Long time, 2.7 seconds. Um. And that was a, it was a drive firmware issue, but it was highlighted like a much deeper issue, which was the simple lack of control that we had over our own destiny. [00:07:53] Bryan: Um, and it's an, it's, it's an example among many where Dell is making a decision. That lowers the cost of what they are providing you marginally, but it is then giving you a system that they shouldn't have any confidence in because it's not one that they've actually designed and they leave it to the customer, the end user, to make these discoveries. [00:08:18] Bryan: And these things happen up and down the stack. And for every, for whether it's, and, and not just to pick on Dell because it's, it's true for HPE, it's true for super micro, uh, it's true for your switch vendors. It's, it's true for storage vendors where the, the, the, the one that is left actually integrating these things and trying to make the the whole thing work is the end user sitting in their data center. AWS / Google are not buying off the shelf hardware but you can't use it [00:08:42] Bryan: There's not a product that they can buy that gives them elastic infrastructure, a cloud in their own DC The, the product that you buy is the public cloud. Like when you go in the public cloud, you don't worry about the stuff because that it's, it's AWS's issue or it's GCP's issue. And they are the ones that get this to ground. [00:09:02] Bryan: And they, and this was kind of, you know, the eye-opening moment. Not a surprise. Uh, they are not Dell customers. They're not HPE customers. They're not super micro customers. They have designed their own machines. And to varying degrees, depending on which one you're looking at. But they've taken the clean sheet of paper and the frustration that we had kind of at Joyent and beginning to wonder and then Samsung and kind of wondering what was next, uh, is that, that what they built was not available for purchase in the data center. [00:09:35] Bryan: You could only rent it in the public cloud. And our big belief is that public cloud computing is a really important revolution in infrastructure. Doesn't feel like a different, a deep thought, but cloud computing is a really important revolution. It shouldn't only be available to rent. You should be able to actually buy it. [00:09:53] Bryan: And there are a bunch of reasons for doing that. Uh, one in the one we we saw at Samsung is economics, which I think is still the dominant reason where it just does not make sense to rent all of your compute in perpetuity. But there are other reasons too. There's security, there's risk management, there's latency. [00:10:07] Bryan: There are a bunch of reasons why one might wanna to own one's own infrastructure. But, uh, that was very much the, the, so the, the genesis for oxide was coming out of this very painful experience and a painful experience that, because, I mean, a long answer to your question about like what was it like to be at Samsung scale? [00:10:27] Bryan: Those are the kinds of things that we, I mean, in our other data centers, we didn't have Toshiba drives. We only had the HDSC drives, but it's only when you get to this larger scale that you begin to see some of these pathologies. But these pathologies then are really debilitating in terms of those who are trying to develop a service on top of them. [00:10:45] Bryan: So it was, it was very educational in, in that regard. And you're very grateful for the experience at Samsung in terms of opening our eyes to the challenge of running at that kind of scale. [00:10:57] Jeremy: Yeah, because I, I think as software engineers, a lot of times we, we treat the hardware as a, as a given where, [00:11:08] Bryan: Yeah. [00:11:08] Bryan: Yeah. There's software in chard drives [00:11:09] Jeremy: It sounds like in, in this case, I mean, maybe the issue is not so much that. Dell or HP as a company doesn't own every single piece that they're providing you, but rather the fact that they're swapping pieces in and out without advertising them, and then when it becomes a problem, they're not necessarily willing to, to deal with the, the consequences of that. [00:11:34] Bryan: They just don't know. I mean, I think they just genuinely don't know. I mean, I think that they, it's not like they're making a deliberate decision to kind of ship garbage. It's just that they are making, I mean, I think it's exactly what you said about like, not thinking about the hardware. It's like, what's a hard drive? [00:11:47] Bryan: Like what's it, I mean, it's a hard drive. It's got the same specs as this other hard drive and Intel. You know, it's a little bit cheaper, so why not? It's like, well, like there's some reasons why not, and one of the reasons why not is like, uh, even a hard drive, whether it's rotating media or, or flash, like that's not just hardware. [00:12:05] Bryan: There's software in there. And that the software's like not the same. I mean, there are components where it's like, there's actually, whether, you know, if, if you're looking at like a resistor or a capacitor or something like this Yeah. If you've got two, two parts that are within the same tolerance. Yeah. [00:12:19] Bryan: Like sure. Maybe, although even the EEs I think would be, would be, uh, objecting that a little bit. But the, the, the more complicated you get, and certainly once you get to the, the, the, the kind of the hardware that we think of like a, a, a microprocessor, a a network interface card, a a, a hard driver, an NVME drive. [00:12:38] Bryan: Those things are super complicated and there's a whole bunch of software inside of those things, the firmware, and that's the stuff that, that you can't, I mean, you say that software engineers don't think about that. It's like you, no one can really think about that because it's proprietary that's kinda welded shut and you've got this abstraction into it. [00:12:55] Bryan: But the, the way that thing operates is very core to how the thing in aggregate will behave. And I think that you, the, the kind of, the, the fundamental difference between Oxide's approach and the approach that you get at a Dell HP Supermicro, wherever, is really thinking holistically in terms of hardware and software together in a system that, that ultimately delivers cloud computing to a user. [00:13:22] Bryan: And there's a lot of software at many, many, many, many different layers. And it's very important to think about, about that software and that hardware holistically as a single system. [00:13:34] Jeremy: And during that time at Joyent, when you experienced some of these issues, was it more of a case of you didn't have enough servers experiencing this? So if it would happen, you might say like, well, this one's not working, so maybe we'll just replace the hardware. What, what was the thought process when you were working at that smaller scale and, and how did these issues affect you? UEFI / Baseboard Management Controller [00:13:58] Bryan: Yeah, at the smaller scale, you, uh, you see fewer of them, right? You just see it's like, okay, we, you know, what you might see is like, that's weird. We kinda saw this in one machine versus seeing it in a hundred or a thousand or 10,000. Um, so you just, you just see them, uh, less frequently as a result, they are less debilitating. [00:14:16] Bryan: Um, I, I think that it's, when you go to that larger scale, those things that become, that were unusual now become routine and they become debilitating. Um, so it, it really is in many regards a function of scale. Uh, and then I think it was also, you know, it was a little bit dispiriting that kind of the substrate we were building on really had not improved. [00:14:39] Bryan: Um, and if you look at, you know, the, if you buy a computer server, buy an x86 server. There is a very low layer of firmware, the BIOS, the basic input output system, the UEFI BIOS, and this is like an abstraction layer that has, has existed since the eighties and hasn't really meaningfully improved. Um, the, the kind of the transition to UEFI happened with, I mean, I, I ironically with Itanium, um, you know, two decades ago. [00:15:08] Bryan: but beyond that, like this low layer, this lowest layer of platform enablement software is really only impeding the operability of the system. Um, you look at the baseboard management controller, which is the kind of the computer within the computer, there is a, uh, there is an element in the machine that needs to handle environmentals, that needs to handle, uh, operate the fans and so on. [00:15:31] Bryan: Uh, and that traditionally has this, the space board management controller, and that architecturally just hasn't improved in the last two decades. And, you know, that's, it's a proprietary piece of silicon. Generally from a company that no one's ever heard of called a Speed, uh, which has to be, is written all on caps, so I guess it needs to be screamed. [00:15:50] Bryan: Um, a speed has a proprietary part that has a, there is a root password infamously there, is there, the root password is encoded effectively in silicon. So, uh, which is just, and for, um, anyone who kind of goes deep into these things, like, oh my God, are you kidding me? Um, when we first started oxide, the wifi password was a fraction of the a speed root password for the bmc. [00:16:16] Bryan: It's kinda like a little, little BMC humor. Um, but those things, it was just dispiriting that, that the, the state-of-the-art was still basically personal computers running in the data center. Um, and that's part of what, what was the motivation for doing something new? [00:16:32] Jeremy: And for the people using these systems, whether it's the baseboard management controller or it's the The BIOS or UF UEFI component, what are the actual problems that people are seeing seen? Security vulnerabilities and poor practices in the BMC [00:16:51] Bryan: Oh man, I, the, you are going to have like some fraction of your listeners, maybe a big fraction where like, yeah, like what are the problems? That's a good question. And then you're gonna have the people that actually deal with these things who are, did like their heads already hit the desk being like, what are the problems? [00:17:06] Bryan: Like what are the non problems? Like what, what works? Actually, that's like a shorter answer. Um, I mean, there are so many problems and a lot of it is just like, I mean, there are problems just architecturally these things are just so, I mean, and you could, they're the problems spread to the horizon, so you can kind of start wherever you want. [00:17:24] Bryan: But I mean, as like, as a really concrete example. Okay, so the, the BMCs that, that the computer within the computer that needs to be on its own network. So you now have like not one network, you got two networks that, and that network, by the way, it, that's the network that you're gonna log into to like reset the machine when it's otherwise unresponsive. [00:17:44] Bryan: So that going into the BMC, you can are, you're able to control the entire machine. Well it's like, alright, so now I've got a second net network that I need to manage. What is running on the BMC? Well, it's running some. Ancient, ancient version of Linux it that you got. It's like, well how do I, how do I patch that? [00:18:02] Bryan: How do I like manage the vulnerabilities with that? Because if someone is able to root your BMC, they control the system. So it's like, this is not you've, and now you've gotta go deal with all of the operational hair around that. How do you upgrade that system updating the BMC? I mean, it's like you've got this like second shadow bad infrastructure that you have to go manage. [00:18:23] Bryan: Generally not open source. There's something called open BMC, um, which, um, you people use to varying degrees, but you're generally stuck with the proprietary BMC, so you're generally stuck with, with iLO from HPE or iDRAC from Dell or, or, uh, the, uh, su super micros, BMC, that H-P-B-M-C, and you are, uh, it is just excruciating pain. [00:18:49] Bryan: Um, and that this is assuming that by the way, that everything is behaving correctly. The, the problem is that these things often don't behave correctly, and then the consequence of them not behaving correctly. It's really dire because it's at that lowest layer of the system. So, I mean, I'll give you a concrete example. [00:19:07] Bryan: a customer of theirs reported to me, so I won't disclose the vendor, but let's just say that a well-known vendor had an issue with their, their temperature sensors were broken. Um, and the thing would always read basically the wrong value. So it was the BMC that had to like, invent its own ki a different kind of thermal control loop. [00:19:28] Bryan: And it would index on the, on the, the, the, the actual inrush current. It would, they would look at that at the current that's going into the CPU to adjust the fan speed. That's a great example of something like that's a, that's an interesting idea. That doesn't work. 'cause that's actually not the temperature. [00:19:45] Bryan: So like that software would crank the fans whenever you had an inrush of current and this customer had a workload that would spike the current and by it, when it would spike the current, the, the, the fans would kick up and then they would slowly degrade over time. Well, this workload was spiking the current faster than the fans would degrade, but not fast enough to actually heat up the part. [00:20:08] Bryan: And ultimately over a very long time, in a very painful investigation, it's customer determined that like my fans are cranked in my data center for no reason. We're blowing cold air. And it's like that, this is on the order of like a hundred watts, a server of, of energy that you shouldn't be spending and like that ultimately what that go comes down to this kind of broken software hardware interface at the lowest layer that has real meaningful consequence, uh, in terms of hundreds of kilowatts, um, across a data center. So this stuff has, has very, very, very real consequence and it's such a shadowy world. Part of the reason that, that your listeners that have dealt with this, that our heads will hit the desk is because it is really aggravating to deal with problems with this layer. [00:21:01] Bryan: You, you feel powerless. You don't control or really see the software that's on them. It's generally proprietary. You are relying on your vendor. Your vendor is telling you that like, boy, I don't know. You're the only customer seeing this. I mean, the number of times I have heard that for, and I, I have pledged that we're, we're not gonna say that at oxide because it's such an unaskable thing to say like, you're the only customer saying this. [00:21:25] Bryan: It's like, it feels like, are you blaming me for my problem? Feels like you're blaming me for my problem? Um, and what you begin to realize is that to a degree, these folks are speaking their own truth because the, the folks that are running at real scale at Hyperscale, those folks aren't Dell, HP super micro customers. [00:21:46] Bryan: They're actually, they've done their own thing. So it's like, yeah, Dell's not seeing that problem, um, because they're not running at the same scale. Um, but when you do run, you only have to run at modest scale before these things just become. Overwhelming in terms of the, the headwind that they present to people that wanna deploy infrastructure. The problem is felt with just a few racks [00:22:05] Jeremy: Yeah, so maybe to help people get some perspective at, at what point do you think that people start noticing or start feeling these problems? Because I imagine that if you're just have a few racks or [00:22:22] Bryan: do you have a couple racks or the, or do you wonder or just wondering because No, no, no. I would think, I think anyone who deploys any number of servers, especially now, especially if your experience is only in the cloud, you're gonna be like, what the hell is this? I mean, just again, just to get this thing working at all. [00:22:39] Bryan: It is so it, it's so hairy and so congealed, right? It's not designed. Um, and it, it, it, it's accreted it and it's so obviously accreted that you are, I mean, nobody who is setting up a rack of servers is gonna think to themselves like, yes, this is the right way to go do it. This all makes sense because it's, it's just not, it, I, it feels like the kit, I mean, kit car's almost too generous because it implies that there's like a set of plans to work to in the end. [00:23:08] Bryan: Uh, I mean, it, it, it's a bag of bolts. It's a bunch of parts that you're putting together. And so even at the smallest scales, that stuff is painful. Just architecturally, it's painful at the small scale then, but at least you can get it working. I think the stuff that then becomes debilitating at larger scale are the things that are, are worse than just like, I can't, like this thing is a mess to get working. [00:23:31] Bryan: It's like the, the, the fan issue that, um, where you are now seeing this over, you know, hundreds of machines or thousands of machines. Um, so I, it is painful at more or less all levels of scale. There's, there is no level at which the, the, the pc, which is really what this is, this is a, the, the personal computer architecture from the 1980s and there is really no level of scale where that's the right unit. Running elastic infrastructure is the hardware but also, hypervisor, distributed database, api, etc [00:23:57] Bryan: I mean, where that's the right thing to go deploy, especially if what you are trying to run. Is elastic infrastructure, a cloud. Because the other thing is like we, we've kinda been talking a lot about that hardware layer. Like hardware is, is just the start. Like you actually gotta go put software on that and actually run that as elastic infrastructure. [00:24:16] Bryan: So you need a hypervisor. Yes. But you need a lot more than that. You, you need to actually, you, you need a distributed database, you need web endpoints. You need, you need a CLI, you need all the stuff that you need to actually go run an actual service of compute or networking or storage. I mean, and for, for compute, even for compute, there's a ton of work to be done. [00:24:39] Bryan: And compute is by far, I would say the simplest of the, of the three. When you look at like networks, network services, storage services, there's a whole bunch of stuff that you need to go build in terms of distributed systems to actually offer that as a cloud. So it, I mean, it is painful at more or less every LE level if you are trying to deploy cloud computing on. What's a control plane? [00:25:00] Jeremy: And for someone who doesn't have experience building or working with this type of infrastructure, when you talk about a control plane, what, what does that do in the context of this system? [00:25:16] Bryan: So control plane is the thing that is, that is everything between your API request and that infrastructure actually being acted upon. So you go say, Hey, I, I want a provision, a vm. Okay, great. We've got a whole bunch of things we're gonna provision with that. We're gonna provision a vm, we're gonna get some storage that's gonna go along with that, that's got a network storage service that's gonna come out of, uh, we've got a virtual network that we're gonna either create or attach to. [00:25:39] Bryan: We've got a, a whole bunch of things we need to go do for that. For all of these things, there are metadata components that need, we need to keep track of this thing that, beyond the actual infrastructure that we create. And then we need to go actually, like act on the actual compute elements, the hostos, what have you, the switches, what have you, and actually go. [00:25:56] Bryan: Create these underlying things and then connect them. And there's of course, the challenge of just getting that working is a big challenge. Um, but getting that working robustly, getting that working is, you know, when you go to provision of vm, um, the, all the, the, the steps that need to happen and what happens if one of those steps fails along the way? [00:26:17] Bryan: What happens if, you know, one thing we're very mindful of is these kind of, you get these long tails of like, why, you know, generally our VM provisioning happened within this time, but we get these long tails where it takes much longer. What's going on? What, where in this process are we, are we actually spending time? [00:26:33] Bryan: Uh, and there's a whole lot of complexity that you need to go deal with that. There's a lot of complexity that you need to go deal with this effectively, this workflow that's gonna go create these things and manage them. Um, we use a, a pattern that we call, that are called sagas, actually is a, is a database pattern from the eighties. [00:26:51] Bryan: Uh, Katie McCaffrey is a, is a database reCrcher who, who, uh, I, I think, uh, reintroduce the idea of, of sagas, um, in the last kind of decade. Um, and this is something that we picked up, um, and I've done a lot of really interesting things with, um, to allow for, to this kind of, these workflows to be, to be managed and done so robustly in a way that you can restart them and so on. [00:27:16] Bryan: Uh, and then you guys, you get this whole distributed system that can do all this. That whole distributed system, that itself needs to be reliable and available. So if you, you know, you need to be able to, what happens if you, if you pull a sled or if a sled fails, how does the system deal with that? [00:27:33] Bryan: How does the system deal with getting an another sled added to the system? Like how do you actually grow this distributed system? And then how do you update it? How do you actually go from one version to the next? And all of that has to happen across an air gap where this is gonna run as part of the computer. [00:27:49] Bryan: So there are, it, it is fractally complicated. There, there is a lot of complexity here in, in software, in the software system and all of that. We kind of, we call the control plane. Um, and it, this is the what exists at AWS at GCP, at Azure. When you are hitting an endpoint that's provisioning an EC2 instance for you. [00:28:10] Bryan: There is an AWS control plane that is, is doing all of this and has, uh, some of these similar aspects and certainly some of these similar challenges. Are vSphere / Proxmox / Hyper-V in the same category? [00:28:20] Jeremy: And for people who have run their own servers with something like say VMware or Hyper V or Proxmox, are those in the same category? [00:28:32] Bryan: Yeah, I mean a little bit. I mean, it kind of like vSphere Yes. Via VMware. No. So it's like you, uh, VMware ESX is, is kind of a key building block upon which you can build something that is a more meaningful distributed system. When it's just like a machine that you're provisioning VMs on, it's like, okay, well that's actually, you as the human might be the control plane. [00:28:52] Bryan: Like, that's, that, that's, that's a much easier problem. Um, but when you've got, you know, tens, hundreds, thousands of machines, you need to do it robustly. You need something to coordinate that activity and you know, you need to pick which sled you land on. You need to be able to move these things. You need to be able to update that whole system. [00:29:06] Bryan: That's when you're getting into a control plane. So, you know, some of these things have kind of edged into a control plane, certainly VMware. Um, now Broadcom, um, has delivered something that's kind of cloudish. Um, I think that for folks that are truly born on the cloud, it, it still feels somewhat, uh, like you're going backwards in time when you, when you look at these kind of on-prem offerings. [00:29:29] Bryan: Um, but, but it, it, it's got these aspects to it for sure. Um, and I think that we're, um, some of these other things when you're just looking at KVM or just looks looking at Proxmox you kind of need to, to connect it to other broader things to turn it into something that really looks like manageable infrastructure. [00:29:47] Bryan: And then many of those projects are really, they're either proprietary projects, uh, proprietary products like vSphere, um, or you are really dealing with open source projects that are. Not necessarily aimed at the same level of scale. Um, you know, you look at a, again, Proxmox or, uh, um, you'll get an OpenStack. [00:30:05] Bryan: Um, and you know, OpenStack is just a lot of things, right? I mean, OpenStack has got so many, the OpenStack was kind of a, a free for all, for every infrastructure vendor. Um, and I, you know, there was a time people were like, don't you, aren't you worried about all these companies together that, you know, are coming together for OpenStack? [00:30:24] Bryan: I'm like, haven't you ever worked for like a company? Like, companies don't get along. By the way, it's like having multiple companies work together on a thing that's bad news, not good news. And I think, you know, one of the things that OpenStack has definitely struggled with, kind of with what, actually the, the, there's so many different kind of vendor elements in there that it's, it's very much not a product, it's a project that you're trying to run. [00:30:47] Bryan: But that's, but that very much is in, I mean, that's, that's similar certainly in spirit. [00:30:53] Jeremy: And so I think this is kind of like you're alluding to earlier, the piece that allows you to allocate, compute, storage, manage networking, gives you that experience of I can go to a web console or I can use an API and I can spin up machines, get them all connected. At the end of the day, the control plane. Is allowing you to do that in hopefully a user-friendly way. [00:31:21] Bryan: That's right. Yep. And in the, I mean, in order to do that in a modern way, it's not just like a user-friendly way. You really need to have a CLI and a web UI and an API. Those all need to be drawn from the same kind of single ground truth. Like you don't wanna have any of those be an afterthought for the other. [00:31:39] Bryan: You wanna have the same way of generating all of those different endpoints and, and entries into the system. Building a control plane now has better tools (Rust, CockroachDB) [00:31:46] Jeremy: And if you take your time at Joyent as an example. What kind of tools existed for that versus how much did you have to build in-house for as far as the hypervisor and managing the compute and all that? [00:32:02] Bryan: Yeah, so we built more or less everything in house. I mean, what you have is, um, and I think, you know, over time we've gotten slightly better tools. Um, I think, and, and maybe it's a little bit easier to talk about the, kind of the tools we started at Oxide because we kind of started with a, with a clean sheet of paper at oxide. [00:32:16] Bryan: We wanted to, knew we wanted to go build a control plane, but we were able to kind of go revisit some of the components. So actually, and maybe I'll, I'll talk about some of those changes. So when we, at, For example, at Joyent, when we were building a cloud at Joyent, there wasn't really a good distributed database. [00:32:34] Bryan: Um, so we were using Postgres as our database for metadata and there were a lot of challenges. And Postgres is not a distributed database. It's running. With a primary secondary architecture, and there's a bunch of issues there, many of which we discovered the hard way. Um, when we were coming to oxide, you have much better options to pick from in terms of distributed databases. [00:32:57] Bryan: You know, we, there was a period that now seems maybe potentially brief in hindsight, but of a really high quality open source distributed databases. So there were really some good ones to, to pick from. Um, we, we built on CockroachDB on CRDB. Um, so that was a really important component. That we had at oxide that we didn't have at Joyent. [00:33:19] Bryan: Um, so we were, I wouldn't say we were rolling our own distributed database, we were just using Postgres and uh, and, and dealing with an enormous amount of pain there in terms of the surround. Um, on top of that, and, and, you know, a, a control plane is much more than a database, obviously. Uh, and you've gotta deal with, uh, there's a whole bunch of software that you need to go, right. [00:33:40] Bryan: Um, to be able to, to transform these kind of API requests into something that is reliable infrastructure, right? And there, there's a lot to that. Uh, especially when networking gets in the mix, when storage gets in the mix, uh, there are a whole bunch of like complicated steps that need to be done, um, at Joyent. [00:33:59] Bryan: Um, we, in part because of the history of the company and like, look. This, this just is not gonna sound good, but it just is what it is and I'm just gonna own it. We did it all in Node, um, at Joyent, which I, I, I know it sounds really right now, just sounds like, well, you, you built it with Tinker Toys. You Okay. [00:34:18] Bryan: Uh, did, did you think it was, you built the skyscraper with Tinker Toys? Uh, it's like, well, okay. We actually, we had greater aspirations for the Tinker Toys once upon a time, and it was better than, you know, than Twisted Python and Event Machine from Ruby, and we weren't gonna do it in Java. All right. [00:34:32] Bryan: So, but let's just say that that experiment, uh, that experiment did ultimately end in a predictable fashion. Um, and, uh, we, we decided that maybe Node was not gonna be the best decision long term. Um, Joyent was the company behind node js. Uh, back in the day, Ryan Dahl worked for Joyent. Uh, and then, uh, then we, we, we. [00:34:53] Bryan: Uh, landed that in a foundation in about, uh, what, 2015, something like that. Um, and began to consider our world beyond, uh, beyond Node. Rust at Oxide [00:35:04] Bryan: A big tool that we had in the arsenal when we started Oxide is Rust. Um, and so indeed the name of the company is, is a tip of the hat to the language that we were pretty sure we were gonna be building a lot of stuff in. [00:35:16] Bryan: Namely Rust. And, uh, rust is, uh, has been huge for us, a very important revolution in programming languages. you know, there, there, there have been different people kind of coming in at different times and I kinda came to Rust in what I, I think is like this big kind of second expansion of rust in 2018 when a lot of technologists were think, uh, sick of Node and also sick of Go. [00:35:43] Bryan: And, uh, also sick of C++. And wondering is there gonna be something that gives me the, the, the performance, of that I get outta C. The, the robustness that I can get out of a C program but is is often difficult to achieve. but can I get that with kind of some, some of the velocity of development, although I hate that term, some of the speed of development that you get out of a more interpreted language. [00:36:08] Bryan: Um, and then by the way, can I actually have types, I think types would be a good idea? Uh, and rust obviously hits the sweet spot of all of that. Um, it has been absolutely huge for us. I mean, we knew when we started the company again, oxide, uh, we were gonna be using rust in, in quite a, quite a. Few places, but we weren't doing it by fiat. [00:36:27] Bryan: Um, we wanted to actually make sure we're making the right decision, um, at, at every different, at every layer. Uh, I think what has been surprising is the sheer number of layers at which we use rust in terms of, we've done our own embedded firmware in rust. We've done, um, in, in the host operating system, which is still largely in C, but very big components are in rust. [00:36:47] Bryan: The hypervisor Propolis is all in rust. Uh, and then of course the control plane, that distributed system on that is all in rust. So that was a very important thing that we very much did not need to build ourselves. We were able to really leverage, uh, a terrific community. Um. We were able to use, uh, and we've done this at Joyent as well, but at Oxide, we've used Illumos as a hostos component, which, uh, our variant is called Helios. [00:37:11] Bryan: Um, we've used, uh, bhyve um, as a, as as that kind of internal hypervisor component. we've made use of a bunch of different open source components to build this thing, um, which has been really, really important for us. Uh, and open source components that didn't exist even like five years prior. [00:37:28] Bryan: That's part of why we felt that 2019 was the right time to start the company. And so we started Oxide. The problems building a control plane in Node [00:37:34] Jeremy: You had mentioned that at Joyent, you had tried to build this in, in Node. What were the, what were the, the issues or the, the challenges that you had doing that? [00:37:46] Bryan: Oh boy. Yeah. again, we, I kind of had higher hopes in 2010, I would say. When we, we set on this, um, the, the, the problem that we had just writ large, um. JavaScript is really designed to allow as many people on earth to write a program as possible, which is good. I mean, I, I, that's a, that's a laudable goal. [00:38:09] Bryan: That is the goal ultimately of such as it is of JavaScript. It's actually hard to know what the goal of JavaScript is, unfortunately, because Brendan Ike never actually wrote a book. so that there is not a canonical, you've got kind of Doug Crockford and other people who've written things on JavaScript, but it's hard to know kind of what the original intent of JavaScript is. [00:38:27] Bryan: The name doesn't even express original intent, right? It was called Live Script, and it was kind of renamed to JavaScript during the Java Frenzy of the late nineties. A name that makes no sense. There is no Java in JavaScript. that is kind of, I think, revealing to kind of the, uh, the unprincipled mess that is JavaScript. [00:38:47] Bryan: It, it, it's very pragmatic at some level, um, and allows anyone to, it makes it very easy to write software. The problem is it's much more difficult to write really rigorous software. So, uh, and this is what I should differentiate JavaScript from TypeScript. This is really what TypeScript is trying to solve. [00:39:07] Bryan: TypeScript is like. How can, I think TypeScript is a, is a great step forward because TypeScript is like, how can we bring some rigor to this? Like, yes, it's great that it's easy to write JavaScript, but that's not, we, we don't wanna do that for Absolutely. I mean that, that's not the only problem we solve. [00:39:23] Bryan: We actually wanna be able to write rigorous software and it's actually okay if it's a little harder to write rigorous software that's actually okay if it gets leads to, to more rigorous artifacts. Um, but in JavaScript, I mean, just a concrete example. You know, there's nothing to prevent you from referencing a property that doesn't actually exist in JavaScript. [00:39:43] Bryan: So if you fat finger a property name, you are relying on something to tell you. By the way, I think you've misspelled this because there is no type definition for this thing. And I don't know that you've got one that's spelled correctly, one that's spelled incorrectly, that's often undefined. And then the, when you actually go, you say you've got this typo that is lurking in your what you want to be rigorous software. [00:40:07] Bryan: And if you don't execute that code, like you won't know that's there. And then you do execute that code. And now you've got a, you've got an undefined object. And now that's either gonna be an exception or it can, again, depends on how that's handled. It can be really difficult to determine the origin of that, of, of that error, of that programming. [00:40:26] Bryan: And that is a programmer error. And one of the big challenges that we had with Node is that programmer errors and operational errors, like, you know, I'm out of disk space as an operational error. Those get conflated and it becomes really hard. And in fact, I think the, the language wanted to make it easier to just kind of, uh, drive on in the event of all errors. [00:40:53] Bryan: And it's like, actually not what you wanna do if you're trying to build a reliable, robust system. So we had. No end of issues. [00:41:01] Bryan: We've got a lot of experience developing rigorous systems, um, again coming out of operating systems development and so on. And we want, we brought some of that rigor, if strangely, to JavaScript. So one of the things that we did is we brought a lot of postmortem, diagnos ability and observability to node. [00:41:18] Bryan: And so if, if one of our node processes. Died in production, we would actually get a core dump from that process, a core dump that we could actually meaningfully process. So we did a bunch of kind of wild stuff. I mean, actually wild stuff where we could actually make sense of the JavaScript objects in a binary core dump. JavaScript values ease of getting started over robustness [00:41:41] Bryan: Um, and things that we thought were really important, and this is the, the rest of the world just looks at this being like, what the hell is this? I mean, it's so out of step with it. The problem is that we were trying to bridge two disconnected cultures of one developing really. Rigorous software and really designing it for production, diagnosability and the other, really designing it to software to run in the browser and for anyone to be able to like, you know, kind of liven up a webpage, right? [00:42:10] Bryan: Is kinda the origin of, of live script and then JavaScript. And we were kind of the only ones sitting at the intersection of that. And you begin when you are the only ones sitting at that kind of intersection. You just are, you're, you're kind of fighting a community all the time. And we just realized that we are, there were so many things that the community wanted to do that we felt are like, no, no, this is gonna make software less diagnosable. It's gonna make it less robust. The NodeJS split and why people left [00:42:36] Bryan: And then you realize like, I'm, we're the only voice in the room because we have got, we have got desires for this language that it doesn't have for itself. And this is when you realize you're in a bad relationship with software. It's time to actually move on. And in fact, actually several years after, we'd already kind of broken up with node. [00:42:55] Bryan: Um, and it was like, it was a bit of an acrimonious breakup. there was a, uh, famous slash infamous fork of node called IoJS Um, and this was viewed because people, the community, thought that Joyent was being what was not being an appropriate steward of node js and was, uh, not allowing more things to come into to, to node. [00:43:19] Bryan: And of course, the reason that we of course, felt that we were being a careful steward and we were actively resisting those things that would cut against its fitness for a production system. But it's some way the community saw it and they, and forked, um, and, and I think the, we knew before the fork that's like, this is not working and we need to get this thing out of our hands. Platform is a reflection of values node summit talk [00:43:43] Bryan: And we're are the wrong hands for this? This needs to be in a foundation. Uh, and so we kind of gone through that breakup, uh, and maybe it was two years after that. That, uh, friend of mine who was um, was running the, uh, the node summit was actually, it's unfortunately now passed away. Charles er, um, but Charles' venture capitalist great guy, and Charles was running Node Summit and came to me in 2017. [00:44:07] Bryan: He is like, I really want you to keynote Node Summit. And I'm like, Charles, I'm not gonna do that. I've got nothing nice to say. Like, this is the, the, you don't want, I'm the last person you wanna keynote. He's like, oh, if you have nothing nice to say, you should definitely keynote. You're like, oh God, okay, here we go. [00:44:22] Bryan: He's like, no, I really want you to talk about, like, you should talk about the Joyent breakup with NodeJS. I'm like, oh man. [00:44:29] Bryan: And that led to a talk that I'm really happy that I gave, 'cause it was a very important talk for me personally. Uh, called Platform is a reflection of values and really looking at the values that we had for Node and the values that Node had for itself. And they didn't line up. [00:44:49] Bryan: And the problem is that the values that Node had for itself and the values that we had for Node are all kind of positives, right? Like there's nobody in the node community who's like, I don't want rigor, I hate rigor. It's just that if they had the choose between rigor and making the language approachable. [00:45:09] Bryan: They would choose approachability every single time. They would never choose rigor. And, you know, that was a, that was a big eye-opener. I do, I would say, if you watch this talk. [00:45:20] Bryan: because I knew that there's, like, the audience was gonna be filled with, with people who, had been a part of the fork in 2014, I think was the, the, the, the fork, the IOJS fork. And I knew that there, there were, there were some, you know, some people that were, um, had been there for the fork and. [00:45:41] Bryan: I said a little bit of a trap for the audience. But the, and the trap, I said, you know what, I, I kind of talked about the values that we had and the aspirations we had for Node, the aspirations that Node had for itself and how they were different. [00:45:53] Bryan: And, you know, and I'm like, look in, in, in hindsight, like a fracture was inevitable. And in 2014 there was finally a fracture. And do people know what happened in 2014? And if you, if you, you could listen to that talk, everyone almost says in unison, like IOJS. I'm like, oh right. IOJS. Right. That's actually not what I was thinking of. [00:46:19] Bryan: And I go to the next slide and is a tweet from a guy named TJ Holloway, Chuck, who was the most prolific contributor to Node. And it was his tweet also in 2014 before the fork, before the IOJS fork explaining that he was leaving Node and that he was going to go. And you, if you turn the volume all the way up, you can hear the audience gasp. [00:46:41] Bryan: And it's just delicious because the community had never really come, had never really confronted why TJ left. Um, there. And I went through a couple folks, Felix, bunch of other folks, early Node folks. That were there in 2010, were leaving in 2014, and they were going to go primarily, and they were going to go because they were sick of the same things that we were sick of. [00:47:09] Bryan: They, they, they had hit the same things that we had hit and they were frustrated. I I really do believe this, that platforms do reflect their own values. And when you are making a software decision, you are selecting value. [00:47:26] Bryan: You should select values that align with the values that you have for that software. That is, those are, that's way more important than other things that people look at. I think people look at, for example, quote unquote community size way too frequently, community size is like. Eh, maybe it can be fine. [00:47:44] Bryan: I've been in very large communities, node. I've been in super small open source communities like AUMs and RAs, a bunch of others. there are strengths and weaknesses to both approaches just as like there's a strength to being in a big city versus a small town. Me personally, I'll take the small community more or less every time because the small community is almost always self-selecting based on values and just for the same reason that I like working at small companies or small teams. [00:48:11] Bryan: There's a lot of value to be had in a small community. It's not to say that large communities are valueless, but again, long answer to your question of kind of where did things go south with Joyent and node. They went south because the, the values that we had and the values the community had didn't line up and that was a very educational experience, as you might imagine. [00:48:33] Jeremy: Yeah. And, and given that you mentioned how, because of those values, some people moved from Node to go, and in the end for much of what oxide is building. You ended up using rust. What, what would you say are the, the values of go and and rust, and how did you end up choosing Rust given that. Go's decisions regarding generics, versioning, compilation speed priority [00:48:56] Bryan: Yeah, I mean, well, so the value for, yeah. And so go, I mean, I understand why people move from Node to Go, go to me was kind of a lateral move. Um, there were a bunch of things that I, uh, go was still garbage collected, um, which I didn't like. Um, go also is very strange in terms of there are these kind of like. [00:49:17] Bryan: These autocratic kind of decisions that are very bizarre. Um, there, I mean, generics is kind of a famous one, right? Where go kind of as a point of principle didn't have generics, even though go itself actually the innards of go did have generics. It's just that you a go user weren't allowed to have them. [00:49:35] Bryan: And you know, it's kind of, there was, there was an old cartoon years and years ago about like when a, when a technologist is telling you that something is technically impossible, that actually means I don't feel like it. Uh, and there was a certain degree of like, generics are technically impossible and go, it's like, Hey, actually there are. [00:49:51] Bryan: And so there was, and I just think that the arguments against generics were kind of disingenuous. Um, and indeed, like they ended up adopting generics and then there's like some super weird stuff around like, they're very anti-assertion, which is like, what, how are you? Why are you, how is someone against assertions, it doesn't even make any sense, but it's like, oh, nope. [00:50:10] Bryan: Okay. There's a whole scree on it. Nope, we're against assertions and the, you know, against versioning. There was another thing like, you know, the Rob Pike has kind of famously been like, you should always just run on the way to commit. And you're like, does that, is that, does that make sense? I mean this, we actually built it. [00:50:26] Bryan: And so there are a bunch of things like that. You're just like, okay, this is just exhausting and. I mean, there's some things about Go that are great and, uh, plenty of other things that I just, I'm not a fan of. Um, I think that the, in the end, like Go cares a lot about like compile time. It's super important for Go Right? [00:50:44] Bryan: Is very quick, compile time. I'm like, okay. But that's like compile time is not like, it's not unimportant, it's doesn't have zero importance. But I've got other things that are like lots more important than that. Um, what I really care about is I want a high performing artifact. I wanted garbage collection outta my life. Don't think garbage collection has good trade offs [00:51:00] Bryan: I, I gotta tell you, I, I like garbage collection to me is an embodiment of this like, larger problem of where do you put cognitive load in the software development process. And what garbage collection is saying to me it is right for plenty of other people and the software that they wanna develop. [00:51:21] Bryan: But for me and the software that I wanna develop, infrastructure software, I don't want garbage collection because I can solve the memory allocation problem. I know when I'm like, done with something or not. I mean, it's like I, whether that's in, in C with, I mean it's actually like, it's really not that hard to not leak memory in, in a C base system. [00:51:44] Bryan: And you can. give yourself a lot of tooling that allows you to diagnose where memory leaks are coming from. So it's like that is a solvable problem. There are other challenges with that, but like, when you are developing a really sophisticated system that has garbage collection is using garbage collection. [00:51:59] Bryan: You spend as much time trying to dork with the garbage collector to convince it to collect the thing that you know is garbage. You are like, I've got this thing. I know it's garbage. Now I need to use these like tips and tricks to get the garbage collector. I mean, it's like, it feels like every Java performance issue goes to like minus xx call and use the other garbage collector, whatever one you're using, use a different one and using a different, a different approach. [00:52:23] Bryan: It's like, so you're, you're in this, to me, it's like you're in the worst of all worlds where. the reason that garbage collection is helpful is because the programmer doesn't have to think at all about this problem. But now you're actually dealing with these long pauses in production. [00:52:38] Bryan: You're dealing with all these other issues where actually you need to think a lot about it. And it's kind of, it, it it's witchcraft. It, it, it's this black box that you can't see into. So it's like, what problem have we solved exactly? And I mean, so the fact that go had garbage collection, it's like, eh, no, I, I do not want, like, and then you get all the other like weird fatwahs and you know, everything else. [00:52:57] Bryan: I'm like, no, thank you. Go is a no thank you for me, I, I get it why people like it or use it, but it's, it's just, that was not gonna be it. Choosing Rust [00:53:04] Bryan: I'm like, I want C. but I, there are things I didn't like about C too. I was looking for something that was gonna give me the deterministic kind of artifact that I got outta C. But I wanted library support and C is tough because there's, it's all convention. you know, there's just a bunch of other things that are just thorny. And I remember thinking vividly in 2018, I'm like, well, it's rust or bust. Ownership model, algebraic types, error handling [00:53:28] Bryan: I'm gonna go into rust. And, uh, I hope I like it because if it's not this, it's gonna like, I'm gonna go back to C I'm like literally trying to figure out what the language is for the back half of my career. Um, and when I, you know, did what a lot of people were doing at that time and people have been doing since of, you know, really getting into rust and really learning it, appreciating the difference in the, the model for sure, the ownership model people talk about. [00:53:54] Bryan: That's also obviously very important. It was the error handling that blew me away. And the idea of like algebraic types, I never really had algebraic types. Um, and the ability to, to have. And for error handling is one of these really, uh, you, you really appreciate these things where it's like, how do you deal with a, with a function that can either succeed and return something or it can fail, and the way c deals with that is bad with these kind of sentinels for errors. [00:54:27] Bryan: And, you know, does negative one mean success? Does negative one mean failure? Does zero mean failure? Some C functions, zero means failure. Traditionally in Unix, zero means success. And like, what if you wanna return a file descriptor, you know, it's like, oh. And then it's like, okay, then it'll be like zero through positive N will be a valid result. [00:54:44] Bryan: Negative numbers will be, and like, was it negative one and I said airo, or is it a negative number that did not, I mean, it's like, and that's all convention, right? People do all, all those different things and it's all convention and it's easy to get wrong, easy to have bugs, can't be statically checked and so on. Um, and then what Go says is like, well, you're gonna have like two return values and then you're gonna have to like, just like constantly check all of these all the time. Um, which is also kind of gross. Um, JavaScript is like, Hey, let's toss an exception. If, if we don't like something, if we see an error, we'll, we'll throw an exception. [00:55:15] Bryan: There are a bunch of reasons I don't like that. Um, and you look, you'll get what Rust does, where it's like, no, no, no. We're gonna have these algebra types, which is to say this thing can be a this thing or that thing, but it, but it has to be one of these. And by the way, you don't get to process this thing until you conditionally match on one of these things. [00:55:35] Bryan: You're gonna have to have a, a pattern match on this thing to determine if it's a this or a that, and if it in, in the result type that you, the result is a generic where it's like, it's gonna be either the thing that you wanna return. It's gonna be an okay that contains the thing you wanna return, or it's gonna be an error that contains your error and it forces your code to deal with that. [00:55:57] Bryan: And what that does is it shifts the cognitive load from the person that is operating this thing in production to the, the actual developer that is in development. And I think that that, that to me is like, I, I love that shift. Um, and that shift to me is really important. Um, and that's what I was missing, that that's what Rust gives you. [00:56:23] Bryan: Rust forces you to think about your code as you write it, but as a result, you have an artifact that is much more supportable, much more sustainable, and much faster. Prefer to frontload cognitive load during development instead of at runtime [00:56:34] Jeremy: Yeah, it sounds like you would rather take the time during the development to think about these issues because whether it's garbage collection or it's error handling at runtime when you're trying to solve a problem, then it's much more difficult than having dealt with it to start with. [00:56:57] Bryan: Yeah, absolutely. I, and I just think that like, why also, like if it's software, if it's, again, if it's infrastructure software, I mean the kinda the question that you, you should have when you're writing software is how long is this software gonna live? How many people are gonna use this software? Uh, and if you are writing an operating system, the answer for this thing that you're gonna write, it's gonna live for a long time. [00:57:18] Bryan: Like, if we just look at plenty of aspects of the system that have been around for a, for decades, it's gonna live for a long time and many, many, many people are gonna use it. Why would we not expect people writing that software to have more cognitive load when they're writing it to give us something that's gonna be a better artifact? [00:57:38] Bryan: Now conversely, you're like, Hey, I kind of don't care about this. And like, I don't know, I'm just like, I wanna see if this whole thing works. I've got, I like, I'm just stringing this together. I don't like, no, the software like will be lucky if it survives until tonight, but then like, who cares? Yeah. Yeah. [00:57:52] Bryan: Gar garbage clock. You know, if you're prototyping something, whatever. And this is why you really do get like, you know, different choices, different technology choices, depending on the way that you wanna solve the problem at hand. And for the software that I wanna write, I do like that cognitive load that is upfront. With LLMs maybe you can get the benefit of the robust artifact with less cognitive load [00:58:10] Bryan: Um, and although I think, I think the thing that is really wild that is the twist that I don't think anyone really saw coming is that in a, in an LLM age. That like the cognitive load upfront almost needs an asterisk on it because so much of that can be assisted by an LLM. And now, I mean, I would like to believe, and maybe this is me being optimistic, that the the, in the LLM age, we will see, I mean, rust is a great fit for the LLMH because the LLM itself can get a lot of feedback about whether the software that's written is correct or not. [00:58:44] Bryan: Much more so than you can for other environments. [00:58:48] Jeremy: Yeah, that is a interesting point in that I think when people first started trying out the LLMs to code, it was really good at these maybe looser languages like Python or JavaScript, and initially wasn't so good at something like Rust. But it sounds like as that improves, if. It can write it then because of the rigor or the memory management or the error handling that the language is forcing you to do, it might actually end up being a better choice for people using LLMs. [00:59:27] Bryan: absolutely. I, it, it gives you more certainty in the artifact that you've delivered. I mean, you know a lot about a Rust program that compiles correctly. I mean, th there are certain classes of errors that you don't have, um, that you actually don't know on a C program or a GO program or a, a JavaScript program. [00:59:46] Bryan: I think that's gonna be really important. I think we are on the cusp. Maybe we've already seen it, this kind of great bifurcation in the software that we writ

Realities Remixed, formerly know as Cloud Realities, launches a new season exploring the intersection of people, culture, industry, and tech. Energy transportation is a deeply local business, safely delivering gas and electricity, more and more from renewable sources, directly to the communities it serves. Technology and AI help make that possible by strengthening safety, bringing companies closer to customers, and enabling teams to build the future together. This week, Dave, Esmee, and Rob are joined by John Koerwer, CIO of UGI Corporation, to explore explore why “the business” and tech still struggle to speak the same language, nd what helps close the gap.TLDR00:35 – Introduction01:17 – Hang out: new toys and coffee07:55 – Dig in: the business - tech divide21:07 – Conversation with John Koerwer59:40 – The amazing AI technology in The Sphere's version of The Wizard of OzGuestJohn Koerwer: https://www.linkedin.com/in/john-koerwer-46102127/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

William and Eyvonne tackle the biggest AI stories of early 2026. They dissect Matt Schumer’s viral “Something Big is Happening” essay – agreeing professionals need to skill up now while pushing back on the doomsday framing with real-world examples from engineering disciplines. The conversation takes a fascinating turn as Eyvonne draws a parallel between AI-assisted... Read more »

Kieran, Andy & Eddie are back to talk episodes 29 and 30 for FWA TV on The Wrestling Channel. With British Uprising 3 getting ever closer, the pieces are coming together, including one of the hottest angles in company history, the TV debut of a favourite and finally finding out how the hell Mark Sloan & Stevie Knight get their Tag Title shot!This episode's alternative titles:-Birthday SausageThe O IN OCD Stands For OgdenThe Last Of The RemastersThree Minutes Of My Hard WorkThe Special Star PrizeDenim And Leather Going Into Elton JohnTommy HarrisThere Is No Straighter Man Than Mark SloanUsain BoltI Am RighteousHaving A WhiteyA Large Man AppearsGuy's Big BrotherAngry AdrianChibi-Corino IchibanThe Man Who Knocked Out Mike TysonIt's All Your Fault, MateA Complete Nothing BurgerSlow It Down, BrotherWhere's Corino?The Goggles, They Do NothingPlease Leave This Room As You Expect To Find ItBlunderbuss?!Frontier Wrestling Alliance, One Moment PleaseA Cunning DisguiseThe Sloan ClonesSpeed Bump“The Phoenix” Gloria HunnifordThe Bagpipe ReportThe Fact Of The Matter Is This…Holy Sh*t, Meiko Satomura!Five Stone Spud SplashMike Awesome vs. Spike DudleySmacked Over The Head With An MVC SignYou Killed Tyson!Iwan ThomasLicked In The RingSpitting Llama RoutineLeakA monthly show from the people behind Must See Matches, The Arn & Eddie Experience and GCP, and there's two things you can do about it...If you want to follow along, head to the FWA Files channel on YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@TheFWAFiles⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter/Bluesky/YouTube: @FWApodIG: @FWA.podlinktr.ee/FWApodKieran: @kieraneditsEddie: @EddieSideburns/KawadaKicksBestAndy: @oggypart3

Send a textThis episode covers the latest updates in cloud computing, including AWS Spot Interruption metrics, new EC2 instances, Azure and GCP enhancements, and cost management innovations. Perfect for cloud professionals seeking actionable insights and industry trends.keywordsKey topics:AWS Spot Interruption MetricsNew EC2 Memory-Optimized InstancesAzure and GCP Cloud EnhancementsCost Management and Optimization StrategiesCapacity Constraints and AI Impact

2月にシリーズAラウンドでGCPからリード出資させていただいた化学産業の情報基盤をつくるSotas株式会社の代表取締役社長・吉元裕樹さんをゲストにお迎えしました。化学メーカー、自動車メーカー、そしてITスタートアップと多彩なキャリアを歩んできた吉元さんが、なぜ日本の基幹産業であり、巨大かつ伝統的な「化学業界」のDXに挑むことになったのか。「Sotas化学調査」や「Sotasデータベース」を展開し、市場の強い要望に引っ張られる形で圧倒的なPMFを達成。売上成長率2800%という急成長を遂げ、さらにはサプライチェーンを統合する国家プロジェクト（CMP）にスタートアップとして唯一選出されるに至った背景には、業界への深いリスペクトと、「日本の製造業の競争力を強化したい」という強い熱意がありました。シリーズAでの10億円の資金調達を経て、SaaSの枠を超えた「コングロマリット化」とデータ基盤の社会実装へと突き進むSotasの現在地と、これからの挑戦について深掘りしています！■概要Sotas事業概要吉元さん自己紹介創業の経緯ー「化学業界への恩返し」から始まった、未開拓の巨大産業DXへの挑戦Sotasが挑む化学業界の課題と、VCから見たテーマの魅力市場の要望に引っ張られてたどり着いた「圧倒的PMF」と、国家プロジェクト選出の舞台裏SaaS事業から顧客の収益ドライバー創出へ。Sotasの求める人物像■参考プレスリリース：化学産業の情報基盤をつくるSotas、シリーズAラウンド1stクローズで 10億円の資金調達を実施https://prtimes.jp/main/html/rd/p/000000028.000107222.html■プロフィールSotas株式会社 代表取締役 吉元 裕樹DIC、日産自動車、ITスタートアップを経て、2022年にSotas株式会社を創業。化学とITの知見を生かし、化学産業の各課題を解決するSaaS事業を展開。現在「Sotas化学調査」「Sotasデータベース」の2サービスの開発・提供を行う。また、サービス間のデータ連携による提供価値を複層化、化学産業の全体最適を目指している。「ウラノス・エコシステムの実現のためのデータ連携システム構築・実証事業」の大型実証にも採択。GCP パートナー エムレ 湯浅 秀和GCP Value-up Professional 水野 由貴

Realities Remixed, formerly know as Cloud Realities, launches a new season exploring the intersection of people, culture, technology, and society. Hosts Dave Chapman, Esmee van de Giessen, and Rob Kernahan unpack 2026's defining trends, from AI and sovereignty to adaptability and automation, offering fresh insight, candid reflections, and forward‑looking conversations shaping the year ahead. TLDR00:20 – Introduction of Realities Remixed02:30 – Why the show evolved?04:50 – Dig in with the team: Predictions for 202606:40 – Macro trends13:00 – Sovereignty 17:40 – Agentic AI22:17 – Human–AI interaction26:06 – Cloud trends30:42 – AI scaling, domain‑specific models35:03 – Adoption lag39:34 – Physical AI43:47 – Quantum computing48:21 – Hardware acceleration50:30 – Cybersecurity52:38 – Season outlook HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

On Cloud Realities, the real insight rarely came from technology alone, it emerged at the intersection of People, Culture, Industry, and Technology. In the remix we bring back familiar voices and topics while going deeper into the wider impacts, influence, and potential of today's tech across society. The 2026 season trailer, arriving a little later than planned, opens with this renewed focus and sets the stage for Episode 1, launching on February 19. Here's a quick trailer to get you ready!TLDR00:11 The emergence of insight from Cloud Realities01:00  Where the magic happens 01:42 The real impact on People, Culture, Industry and Tech HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

We’ve spent a decade figuring out how to (more or less) securely authenticate humans. Now AI agents are crashing the party, and identity just got a whole lot more complicated. Today we sit down with Dan Moore, Senior Director of CIAM Strategy and Identity Standards at FusionAuth, to explore the collision course between artificial intelligence... Read more »

Multicloud is changing the way modern teams run their workloads: with real choice and real control.   In this episode, hosts Lois Houston and Nikita Abraham welcome Senior Principal OCI Instructor Sergio Castro, who explains how Oracle has partnered with Microsoft Azure, Google Cloud, and AWS to bring Oracle Database directly inside their data centers, unlocking sub-millisecond latency and new levels of flexibility.   They discuss how organizations can seamlessly migrate from on-premises or between clouds with minimal disruption, take advantage of best-in-class cloud services, and enhance business continuity.   Oracle Database@AWS Architect Professional: https://mylearn.oracle.com/ou/course/oracle-databaseaws-architect-professional/155574 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, Anna Hulkower, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode.   ------------------------------------------------------------   Episode Transcript:   00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:26 Lois: Hello and welcome to the Oracle University Podcast! I'm Lois Houston, Director of Communications and Adoption with Customer Success Services, and with me is Nikita Abraham, Team Lead: Editorial Services. Nikita: Hi everyone! We're kicking off a new season of the podcast today, this time on Oracle Database@AWS. But before we fully dive into that, we've got Sergio Castro with us to introduce multicloud and talk about some of its use cases. Sergio, who you may have heard on the podcast before, is a Senior Principal OCI Instructor with Oracle University.   01:02 Lois: Hi Sergio! Thanks for joining us today. We've spoken a lot about multicloud before, but we couldn't possibly discuss Oracle Database@AWS without another quick intro to multicloud. So, for anyone who doesn't already know, what is multicloud? And could you also talk about what Oracle is doing in this space?  Sergio: It is the use of several Cloud providers to deliver an IT service. Basically, a multi-cloud strategy allows organizations to distribute their workloads across multiple Cloud platforms and providers. This will help aiding the flexibility when picking the right tool for each job. Basically, by selecting the best Cloud Service, IT architects can take advantage of each provider's strengths, including custom hardware, software, and service capabilities. And Oracle is a pioneer in multi-cloud. We have partnerships with Azure, Google Cloud, AWS, and we've been doing multi-cloud since 2019, including Oracle Interconnect for Azure and Oracle Interconnect for Google Cloud. Our multi-cloud products is the Oracle Database Service at Azure, at Google Cloud, and at AWS. Here we have our database inside the data centers of these Cloud Service providers. And multi-cloud can be complemented by resources that you have on-premises, providing you with a hybrid Cloud model. And our public Cloud offerings are not limited to the commercial realm. Multi-cloud is beginning to be available also in the government realm. You can now find Oracle Interconnect for Azure in the US government realm. We also have government realm offerings in the UK and in the European Union. And of course, dedicated Cloud. If you're going to be involving on-premises, you can also have all the Oracle Cloud Infrastructure resources behind your firewall, behind your routers with dedicated Cloud. So the offers from Oracle Cloud Infrastructure are really exceptional. It offers you great flexibility and choice. And the choice is yours. You select the platform for your Oracle Cloud solutions.  03:39 Nikita: You've already mentioned a few of them, but could you talk about the various benefits of multicloud? Sergio: A solid multi-cloud approach enables organizations to leverage the unique strengths and offerings of various Cloud service providers. By not being limited to a single vendor's capabilities or policies, businesses can adapt quickly to changing environments, deploy workloads where they fit best, and rapidly integrate new solutions as market demands evolve.  Relying on a single Cloud vendor can make it challenging and costly to migrate workloads or switch providers if businesses needs change. Multi-cloud strategies mitigate this risk by distributing applications and data across multiple platforms, making technology transition smoother and giving organizations greater bargaining power.  Now, diminishing single points of failure at the Cloud service provider level is great, because distributing systems and data across multiple clouds can definitely reduce dependence on a single provider or region.  This increased geographic diversity improves resilience and provides a more robust backup and recovery option, helping to ensure business continuity in the event of a disaster or even an outage. With access to a range of pricing models and service levels from different providers, organizations can allocate workloads based on cost effectiveness.  This best fit approach encourages cost savings by enabling the selection of the most economical provider for each workload. And this facilitates continuous cost optimization efforts. For example, OCI provides significantly lower data egress charges, this in comparison to our competitors.  Multicloud management empowers organizations to place their workloads in the environments where they perform the best. By distributing workloads based on latency, processing power, or data proximity, businesses can realize performance improvements and achieve higher availability for their critical services.  Now regarding best of breed, each Cloud provider brings unique innovations and specialized services to the market. With a multi-cloud approach, organizations can tailor solutions to meet specific business needs.  Operating across multiple Cloud platforms means access to a wider array of data centers worldwide. This extended reach supports expansion into new markets, improves local performance for users, and helps satisfy data sovereignty requirements in diverse jurisdictions. And speaking about jurisdictions, this flexibility helps meet industry standards and regional data protection laws more effectively.  06:50 Nikita: You mentioned that Oracle's multicloud journey started in 2019 with Azure. What was that early phase like? Sergio: The Oracle Cloud Infrastructure multi-cloud offering started with the Oracle Interconnect for Microsoft Azure, where we connect FastConnect, our digital circuit, to the equivalent Express Route, the digital circuit of Microsoft Azure. Basically FastConnect, it is used typically for extending the OCI services into on-premises. In this case, it is extending these services into another Cloud Service provider, Microsoft Azure or various applications. 07:29 Lois: And then we moved on to Oracle Database Service for Azure, right?  Sergio: It's very similar to what we have right now, the Oracle Database Service at Azure, except that back then, the interface was on OCI. Basically on OCI, we had a console that resembled Azure, but all the services were still running on OCI. Now, the difference with Oracle Database Service at Azure is that we extended Oracle Cloud Infrastructure into the Azure data centers. So Oracle Database at Azure is a child site in the Microsoft Azure data centers. Basically we are placing our hardware in Azure data centers. And this gives us a very good latency, sub-one millisecond latency. 08:24 Lois: What about Oracle's multicloud services with Google and Amazon Web Services?  Sergio: Oracle Interconnect org and Oracle Database app are available for Google Cloud. We do have a service called Oracle Interconnect or Google Cloud, similar to the Azure one. And we also have the Oracle Database inside the Google Cloud data centers operating as a child site. And back in 2024 during Oracle Cloud World, we announced Oracle Database@AWS. This product is now available in two AWS regions. In a similar way, we have the Oracle Database inside the AWS data center with sub-one millisecond latency. We are currently in two data centers, but we have brought plans for being available in over 20 plan regions between Oracle Cloud and Amazon Web Services. 09:32 Nikita: Sergio, how do the capabilities of Oracle Database multicloud help enterprises modernize? Sergio: Oracle Database multi-cloud capabilities help enterprise modernize, adopting a Gen AI strategy, obviously, using the Oracle database to bring Oracle's powerful AI to business data. When you move to multi-cloud environments, you have a playground for you to test and run your workloads and then go into productions with your choice of services on the Oracle Exadata. And reducing risk, it's very easy to move to cloud and gain Oracle maximum availability architecture benefits. And by moving into a multi-cloud environment, you guarantee that you're going to be lowering your cost because you're going to be selecting the best of breed of the services that the Cloud Service provider can offer. Now, with the Oracle Database on multi-cloud environments, you're able to port your Oracle Database knowledge that you have from on-premises to a single cloud provider to a multi-cloud environment. It is the same solution, the same Oracle Database capabilities available everywhere-- on-premises, on your private cloud, on a single cloud provider, or on a multi-cloud environment. Having the same capabilities make it very easy to migrate from on-premises or to migrate from one cloud service provider to the other. Oracle Database multi-cloud solutions really offer the best of both worlds. So a choice of services directly from hyperscaler marketplace and the vendor's cloud portal. 11:21 Lois: And when you say "hyperscalers," who exactly are you referring to? Sergio: These hyperscalers, we're talking about OCI, we're talking about Azure, we're talking about Google cloud, we're talking about AWS. Having the Oracle Database inside the Cloud data centers, regardless of who the hyperscaler provider is, guarantees low latency from your application into your database. But Oracle Database is not the only product. We also offer Oracle Interconnect for Azure and GCP. So if you want to go beyond Oracle Database@Cloud Service provider, or if you're looking to going into a region where the service is not available yet, you can leverage the Oracle Interconnect for Azure or Google Cloud platform. Basically, this service interconnects the Cloud Service providers. We have a partnership and selected regions where we interconnect with either Azure or Google Cloud platform.  12:25 Are you working toward an Oracle Certification? Join one of our live certification prep events! Get insider tips from seasoned experts and connect with others on the same path. Visit mylearn.oracle.com and kick off your certification journey today! 12:45 Nikita: Welcome back! Sergio, could you tell us about some key Oracle Database multicloud use cases? Sergio: Move to cloud. Lift and shift from on-premises to Cloud. Lift and shift from one Cloud Service provider to the other, and consolidate your database on Exadata. This will guarantee all the tools that you need for building innovative applications, bringing artificial intelligence to your business data, on the Oracle powerful AI suite, and combine Database AI with hyperscaler services and frameworks. Remember, the best of breed from the Cloud Service provider of your choice. And this will allow you to reduce complexity and cost. Now according to knowledge is not the only thing. You can also lift and ship without refactoring your data, reducing migration times, complexity, and costs with the Oracle Database Exadata and maximum availability architecture. 13:47 Nikita: What are the key differentiators and benefits of moving Oracle Database workloads to the cloud? Sergio: Extreme performance. Accelerate your database workloads with scalability, scale infrastructure, and consumption, and extreme cost optimization. But that's not all. You also get extreme availability with the Oracle maximum availability architecture, extreme resiliency, making sure that you're always running with high availability and disaster recovery protection and extreme simplicity. So you can use all your Oracle Database and Exadata capabilities. Build innovative applications with Cloud-First capabilities. These are Cloud native capabilities that are going to enable you to innovate for all your applications. And having a unified multi-cloud environment reduce complexity and cost because you can leverage your Exadata infrastructure with share licenses, low administration with database lifecycle automation, and purchase through your hyperscaler marketplace. So you can only have one vendor running all billing, even if you're leveraging multi-cloud solutions. And you can leverage your Oracle investments with bring-your-own-license and earn up to 33% towards Oracle tech license. Reduce administration by up to 65% with the Autonomous self-driving database. Only pay consumption for actual usage with online scaling, Autonomous Database, elastic pools, and per second billing. And enjoy advanced features at no added cost, like using the built-in AI vector search. 15:31 Lois: Can you give us a real-world example of a company using Oracle Database@AWS? Sergio: Fidelity Investments rely on Oracle Database@AWS. They were one of the very first customers to leverage the best of both worlds, in this case, the offering from the AWS hyperscale applications and the Oracle Database Exadata Cloud service inside AWS. Specifically, Fidelity uses this integration to make it easier to move some of its database workloads to AWS, combining the reliability and security of AWS with the critical enterprise software provided by Oracle.  16:17 Lois: Thank you, Sergio, for joining us on the podcast! To learn more about what we discussed today, head over to mylearn.oracle.com and search for the Oracle Database@AWS Architect Professional course. Join us next week when we dive deep into what Oracle Database@AWS is all about. Until then, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 16:43 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

In this episode, we sit down with Adam Zimman, author and VC advisor, to explore the world of progressive delivery and why shipping software is only the beginning. Adam shares his fascinating journey through tech—from his early days as a fire juggler to leadership roles at EMC, VMware, GitHub, and LaunchDarkly – and how those... Read more »

Join us for an inspiring conversation with private equity advisor Jeffrey Malcolm as he shares how Oracle AI certification has transformed his career, family, and approach to business. Discover the real-world impact and opportunities that come from upskilling with Oracle's leading AI training programs.   AI Foundations: https://mylearn.oracle.com/ou/learning-path/become-an-oci-ai-foundations-associate-2025/147781 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, Anna Hulkower, Kris-Ann Nansen, and the OU Studio Team for helping us create this episode.   ------------------------------------------------------------   Episode Transcript:   00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:26 Lois: Welcome to the Oracle University Podcast. I'm your host, Lois Houston, and I'm joined today by Jeffrey Malcolm, Operating Adviser working in the private equity space, to talk about how Oracle AI certifications have impacted his professional and personal life. Hi Jeffrey, thank you so much for taking the time to chat with us today. Our conversation actually stems from a fascinating discussion we had at AI World, Oracle's annual user conference. There you shared your journey to becoming Oracle AI certified... How that process not only shifted your perspective on emerging technologies, but also influenced the way you work, interact with colleagues and clients, and even how you encourage continued learning in your own family. I'm really excited to dive deeper into your story and explore the value and real world benefits of certification in today's AI-driven landscape. 01:20 Jeffrey: Uh Lois, first of all, thank you for having me. Um, it was fantastic running into your teammates at AI World. It was amazing. You know, for for me, you know, as we go through this AI journey with my portfolio companies, I'm constantly looking at what are the new things out there? How can I get myself enabled? So, excited that we're having this conversation today. 01:42 Lois: That's great. So, let's start at the beginning. Before your certifications, what was your initial reaction when you heard about Oracle's OCI and AI certification programs? Were you immediately interested or was there hesitation? Jeffrey: I was skeptical. You know, I was skeptical about OCI capabilities as you guys didn't have much market penetration at the time. You know, in my technology career, I built several enterprise applications on AWS, Azure, and GCP. However, OCI Cloud was new and my wife Kay Malcolm, who you know, kept raving at home over and over about OCI, that the cloud was faster, it was more secure and cost friendly. All of which this thing that I'm hearing are appealing to me as a CIO because that's something that I need to control at my companies that I'm working with. Lois: Right. Jeffrey: So because even though I was skeptical I was like if all of these things are appealing to her, I'm going to go ahead, I'm going to take the certification, I'm going to confirm all of these allegations that she's making to just make sure that, you know, it's actually true. And I was pleasantly surprised once I pulled the covers back. 02:59 Lois: So, you mentioned that your wife actually encouraged you to sign up for the free OCI Foundations training. Can you tell me a little bit more about that experience and how it influenced your decision to continue learning? Jeffrey: When she took the OCI test, at first she passed with a 95% score. So, you know, that encouraged me to just, you know, to take it as as as informative as I can. And to be honest, I wanted to beat her score because, you know, we're competitive. Um, upon passing and seeing the high quality of the candidate, you know, of the content. Uh, it was just hard for me to keep this internally. I wanted to share it with my network. I wanted to kind of see if there's others that could benefit from it. But you know my my initial piece was how can I beat her? And when I was able to date the score I I did score a 96 and beat her and I started sharing it with my network. And what happened Lois it was amazing. You know we we found a a cohort of individuals right around 50 who wanted to start taking the similar course. We were like hey this is something that's amazing. We had individuals who were teachers. We had individuals who had work in the corrections facility. We had plumbers. We had electrician. And they were all skeptical about taking this highly technical course. But we said, "Hey, it's self-paced. It's something that you can do and you can really benefit your career." So at the end, we had 50 people who took it. Of the 50, we had 30 brave souls who went ahead and took the certification. Um, and of the 30, we had a 24 people who passed. That's almost a 90% pass rate. Lois: Yeah.  Jeffrey: And it was so successful, we actually had one individual who shared their news. He was able to get a new position where he became a technical project manager and 3x his salary. So, it was just amazing to watch how people were brave enough to take this content, how OCI did an amazing job of making it self-paced and absorbable and then people got the certification, we published it on LinkedIn, and people actually got jobs. So, it was actually quite quite impressive. 05:24 Lois: That's an incredible story. So, you didn't just become a believer, you actually went and built an application on OCI, right? What was the project and how did your new skills play a role in making that happen? Jeffrey: That's that's a funny story. So at the time I was doing the uh the OCI training. I was building a mobile native application for a startup who was at the time looking to impact climate change. They were socially conscious enterprise dedicated to bring human-centered tools to individuals to live a better life and protect our environment. You know, the the main focus was how can they create an application that had no ads, only information, and provide a tool that would allow people to do joyful actions such as recycling, such as, you know, um looking at how you can lower your power consumption in your home, moving from plastics away from your home and just not consuming that much plastic. So we really wanted to gamify that and build an application that could do that. Uh my training gave me the confidence that as I was architecting the solution to say I needed to build something scalable and secure and full transparency at the time my myself and the rest of my development team was looking at completely AWS solutions. From this training I was like no if we really want something secure and scalable, the Oracle Database specifically Autonomous Database is it and we switched we built a multicloud solution across Azure um AWS and um GCP as well as OCI OCI had our backend and we built our application to leverage it specifically because after taking a training I was convinced that the backend needed to on Oracle Database specifically Autonomous Database. So it helped the the application had been running now for 3 years no issues um from a scalability standpoint and it's been fantastic for us. 07:34 Lois: Well that's great. That's a great story to uh to talk about how you leveraged your training and into something that actually made a difference in your job. So let's talk a little bit about your AI certification. You've described the AI foundations training that you took from Oracle University as demystifying. So tell me about some of the biggest takeaways for you. How did it shift your understanding of what AI really is and how it can be used? Jeffrey: That's a great point. Um you know in the last two three years AI has just been the talk of the town and specifically in my role as an advisor to private equity companies, I'm constantly being asked how can AI impact the top line? How can AI the bottom line and help us realize the multiple or investment pieces to exit um our our different companies? My background whenever I look at a problem I need to understand the guts of it and at the time there was all of these myths and and and confusion and scared to be honest around AI. So coming from an engineering background at MIT, one of the things MIT taught me is I need to look under the covers to truly understand something from a technology standpoint. Do my due diligence before sharing best practices with my portfolio companies that I'm working with. So that made me take on this challenge to say hey I need to understand what's the difference between machine learning, deep learning. What are the different you know kind of you know neural networks out there? When do you want to use it? So the AI foundation training that Oracle was offering was compelling to me to the point that I had had great success on the OCI's piece I'm like let me take this on. So that's what really started my journey back in January of 2023 um this was just a few months after the release of ChatGPT and I really wanted to understand how AI can like skyrocket and help our companies you know drive drive value. So that's what made me take it on. I wanted to understand what's the difference between RNN you know recurrent neural networks convolutional um neural networks and what's the best business case that our companies can use? What's the best time to use a vector database? Why is it important? Why is it needed for AI solution? I wanted to be able to articulate the difference between a RAG and Agentic AI workflow to our companies so that's really was the impass of as to why I wanted to take on this piece and why I wanted to do uh the AI foundational training. 10:08 Lois: And your journey didn't stop with you and Kay, right? Your sons are both Oracle AI-certified as well as I understand it. So, tell me a little bit about that. What inspired them? Jeffrey: So our poor boys um you know we have two boys you know both are in college uh you know and one full transparency is a computer science major at at Georgia Tech. The other one is doing a biology major at um Kennesaw State. In our household, we believe in technology and and we believe anyone can look at it. So, after getting a better understanding of AI and realizing AI is really going to impact every aspect of our our society and our industry, we said we should absolutely have our boys do this. Well, of course, with any kind of young kids, they're going to be hesitant. So um we we had to really incentivize them you know for you know for my for our youngest you know who was not you know been exposed to this technology, he was starting his new business and he wanted to learn and for our oldest being at Georgia Tech he was in that computer science major this was going to help him secure some summer internship. So what we did was to incentivize them we had to turn off the Wi-Fi and so the Wi-Fi could only be on if they were doing the certification and and full transparency after I would say a weekend and like 3 days they were able to complete the course and truly um pass and understand on a foundational level like what's the difference between RAG and Agents? What's the difference between you know RNN and CNN? What are neural networks and what's deep learning the machine learning? For my oldest, who was in computer science, it helped him secure a summer internship because he was able to talk about in a very clear way that he understood AI. And then he was also able to show his um his certification and that helped him to secure an internship with Oracle on the OCI team being a software developer. And to be honest, he's going into his third summer where he's going to be at Oracle um coming this next summer in 2026. So, it's been beneficial. I tell people like this is something that you should absolutely do and um we encourage our friends and we tell the story about our boys because it's it's personal. We show that anyone can do it. 12:35 Lois: That's that's an awesome story. And the whole family is AI certified. That's great. So, you mentioned that you've been sharing your experience with your friends and your colleagues and neighbors. What are some of the common misconceptions or fears that you encounter when you're talking about AI with people? How do you help them understand what it means for their careers and for their lives? Jeffrey: Um, no, it's a great question. You know, a lot of people I talk to still think AI is either going to replace them or that it's too technical for them to ever understand. Lois: Right. Jeffrey: And the fear usually comes from not knowing where to start. Um, I tell them that AI is really just a tool and and and learning the basics helps you to see where it fits into your work life. And and once they understand that it's it's here to help, not to replace them, the conversation shifts and become, oh, okay, now how can I become more knowledgeable so I can be less fearful and identify opportunities? So really, I've been having conversation to say, look, it is not something that's here to replace you. It is a tool and it's a tool that really once you understand how you can use it at your job or in your school work or in where you volunteer, it can really drive automation and speed and allow you to do your job much better. Lois: Yeah, that's so true. And the knowledge understanding is so powerful. It really does change people's perspective from being fearful to being excited about the possibilities with AI.  14:13 Be a part of something big by joining the Oracle University Learning Community! Connect with over 3 million members, including Oracle experts and fellow learners. Engage in topical forums, share your knowledge, and celebrate your achievements together. Discover the community today at mylearn.oracle.com. 14:34 Lois: So tell me a little bit about uh how in your private equity work um I know you interact with a wide variety of clients. How does this knowledge about Oracle's AI uh technology and having the certification empower you to have conversations and build trust with your clients? Jeffrey: The biggest value I've received from getting the Oracle AI certification is that it gives me clear and practical foundations for talking to people about what AI is and what it's not. Let's be honest, there's a lot of hype out there about AI and there's a lot of hype and fear that is unproven. You know, in in my work with private equity, clients want to know what's the real, what's possible, what's worth our investment. You know is this something that we should really look at. So when I can explain AI concepts, agentic workflow, you know, neural networks and one is important, you know, what neural networks are better for vision capabilities, what neural networks are better for audio capabilities, what neural networks are just better for for text. Right? When I can really go down to those simple terms and connect with them on the operating challenges that that companies is facing, then I have tangible case studies that I can help work with my companies on that will build credibility and this hype and fear kind of starts to subside and go away. So with that, you know, when when when working with my private equity companies, I don't want to just do something just because it's the hype. We we really need to make sure that whatever we doing can drive growth and drive IBIDA growth so that we could realize our investment thesis. So this certification really helped me to just ground it in the ways that I could have real conversations with our companies about what are the activities that are going to drive growth, what are the activities that's going to be efficient, what are the activities that are going to have value creation for our company. and it's been something that you know has really been helpful. So, another thing I wanted to share is Kay and I have been working with not only, you know, digging it to enterprises, but I want to take it to universities and we've been working with her mother's alma mater, Alabama State, which is a historically black college and university, to help them get on Oracle AI and then get their foundation going because we want to take this down to the college level and help to drive this and offer it. Through that interaction, they've reached out to the city of uh Montgomery and they want to work with the public schools to start getting the school system to start becoming AI foundation um certified and understand how AI can evolve in everything that you do. So, we've been working with them. We actually had a quick event here that Oracle did um at here in Atlanta and they were able to attend and see some of the application and we're hoping to just continue this. So it it's not something that I'm just talking to my private equity companies about. I'm also want to bring this into universities, bring this into the school because it's a fundamentally different way to solve problems and anyone can do it. You don't have to have a technical background. We're at a foundationally different level where anyone can start their AI journey. 18:05 Lois: Right. And we're just at the beginning of this transformation of the industry. It's a great way to teach the next generation how to be prepared so they can have uh you know great careers and leveraging AI. So, one of the things you've mentioned to me when we've talked in the past is that you boil down AI to two things, data and math, right? Not innovation itself but a tool. So can you elaborate a little bit on that? Jeffrey: Yeah, it's one of the the things I like to say. I think if people talk to me and they say, you know, Jeff always boils it down. So, you know, when I look at it, generative AI foundation is based on the concept of machine learning and deep learning.  Lois: Right. Jeffrey: Um both concepts are based on linear algebra, calculus, probability, statistics, optimization theory. You know those are some of the the the foundation of both of those. LLMs use these foundations and data to generate content and execute tasks. So people's actions in system generate the data that these LLMs use and and math follows specific patterns such as Bayer's theorem, Pythagorean theorem. The innovation that comes from those because you have math in terms of the machine learning and you have data requires thinking out of the box and not following one of these pattern, which is only accomplished through people and our unique experience. So when I think of generative AI that's why I see it as a tool. You're always going to require human interaction to drive an outcome.  Lois: Right. Jeffrey: It it is a combination of math and data. Our unique experience of how we engage and how we look at a problem brings innovation to a challenge. So that's one of the things I always say it's I boils it down to it's math and data. Innovation comes from people. And the reason why it comes from people is we all have unique experiences, unique backgrounds. So we look at a problem differently in terms of how we solve it and that difference is what drives the innovation. Lois: Right. And just leverages AI to do so. Jeffrey: Correct. 20:20 Lois: So you've said that AI levels the playing field. What does that mean to you in practical terms and how have you seen it make an impact in your area of expertise? Jeffrey: When I say level the playing ground, what I mean is there's a unique opportunity where this technology is impacting every industry that we know. Prior to this, you know, if there was a technology solution such as, let's look at the big ones, cloud, everyone moving to the cloud, it required you to have some knowledge of cloud technology. Big data it required you to have some knowledge of data solutions. AI is so transformational that you know if we look take a look at vibe coding that's out there. Your ability to think about a problem and break it down in a in a tangible way and build an app and leverage vibe coding where the LLM can actually do the hard work for you is transformational. It doesn't require you to have that knowledge to drive it. Now to take some and to and and that what what does that do? That allows you to quickly take a business idea from concept all the way to an MVP and then you can then move that into production and and and start making money on whatever that idea is. Does that take you 100% away? No. You're still going to need someone to run it and all of that. But what what I love about it is a lot of individuals have many different ideas and many different concepts. You can now quickly materialize those into a technology solution without having to have a technology background because the hard work of executing that code can be handled by an LLM. That's just one example if we just talk about coding. If you look at other industries such as the legal industry that is doing a lot of stuff around um just looking at how can you quickly process documents and read those, it's really revolutional. So what what I mean by it being transformational, it enhances each industry differently. So therefore, it's not that you have to have a technology background. If you're willing to take it on and look at it as a tool, then we are all at the beginning stage. And to be honest, I'll go as far as saying, Lois, if you don't have a technical background, you're actually at an advantage because you don't have to unlearn some of the activities that you used to solve problem with. You actually can come up with new ways leveraging AI agentic workflow to solve those problems quicker. So that's why I really feel like we are at a level a level playing field and it's a transformational piece and I'm encouraging as many people to just start becoming familiar with the different tools that are out there. Get you yourself a ChatGPT account, start working with Anthropic Claude, get yourself a Gemini account, start working with their notebook LLMs to generate, you know, um, infographics. It's amazing. And that's the new thing that I'm playing with right now. Start using these tools because what's happening is as you understand them, your creativity is going to say, "Oh, I can now do this." Uh, mark my word. I think this is going to be one of the pivotal era that we look back and say, "If I had taken full advantage of AI when it came out, I would have started this many businesses." And I don't want people to have that regret. So that's why I think you know dismiss the fear. You do not have to have a technology background to start AI. You can do that now. You can take your business ideas from concept to MVP, sell it to investors to get an investment to take it to production, and hopefully make the winnings that you want with your ideas. So I'm I'm I'm super excited about where we are as a society because I think this is a huge opportunity. Lois: Yeah, I agree with you. I think we're we're witnessing a transformation uh revolution in in so many different ways and the cross industry applications are just you know mind-blowing. Jeffrey: Yeah. 24:36 Lois: So for somebody who might be intimidated about pursuing an AI or OCI certification you just mentioned how you would encourage them you know to get started anyway. What advice would you offer? How would you recommend that they get started? Jeffrey: So first of all I would say go to Oracle University. Lois: Thank you. Jeffrey: You know I check out their courses. You know the thing that I would say that I like about um the courses there is it's self-paced. It's easily easy to absorb and then it goes deep into whatever topic you want. So, it starts off very high level to give you the background of what you need, but it goes really deep if there's something that you want to go in on. That's that's the first thing. The other piece that I love about it is the courses not only just have talking points, but they have hands-on labs that you can actually put to action the content that you just learned. So one of those hands-on lab with the lab is based on Oracle Live Labs and a little plug for my wife. Oracle Live Labs was created by Kay. I remember when she was here at home building this almost three four five years ago and it's amazing to see the coursework that they have. They have so many different hands-on labs that they can do. So, I would say because of the combination of this great structured content, the ability to then have the hands-on lab through Live Lab that you can then put into action the things that you you you've learned, then it's a quick and tangible way to just receive content and actually test it out. And, you know, to watch Live Labs grow, to see where it is. I'm just I'm I'm excited for her. I'm proud. I know it's one of her her passion. She always says it's it's her her gift to developers is Live Labs because as an engineer myself I can't just hear something and learn it. I have to put it to action. So I think that combination of Oracle University having the content and then having mechanisms like Live Lab to do hands-on is why people should go there and start and then some of the courses you guys have they're free. Lois: Absolutely. Jeffrey: I wouldn't do that. So if they're free, like let me go ahead and start it now and then as I go up, you know, even if there's a charge, like there's a benefit. So you guys have offered such a low entry um um hurdle to start that I don't see why you wouldn't just start there. Lois: And all of our OCI training is free as well as the foundations associate certification. So you're right, there's there's no barrier to entry for sure. Jeffrey: Mhm. 27:13 Lois: Well, Jeffrey, I want to thank you so much for sharing your journey with me today. Your enthusiasm, your experience, and your expertise has just really been inspiring and um I've just been really happy to hear about how this has not only impacted your career, but also your outlook on the industry and um influence the people around you. So, thank you again. I really appreciate it. Jeffrey: Anytime. I'm excited that I was able to share my journey and I hope everyone, you know, starts their own. So excited. Thank you. Lois: Thank you. 27:54 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

Send us a textWe compare Columbia's hot, humid reality against Portland's frigid springs to show how climate drives every merch choice, then dig into vendor timelines, GCP vs full custom hats, and the tradeoffs that keep a team store profitable. We wrap with a deep, lively history of Columbia baseball with Kelly Robinson.• store size and layout shaping assortment• weather dictating fabric, layers and accessories• staples vs experiments and reorder strategy• long-sleeve tees as repeat inventory risk• vendor calendars, lead times and approvals• GCP color tweaks vs true customs and rules• neon and powder blue affiliation storytelling• Official League collabs and cord cap design• 2026–2027 hat drops, BP cap and Copa refresh• Columbia's baseball lineage, leagues and titlesMake sure you guys hit that subscribe button, and then we will see you guys in the next one Support the showMake sure to follow the Dad Hat Chronicles: https://linktr.ee/TheDadHatChronicles

Con el comienzo del nuevo año es importante repasar lo aprendido en 2025 para adelantarnos a las amenazas que se nos vienen en 2026 y justo eso es lo que vamos a hacer en este nuevo episodio de Tierra de Hackers, ⭐️ SPONSORS ⭐️ ️‍♂️ Flare Flare es una plataforma de inteligencia de amenazas y monitoreo de la Dark Web que te ayuda a estar un paso por delante de los ciber-delincuentes. Puedes solicitar una prueba gratuita como oyente de Tierra de Hackers aquí:  https://try.flare.io/martin-vigo/ ️ Prowler Audita y mejora tu seguridad en AWS, Azure, GCP, Kubernetes y M365 con visibilidad centralizada. Solicita una prueba gratuita en el siguiente link:  https://prowler.com/?utm_source=tierra_de_hackers REDES SOCIALES - Twitter: https://twitter.com/tierradehackers - Instagram: https://instagram.com/tierradehackers - TikTok: https://tiktok.com/@tierradehackers - LinkedIn: https://linkedin.com/company/tierradehackers - Facebook: https://facebook.com/tierradehackers Únete al canal oficial de Discord para conectar con la comunidad de Tierra de Hackers: https://tierradehackers.com/discord Apóyanos en Patreon y obtén beneficios exclusivos y merchandising: https://patreon.com/tierradehackers CAPÍTULOS 03:07 Tendencias en Ciberseguridad para 2023 12:02 El Impacto del Phishing 20:09 La Identidad como Nuevo Perímetro 29:20 Intrusiones sin Malware 31:35 Hackeando servicios expuestos 33:52 Los cambios a la hora de atacar empresas 36:43 La evolución de Ransomware 39:21 Convergencia de las técnicas usadas entre grupos APT y cibercriminales 44:58 El aumento de la velocidad 49:35 Vulnerabilidades en infraestructura crítica 52:33 Ciber-operaciones y geopolítica 57:12 Amenazas en las nuevas tecnologías 01:00:38 Mis predicciones personales Notas, links y referencias del episodio: https://www.tierradehackers.com/episodio-141

15 years ago, when we started The Cloudcast the definition of cloud was pretty clear cut. But now in 2026, the rules are all different and a new era of Cloud is upon us. Let's explore what the next generation might provide. SHOW: 994SHOW TRANSCRIPT: The Cloudcast #994 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW NOTESAWS in 2026: The year of proving they still know how to operate (This Week in AWS)WHAT IS AND ISN'T CLOUD IN 2026?Cloud isn't a single companyCloud isn't just public cloudA CIA cloud isn't a Gov cloud isn't your Enterprise CloudMulti-cloud is a real thing that needs technologyGoogle, the people that invented “cloud” are a real company in cloudDefining cloud by purity, or IaaS/PaaS/SaaS terms doesn't really matterDoes data locality matter more in an AI-Cloud era?Do we begin to see price wars over the core Cloud 1.0 primitives?Are we in the 9th inning of Cloud, and the 1st inning of what's next? AI has replaced SaaS in immediacy, so does that have impact on Cloud services? Does the lack of application portfolio finally come back to bite AWS? Can niche cloud services emerge (e.g. is Vercel another Digital Ocean, or something unique?)FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

The industry has pivoted from scripting to automation to orchestration – and now to systems that can reason. Today we explore what AI agents mean for infrastructure with Chris Wade, Co-Founder and CTO of Itential. We also dive into the brownfield reality, the potential for vendor-specific LLMs trained on proprietary knowledge, and advice for the... Read more »

Aaron and Brian make some bold predictions for the 2026 Cloud and AI markets, as well as reviewing the biggest issues going into 2026.  SHOW: 989SHOW TRANSCRIPT: The Cloudcast #989 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW NOTES:CLOUD & AI NEWS OF THE MONTH - NOV 2025 (show)CLOUD & AI NEWS OF THE MONTH - OCT 2025 (show)CLOUD & AI NEWS OF THE MONTH - SEPT 2025 (show)CLOUD & AI NEWS OF THE MONTH - AUG 2025 (show)CLOUD & AI NEWS OF THE MONTH - JUL 2025 (show)CLOUD & AI NEWS OF THE MONTH - JUN 2025 (show)CLOUD & AI NEWS OF THE MONTH - MAY 2025 (show)CLOUD & AI NEWS OF THE MONTH - APR 2025 (show)CLOUD & AI NEWS OF THE MONTH - MAR 2025 (show)2026 CLOUD + AI PREDICTIONS (AND BIG ISSUES TO REVIEW)OpenAI Revenues and Focus AreasNVIDIA customer profitabilityCompanies moving to GOOG TPUsEnterprise success beyond CoPilot/GeminiEnterprise data+model trainabilityEnterprise price hikesBroadcom, AMD, Groq - alternative HW optionsData Center buildoutsDoes AI spending shiftWhat is Agentic AI?Long term spending + short term refocusesPREDICTIONS:At least one big AI IPO in 2026, and it won't go well. (Aaron says Anthropic)People will question whether Sam Altman is the right person to lead OpenAIAI will be a central issue in the 2026 US elections, either about job losses or electricity pricesOne major LPU/TPU/dedicated inference chip will break through in 2026Azure will be the Number One Cloud… (Aaron has to keep it going)We will start to see a shift in the Enterprise from big models in the sky (1+trillion parameters) to dedicated, purpose-built models of 500M or less in size for efficiency and securityGemini will dominate the consumer/prosumer space, OpenAI will go through the trough of disillusionmentThe industry will shift to a base/instruct and a reasoning split of modelsAWS and Azure will double down on being a solutions provider instead of a primitive supplier for AI and infrastructureFEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

From all of us at Cloud Realities, MERRY CHRISTMAS!!!! Back in our December 2022 Christmas special, we explored the far reaches of reality, asking whether we live in a simulation and if that even matters. Now, we return to that question with fresh perspectives and new challenges…In this last Cloud Realities podcast of 2025, Dave, Esmee and Rob return to the simulation with Anders Indset, philosopher, author, and long-time friend of the show, revisiting a question that's been quietly running underneath everything we've discussed since 2022: If reality itself is information and what does that mean for being human? TLDR:00:58 – It's Christmas!08:32 – Major announcement and reflections on the Cloud Realities podcast journey15:32 – Celebrating three big wins: B2B Marketing Awards (Best Content, Best Customer Retention) and The Drum (Best Creative Audio)22:55 – Is there a next thing?23:30 – Welcoming Anders Indset, who shares his vision for practical philosophy and the future of human/AI co-evolution32:02 – Exploring the Quantum Economy and the Singularity Paradox58:10 – Deep dive into the Simulation Hypothesis, revisiting the 2022 discussion and Rob is again confused...01:27:45 – Anders enjoying Christmas in the Norwegian wilderness01:29:40 – Edit pointGuestAnders Indset: https://www.linkedin.com/in/andersindset/ or andersindset.comAdditional information: thequantumeconomy.com and tomorrowmensch.comHostsDave Chapmanger: https://www.linkedin.com/in/chapmandr/Esmee van de Gluhwein: https://www.linkedin.com/in/esmeevandegiessen/Rob Snowmananahan: https://www.linkedin.com/in/rob-kernahan/ProductionDr Mike van Der Buabbles: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapmanger: https://www.linkedin.com/in/chapmandr/ SoundBen Jingle: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Snow:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

In this last episode of the special AI mini-series, we now explore the human side of transformation, where technology meets purpose and people remain at the center. From future jobs and critical thinking to working with C-level leaders, how human intervention and high-quality data drive success in an AI-powered world.This week Dave, Esmee , Rob sit down with Johanna Hutchinson, CDO at BAE systems about why data matters, the rise of Sovereign AI, and the skills shaping the intelligence age. TLDR00:55 Introduction of Johanna Hutchinson02:09 Explaining the State of AI mini-series with Craig06:01 Conversation with Johanna34:20 Weaving today's data tapestries with AI40:20 Going to a rave GuestJohanna Hutchinson: https://www.linkedin.com/in/johanna-hutchinson-95b95568/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/with co-host Craig Suckling: https://www.linkedin.com/in/craigsuckling/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

This week Reid and Dan host Nashville artist and Mr. Long Live Country, Shane Profitt, out in God's Country. If you are looking for a cornerstone good ol' boy conversation you've come to the right place. The three of them cover everything from fishing to deer season to what makes the perfect wild game sausage. They bond over poor man's cheesecake and Shane shares what it has been like to go from mowing ditches for the city to hearing his songs on the radio in a few short years. The episode ends with the three of them singing what should be the anthem of GCP at this point. God's Country on Instagram, TikTok, and Facebook MeatEater on Instagram, Facebook, Twitter, Youtube, and Youtube Clips Subscribe to The MeatEater Podcast Network on YouTube Shop God's Country Merch Shop MeatEater MerchSee omnystudio.com/listener for privacy information.

This week Reid and Dan host Nashville artist and Mr. Long Live Country, Shane Profitt, out in God's Country. If you are looking for a cornerstone good ol' boy conversation you've come to the right place. The three of them cover everything from fishing to deer season to what makes the perfect wild game sausage. They bond over poor man's cheesecake and Shane shares what it has been like to go from mowing ditches for the city to hearing his songs on the radio in a few short years. The episode ends with the three of them singing what should be the anthem of GCP at this point. God's Country on ⁠Instagram⁠, ⁠TikTok,⁠ and ⁠Facebook⁠ ⁠Subscribe to The Brothers Hunt on YT⁠ The Brothers Hunt on ⁠Instagram⁠ and ⁠Facebook⁠ ⁠The Brothers Hunt Merch Learn more about your ad choices. Visit megaphone.fm/adchoices

Notas y referencias en https://www.tierradehackers.com/episodio-140 Puedes apoyar este Podcast en Patreon y obtener beneficios exclusivos. Además, estarás ayudando a que siga publicándose muchos años más. https://www.tierradehackers.com/patreon/ ⭐️ SPONSORS ⭐️ ️‍♂️ Flare Flare es una plataforma de inteligencia de amenazas y monitoreo de la Dark Web que te ayuda a estar un paso por delante de los ciber-delincuentes. Puedes solicitar una prueba gratuita como oyente de Tierra de Hackers aquí:  https://try.flare.io/martin-vigo/ ️ Prowler Audita y mejora tu seguridad en AWS, Azure, GCP, Kubernetes y M365 con visibilidad centralizada. Solicita una prueba gratuita en el siguiente link:  https://prowler.com/?utm_source=tierra_de_hackers ️ YouTube: https://www.youtube.com/tierradehackers  Twitch: https://www.twitch.tv/tierradehackers ➡️ Twitter: https://www.twitter.com/tierradehackers ➡️ LinkedIn: https://www.linkedin.com/company/tierradehackers ➡️ Instagram: https://www.instagram.com/tierradehackers ➡️ Facebook: https://www.facebook.com/tierradehackers ➡️ TikTok: https://www.tiktok.com/@tierradehackers No olvides unirte a nuestra comunidad de Discord:  https://www.tierradehackers.com/discord

Send us a textWe trace a journey from a teenage online threat to security engineering at global scale, exploring how deep fundamentals and distributed thinking shape reliable defenses. Along the way, we unpack certifications, teaching at scale, and building a practical path for learners worldwide.• curiosity-driven path from fear to purpose• foundations before security: systems then networks• depth of concepts vs surface knowledge• thinking at scale with distributed systems• threat modeling as a constant that endures• learning the why behind legacy architectures• community building through a book and courses• coding confidence for security practitioners• practical framework for choosing certifications• direction over collecting badges• reflecting on progress and resetting goals• links to connect and learn moreUse the code security50 to get 50% off the upcoming cybersecurity bootcamp at learn.thecyberinstructor.comPodMatchPodMatch Automatically Matches Ideal Podcast Guests and Hosts For InterviewsSupport the showFollow the Podcast on Social Media! Tesla Referral Code: https://ts.la/joseph675128 YouTube: https://www.youtube.com/@securityunfilteredpodcast Instagram: https://www.instagram.com/secunfpodcast/Twitter: https://twitter.com/SecUnfPodcast Affiliates➡️ OffGrid Faraday Bags: https://offgrid.co/?ref=gabzvajh➡️ OffGrid Coupon Code: JOE➡️ Unplugged Phone: https://unplugged.com/Unplugged's UP Phone - The performance you expect, with the privacy you deserve. Meet the alternative. Use Code UNFILTERED at checkout*See terms and conditions at affiliated webpages. Offers are subject to change. These are affiliated/paid promotions.

Jenny Bristow and Senior Digital Producer Suzie Schmitt of Hedy & Hopp discuss the pervasive, yet often misunderstood, risks of tech dependencies for healthcare marketers. They explain what happens when single points of failure like AWS and Cloudflare experience outages, examine the instability of the internet's open-source foundation, and explain why these issues uniquely impact healthcare organizations. Learn actionable steps to create, document, and execute a disaster plan to mitigate operational and compliance risks.Episode notes:Understanding Tech Dependency Risks: How the internet's "Jenga tower" of dependencies creates massive ripple effects from a single breakCloud Monopolies and Backup Strategy: The risk of relying on three major cloud providers (AWS, Azure, GCP) and the need to have your website backup on a separate infrastructure from your production environmentThe Open-Source Developer Issue: The unsustainability of large enterprises depending on unpaid, volunteer open-source developersCloudflare Explained: How this intermediary service facilitates a secure and faster internet, and what happens when it failsThe Responsibility of Covered Entities: The HIPAA breach notification clock starts when an outage occurs, so it's important to clearly document the timeline of eventsCreating a Disaster Plan and Crisis Communication Strategy: The necessity of defining roles and establishing a communication plan for an inevitable failureDocumenting Dependencies: Steps to list and track all dependencies so that you can quickly assess if an outage impacts your websiteMarketing's Role in Security: Why outage communication falls to the marketing team and the need for close alignment with IT on the disaster planConnect with Jenny:Email: jenny@hedyandhopp.comLinkedIn: https://www.linkedin.com/in/jennybristow/Connect with Suzie:Email: suzie.schmitt@hedyandhopp.comLinkedIn: https://www.linkedin.com/in/suzie-schmitt/ If you enjoyed this episode, we'd love to hear your feedback! Please consider leaving us a review on your preferred listening platform and sharing it with others.

AI is transforming software development—redefining roles, creativity, and community, while challenging developers to embrace ambiguity, orchestrate specialized agents, and stay human through empathy and curiosity. Will AI make developers more creative, or will we forget how the machine really works under the hood?This week Dave, Esmee , Rob sit down with Scott Hanselman, VP Developer Community at Microsoft for a wildly energetic, deeply human, and brilliantly practical conversation about how AI is reshaping software development and what that means for creativity, careers, and all industries. TLDR00:30 – Scott Hanselman introduced as a special guest from Microsoft Ignite 2025.02:16 – Scott discusses how AI is fundamentally redesigning all industries.09:50 – Don't anthropomorphize AI, I want the computer from Star Trek!15:30 – Delegation: contrasting the roles of humans and agents.18:30 – The importance of supporting early career growth and learning.26:30 – Why specificity matters in AI and coding.35:30 – Making AI delightful and fun.45:30 – Always put humans first in AI development.46:00 – Each morning I think about lunch. GuestScott Hanselman: https://www.hanselman.com/The Hanselminutes Podcast: https://www.hanselman.com/podcasts with over 1025 podcasts! HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

In this year-end episode, William and Eyvonne recap their experiences at AutoCon 4 in Austin, Texas. They discuss the conference’s new multi-track format, including Eyvonne’s presentation in the leadership track on why technical projects fail. The conversation dives into how AI tools like Google Gemini can augment – not replace – human creativity, from research... Read more »

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves.And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy. Dave, Esmee, and Rob continue their discussion with Scott Mullins, MD Financial Services at AWS, on how the sector is rapidly embracing cloud, AI, automation, and real-time data to drive agility and stay compliant. TLDR00:30 – Meet Scott Mullins and hear about his re:Invent experience05:00 – Deep dive conversation with Scott25:56 – Fiiction with The Jetsons GuestScott Mullins: https://www.linkedin.com/in/escottmullins/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves.And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy. Dave, Esmee, and Rob wrap up their final AWS re:Invent 2025 conversation with Mustafa Isik, Chief Technologist for Sovereignty at AWS, discussing digital sovereignty and its growing regional importance. They close the event with reflections from Matthew Gillard, co-founder of Cuidado Connect and co-host of Cloud Dialogues, along with insights from the team. TLDR01:29 – Meet Mustafa Isik and hear his keynote highlights04:05 – In-depth discussion with Mustafa31:35 – Exploring the line between science fiction and science fact36:26 – Introduction to Matthew Gillard38:55 – Matt shares his re:Invent reflections from a developer's perspective52:12 – The team looks back on re:Invent 20251:00:02 – The team's take on science fiction versus science fact GuestsMustafa Isik: https://www.linkedin.com/in/codesurgeon/Matt Gillard: https://www.linkedin.com/in/mattgillard/ https://cloud-dialogues.com/HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves.And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy. Dave, Esmee, and Rob kick off their conversation with Tanuja Randery, Managing Director for Europe, the Middle East & Africa (EMEA), diving into cloud innovation and the call to re:Accelerate Europe. TLDR00:49 – Introduction to Tanuja Randery03:29 – Keynote highlights with Tanuja and a deep-dive conversation31:00 – Imaginary tech and Star Trek GuestTanuja Randery: https://www.linkedin.com/in/tanuja-randery/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves.And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy.Dave, Esmee, and Rob bring a double-feature conversation on industry innovation—first with Rob Boetticher, Global Technology Leader for Automotive and Manufacturing, followed by Howard Gefen, GM of the Energy and Utilities Industry Business Unit at AWS. TLDR00:42 – Rob Boetticher & Howard Gefen introduced02:00 – Rob's keynote highlights07:52 –  The future of automotive innovation with Rob23:32 – Tech fiction examples25:59 – Howard Gefen introduced28:00 – Howard's keynote highlights31:04 – Howard on the future of Energy and Utilities50:14 – Tech fiction examples GuestRob Boetticher: https://www.linkedin.com/in/robert-boetticher/Howard Gefen: https://www.linkedin.com/in/hgefen/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

In this sponsored episode recorded live at AutoCon 4 in Austin, we sit down with Peter Sprygada, Chief Architect at Itential, to discuss Itential’s on-stage announcement of FlowAI. Peter shares his journey from network engineering skeptic to AI advocate, explaining how Itential securely connects AI agents to infrastructure with enterprise-grade governance and traceability. We dive... Read more »

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves. And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy. Dave, Esmee, and Rob start their conversation with Chandra Pinapala, Director Global Strategic Partners, to explore why strong partnerships are essential for success in Cloud and AI. TLDR00:40 – Back in Las Vegas with highlights from the AWS re:Invent 2025 keynote12:07 – Meet Chandra Pinapala and dive deep into the conversation35:10 – A playful leap into the world of fiction GuestChandra Pinapala: https://www.linkedin.com/in/chandrapinapala/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Live from the iconic Venetian in Las Vegas, we're rolling out an exclusive mini-series dedicated to AWS re:Invent 2025!Tune in as we sit down with AWS visionaries and take the pulse of the industry on everything shaping the future, Cloud innovation, GenAI, Agents, and the hottest trends making waves.And because what happens in Vegas doesn't always stay in Vegas, we'll spill the latest news, insider buzz, and a little Strip-side gossip to keep things spicy. Dave, Esmee, and Rob continue their conversation with Tim Murnin, Head of Industry & Partner Strategy at AWS, exploring the evolving role of the CIO, adoption delays, and how trends vary across different sectors. TLDR00:36 – Welcome back with Tim Murnin and the team's highlights from the AWS re:Invent 2025 keynote08:04 – In-depth conversation with Tim, exploring key insights32:05 – Where fact meets fiction, including a look at the flying carGuestTim Murnin: https://www.linkedin.com/in/timmurnin/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Accelerating cloud adoption to drive innovation across domains like space, identity, and naval systems presents unique challenges. Success depends on aligning organizational culture, governance, financial models, and regulatory frameworks to enable collaboration, scalability, and software-defined capabilities.  This week, Dave, Esmee, and Rob speak with Danny Polaine, Chief Information Officer at Thales, about the strategic shift to cloud technologies in a high-security sector like defense and the unique challenges that come with it. TLDR:00:52 – Introduction to Danny Polaine03:35 – Rob is confused about the AI privacy dilemma07:40 – Exploring tech in high-security sectors with Danny35:34 – The biggest challenge isn't tech, it's people adapting to new ways of working44:55 – Reflections on the CIO role and a fun story about singing waiters at a wedding Guest Danny Polaine: https://www.linkedin.com/in/danny-polaine-5713454/?originalSubdomain=uk  HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Recorded live at AutoCon4, William Collins and Eyvonne Sharp join forces with John Capobianco for some in the moment thoughts and reflections on the AutoCon experience – from the in-person connections to the workshops to the stage presentations.  John gives us the inside story on his very own workshop and the latest version releases in... Read more »

This week Reid and Dan host a BROPOD in God's Country. They cover their most recent hunt out west chasing Elk, recap where they are in the 2025 deer season, and answer some listener questions that were submitted. They chat through what they feel the right age is to purchase a fire arm for kids, along with addressing some of the nuances around songwriting in Nashville. Happy Thanksgiving from the GCP fam to yours! God's Country on Instagram, TikTok, and Facebook MeatEater on Instagram, Facebook, Twitter, Youtube, and Youtube Clips Subscribe to The MeatEater Podcast Network on YouTube Shop God's Country Merch Shop MeatEater MerchSee omnystudio.com/listener for privacy information.

This week Reid and Dan host a BROPOD in God's Country. They cover their most recent hunt out west chasing Elk, recap where they are in the 2025 deer season, and answer some listener questions that were submitted. They chat through what they feel the right age is to purchase a fire arm for kids, along with addressing some of the nuances around songwriting in Nashville. Happy Thanksgiving from the GCP fam to yours! God's Country on Instagram, TikTok, and Facebook Subscribe to The Brothers Hunt on YT⁠ The Brothers Hunt on ⁠Instagram⁠ and ⁠Facebook⁠ ⁠The Brothers Hunt Merch Learn more about your ad choices. Visit megaphone.fm/adchoices

La era del espionaje masivo “por nuestro propio bien” ha llegado para quedarse... Notas y referencias en https://www.tierradehackers.com/episodio-139 Puedes apoyar este Podcast en Patreon y obtener beneficios exclusivos. Además, estarás ayudando a que siga publicándose muchos años más. https://www.tierradehackers.com/patreon/ ⭐️ SPONSORS ⭐️ ️‍♂️ Flare Flare es una plataforma de inteligencia de amenazas y monitoreo de la Dark Web que te ayuda a estar un paso por delante de los ciber-delincuentes. Puedes solicitar una prueba gratuita como oyente de Tierra de Hackers aquí:  https://try.flare.io/martin-vigo/ ️ Prowler Audita y mejora tu seguridad en AWS, Azure, GCP, Kubernetes y M365 con visibilidad centralizada. Solicita una prueba gratuita en el siguiente link:  https://prowler.com/?utm_source=tierra_de_hackers ️ YouTube: https://www.youtube.com/tierradehackers  Twitch: https://www.twitch.tv/tierradehackers ➡️ Twitter: https://www.twitter.com/tierradehackers ➡️ LinkedIn: https://www.linkedin.com/company/tierradehackers ➡️ Instagram: https://www.instagram.com/tierradehackers ➡️ Facebook: https://www.facebook.com/tierradehackers ➡️ TikTok: https://www.tiktok.com/@tierradehackers No olvides unirte a nuestra comunidad de Discord:  https://www.tierradehackers.com/discord

Hello San Francisco - we're arrived for Microsoft Ignite 2025! The #CloudRealities podcast team has landed this week in San Francisco, we're bringing you the best updates right from the heart of the event. Join us to connect AI at scale, cloud modernization, and secure innovation—empowering organizations to become AI-first. Plus, we'll keep you updated on all the latest news and juicy gossip. Dave, Esmee, and Rob wrap up their Ignite 2025 series with Yina Arenas, CVP of Microsoft Foundry, to discuss why Foundry is the go-to choice for enterprises and how it champions responsible development and innovation.  TLDR00:40 – Introduction to Yina Arenas01:14 – How the team is doing, keynote highlights, and insights from the Expo floor02:50 – Deep dive with Yina on the evolution of Cloud Foundry29:24 – Favourite IT-themed movie, human interaction, and our society31:56 – Personal (and slightly juicy) reflections on the week37:30 – Team reflections on Ignite 2025, including an executive summary per guest and appreciation for Dennis Hansen50:54 – The team's favorite IT-themed movies59:30 – Personal favorite restaurantGuestYina Arenas: https://www.linkedin.com/in/yinaa/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podc

Hello San Francisco - we're arrived for Microsoft Ignite 2025! The #CloudRealities podcast team has landed this week in San Francisco, we're bringing you the best updates right from the heart of the event. Join us to connect AI at scale, cloud modernization, and secure innovation—empowering organizations to become AI-first. Plus, we'll keep you updated on all the latest news and juicy gossip. Dave, Esmee, and Rob continue their conversation with Alistair Speirs, GM of Global Infrastructure for Microsoft's Azure Business Group, exploring how to build and scale the AI and Cloud datacenters of the future worldwide—while also addressing sovereignty requirements.  TLDR00:40 – Introduction to Alistair Speirs04:42 – Keynote highlights and Expo floor insights06:50 – Deep dive conversation with Alistair36:36 – Favorite IT-themed movie, using your brain as compute storage, and why people still matter GuestAlistair Speirs: https://www.linkedin.com/in/alistair/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Hello San Francisco - we're arrived for Microsoft Ignite 2025! The #CloudRealities podcast team has landed this week in San Francisco, we're bringing you the best updates right from the heart of the event. Join us to connect AI at scale, cloud modernization, and secure innovation—empowering organizations to become AI-first. Plus, we'll keep you updated on all the latest news and juicy gossip.  Dave, Esmee and Rob, continue their discussion with John Link, Partner Product Manager at Microsoft, exploring Frontier organizations and how AI and quantum are reshaping R&D, all within the context of Microsoft Discovery. TLDR00:58 – Introduction to John Link (and some fun food spellings)03:55 – Keynote highlights and Expo floor insights06:42 – Deep dive conversation with John25:00 – Favorite IT-themed movie, thoughts on brain implants, and the simulation theory GuestJohn Link: https://www.linkedin.com/in/johnmlink/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Hello San Francisco - we're arrived for Microsoft Ignite 2025! The #CloudRealities podcast team has landed this week in San Francisco, we're bringing you the best updates right from the heart of the event. Join us to connect AI at scale, cloud modernization, and secure innovation—empowering organizations to become AI-first. Plus, we'll keep you updated on all the latest news and juicy gossip. Dave and Esmee continue their conversation with Rob Lefferts, CVP Threat Protection about the key security announcements and explore how we leverage agents to protect, defend, and respond at AI speed.  TLDR00:50 – Introduction to Rob Lefferts01:40 – Keynote highlights and insights from the Expo floor03:19 – In-depth conversation with Rob on why security is critical in the era of AI22:53 – Favorite IT-themed movie linked to the Asimov's principles and the Louvre password  GuestRob Lefferts: https://www.linkedin.com/in/rob-lefferts/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

Hello San Francisco - we're arrived for Microsoft Ignite 2025!The #CloudRealities podcast team has landed this week in San Francisco, we're bringing you the best updates right from the heart of the event. Join us to connect AI at scale, cloud modernization, and secure innovation—empowering organizations to become AI-first. Plus, we'll keep you updated on all the latest news and juicy gossip. Dave, Esmee and Rob kick off with Rob Cromwell, CVP of Engineering and explore the exciting evolution of Copilot and share insights on what's coming next. TLDR 00:50 – Back in San Francisco 02:45 – Highlights from the first keynote 11:08 – Intro and chat with Rob Cromwell 30:40 – Tackling tech and authentication challenges 32:28 – Favorite IT-related film and a glimpse into the near future GuestRob Cromwell: https://www.linkedin.com/in/robcromwell/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini

This week Reid and Dan host multi-platinum artist and female sensation Raelynn out in God's Country. All we can say is buckle up and get ready to one of our wildest episodes of GCP yet. Raelynn is a force to be reckoned with from her stories, to her songwriting, to her insane vocal talent. She talks about touring with Jason Aldean this past year, what it feels like rejoining her label Big Machine Music Group, and balancing it all as a mom in this industry. They discuss how long she would last as an Amish Mom and the episode ends with even Reid and Dan feeling like a redneck woman. God's Country on Instagram, TikTok, and Facebook MeatEater on Instagram, Facebook, Twitter, Youtube, and Youtube Clips Subscribe to The MeatEater Podcast Network on YouTube Shop God's Country Merch Shop MeatEater MerchSee omnystudio.com/listener for privacy information.

This week Reid and Dan host multi-platinum artist and female sensation Raelynn out in God's Country. All we can say is buckle up and get ready to one of our wildest episodes of GCP yet. Raelynn is a force to be reckoned with from her stories, to her songwriting, to her insane vocal talent. She talks about touring with Jason Aldean this past year, what it feels like rejoining her label Big Machine Music Group, and balancing it all as a mom in this industry. They discuss how long she would last as an Amish Mom and the episode ends with even Reid and Dan feeling like a redneck woman. God's Country on Instagram, TikTok, and Facebook Subscribe to The Brothers Hunt on YT⁠ The Brothers Hunt on ⁠Instagram⁠ and ⁠Facebook⁠ ⁠The Brothers Hunt Merch Learn more about your ad choices. Visit megaphone.fm/adchoices

This week Chris sits down with Sydney Amanuel from the GCP, Lost Mountain Saga, A People Person, and so much more. We have a Patreon! What to support us? Click HERE! You can find us on: Instagram Bluesky Youtube You can also email us at chaosenginepod@gmail.com We have a Discord now! Feel free to stop by if that interests you! Check out our friends: Pretending to be People! Stories & Lies Sorry, Honey I have to Take This Tabletop Talk Wilderspace Gaming Doomed to Repeat The Great Old Ones Gaming Negative Modifier Chaos Springs Eternal The Black Flare Podcast 9mm Retirement Radio Suffer Not

Today we delve into the tech expertise deficit and why technical depth and decades of doing the work matter more than social media followers and content creation hype. Our guest is Russ White, engineer, author, teacher, and certification developer. We begin with current events in AI, and then investigate the differences between career and influence... Read more »

Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss the top stories in Cloud and AI from October 2025.SHOW: 973SHOW TRANSCRIPT: The Cloudcast #973 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS"SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:Link to October 2025 News and ArticlesFEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Join William Collins and Evyonne Sharp as they catch up on all things AI. They discuss the AI bubble and how it relates to venture capital, stock, and company evaluations. They talk about the AI experience for the average person, the adoption rate of AI tools, and how the AI infrastructure buildout might affect the... Read more »