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Take the 2026 AI Engineering Survey and get >$2k in credits and AIE WF tickets!On the product side, everyone is getting Computer - Perplexity, Manus, Cursor, and so on. Meanwhile on the research side, agentic evals like TerminalBench and GDPVal are also assuming computer (Harbor). On both ends, the consolidating LLM OS stack has become a standard toolkit, and Daytona is one of a small set of AI Infra companies that are booming because of it.“The end of localhost” has been Ivan Burazin's obsession for more than a decade.Something that is all too familiar…Long before agents became the default way people talked about software development, Ivan was already chasing the idea that development should not depend on a fragile local machine. CodeAnywhere, one of the first browser-based IDEs, was an early attempt at that future: move the development environment into the cloud, make setup reproducible, and free developers from the endless “works on my machine” tax.The thesis was directionally right, but the market wasn't ready yet.However, agents changed that. They do not care about a laptop, desk setup, or favorite editor. They need a computer they can access through an API: something stateful enough to keep working, fast enough to spin up instantly, flexible enough to resize, isolated enough to be safe, and composable enough to run the messy real-world workflows that real software engineering actually requires.Daytona isn't just selling “sandboxes” in the narrow code-execution sense. It is the latest version of Ivan's original localhost thesis.In this episode, Daytona's CEO joins swyx to explain why AI agents need more than code execution boxes: they need composable computers, stateful sandboxes, instant startup, dynamic resources, and infrastructure that can survive workloads going from zero to 100,000 CPUs.We go deep on the new agent compute market: Daytona's hard pivot from human dev environments to AI sandboxes, the New Year's Eve MVP that customers begged for, why Daytona runs on bare metal with its own scheduler, how one customer runs almost 850,000 sandboxes a day, and why RL/eval workloads went from 0% to roughly 50% of usage in just months. Ivan also explains why agents need Windows and macOS machines, why CLI may matter more than MCP, why Kubernetes is painful for this workload, and why the future AI cloud may look more like Stripe than AWS.We discuss:* How Daytona grew out of CodeAnywhere, Shift, and the “end of localhost” thesis* Why Daytona pivoted from human dev environments to AI sandboxes* Why agents need composable computers instead of disposable code execution boxes* The New Year's Eve MVP that customers chased API keys for* Why Daytona chose bare metal, stateful snapshots, and its own scheduler* How Daytona spins up one sandbox in ~60ms and 50,000 sandboxes in ~75 seconds* Why Daytona's biggest customer runs ~850,000 sandboxes a day* How RL/eval workloads create zero-to-100,000 CPU spikes* Why RL workloads went from 0% to roughly 50% of Daytona usage* Why customers compare Daytona against EKS/GKS and say they're “never going back”* Why every AI agent may need a computer, including Windows and macOS environments* The Apple licensing constraints that make macOS sandboxes hard* Why CLI gives agents more power than MCP* How open source helps agents integrate Daytona* Why agent-generated PRs may break today's CI/CD assumptions* Why AI SaaS companies reselling tokens may face a cold shower* Why the AI cloud may look more like Stripe than AWSIvan Burazin* LinkedIn: https://www.linkedin.com/in/ivanburazin* X: https://x.com/ivanburazinDaytona* Website: https://www.daytona.io* X: https://x.com/daytonaioTimestamps* 00:00:00 Hook* 00:01:12 Introduction* 00:03:15 CodeAnywhere, Shift, and the end of localhost* 00:05:58 What Daytona is: composable computers for AI agents* 00:08:07 The pivot from dev environments to AI sandboxes* 00:10:17 The New Year's Eve MVP and customers begging for API keys* 00:12:56 Bare metal, stateful sandboxes, and Daytona's scheduler* 00:17:28 60ms startup, 50,000 sandboxes, and 850K daily runs* 00:21:53 Spiky RL/eval workloads and the new agent infra problem* 00:28:12 RL workloads, Kubernetes pain, and dynamic resizing* 00:33:31 Why every AI agent needs a computer* 00:38:48 macOS sandboxes and Apple's licensing problem* 00:44:28 Why CLI may matter more than MCP* 00:48:11 Open source, GitHub stars, and agent integration* 00:53:11 Git, CI/CD, and agent collaboration bottlenecks* 00:58:15 Founder life and building a 25-person infra company* 01:02:44 AI SaaS, token resale, and API-first business models* 01:06:10 GPU sandboxes, data centers, and compute growth* 01:09:48 Why the AI cloud may look more like Stripe than AWS* 01:11:26 Closing thoughtsTranscriptIntroduction: Daytona, CodeAnywhere, and the End of LocalhostSwyx [00:00:02]: Okay, we're in the studio with Ivan Burazin, CEO of Daytona. Welcome.Ivan [00:00:07]: Thanks for having me, man.Swyx [00:00:08]: Ivan, you and I go back.Ivan [00:00:10]: Way back.Swyx [00:00:11]: How I don't even know how, you found, did you reach out or, for Shift.Ivan [00:00:17]: I reached out to you. The reason was you - we were just - we were thinking about I was one of the co-founders of CodeAnywhere, the first browser-based IDE, and so we were thinking a long time of, localhost should die. And you had this article.Swyx [00:00:29]: End of localhost.Ivan [00:00:30]: Then I reached out to you because of that, and then we talked, and I was actually at a different job and learning about I was the head of, developer experience, and you were quite well-versed in that, and I actually reached out to you, among other people, how do we go about that? What are the key things and whatnot at this point in time? And you were nice enough to take the call, and I remember I was late on your call with you.Swyx [00:00:51]: I don't remember.Ivan [00:00:52]: I remember because I was with my then I'm thinking of a girlfriend or wife at that point in time, I'm not sure. It's the same person, so that's great, and I was late ‘cause we were, in, Italy on, vacation, and then I was late for something. I felt so bad, and you were so nice to be, good about.Swyx [00:01:10]: The reason I'm nice is because I'm also late to other people, so it's like, who's, who's without sin here, yeah, so I have to, for those who don't know, InfoBip Shift, there's this whole thing that, you did in the past, and, and that was basically one of the inspirations for me starting AI Engineer, which is like, I have to thank you for giving me that push to be like, “Oh, you can, you can build and sell conferences?”Ivan [00:01:34]: I remember you asked you asked me at the beginning to give me advisory shares, and I was so focused on what we were doing, I said no, and I should've took the advisory shares. So I'm sorry, dude. But anyway.Swyx [00:01:43]: We're not, we're not venture backed.Ivan [00:01:44]: No, it doesn't matter.Swyx [00:01:45]: It's Yeah, anyway, so I think what's impressive about you is that CodeAnywhere is the thing that you've been trying to build, and, you kind of put it on hold and then came back after InfoBip. Just give us the story, do you - the story and the origin story, going into Daytona.From CodeAnywhere and Shift to DaytonaIvan [00:02:05]: Sure. Like, really way back, me and my co-founder have been together. I say this, I've said this multiple times, it's like we were married and divorced and married. Some people actually ask me is my co-founder my partner. they thought it literally. It's not literally, but we have done multiple companies together, and to your point, we had this shift where we went from the CodeAnywhere to the conference called Shift, and then back to, Daytona. We originally started stacking servers, doing like virtualization in the early 2000s and, routers and doing basically all these things, at a foundational level, and that was a services company which we sold to focus on what my co-founder actually invented, which was the very first browser-based IDE, right, I say the first. Before us was actually Heroku. They did it for a very short time until they became Heroku. But outside of them, we were the only one, and it was called.Swyx [00:02:55]: There was Cloud9.Ivan [00:02:57]: Cloud9 came out slightly after us. There was Replit, which came out when we stopped doing it, Replit came out, and they have been successful since then, which is great. There was Nitrous.io. There was quite a few that existed at the time, but it was like too early. But the interesting part is that we, at that point in time, because there was no VS Code, there was no Kubernetes, and Docker had just started when we Or I'm not sure if it was even public at that point in time. And so we had to build everything to the whole stack ourselves and that was the key learning that we brought into and that we've been using in Daytona today. So it was super early. There's about 3 million people used CodeAnywhere. It was slightly, it was angel-backed more than venture-backed. We ended up paying everyone back because it didn't have that sort of scale. But, three years ago, we started something similar with Daytona, which is not what we are today, but it was automating dev environments for human engineers, the basically the underlying stack of CodeAnywhere. And then we did a hard pivot last January to sandboxes. And so here we are.Swyx [00:04:01]: Historic pivot, yeah, and, it's one of those things where, I had independently invested in CodeAnywhere, but also in E2B, and then both of you pivoted into the same thing, and I'm like, “F**k.”Ivan [00:04:12]: You invested, you invested in Daytona. You invested in Daytona. But you were the first If we had not got your check, we wouldn't have done it.Swyx [00:04:18]: No way.Ivan [00:04:19]: No, it was like, “We have to get him on board first,” and you were that kicker that we, that got us off the ground.Swyx [00:04:23]: No, because you were putting me on your pitch deck, man. I was like, “Man, this is like a good trip if I don't invest.”Ivan [00:04:29]: That's because it was your quote. It's like we.Swyx [00:04:30]: Yeah. It's the end of localhost.Ivan [00:04:31]: Did a bunch of research about end of localhost and who was interested in that,.Swyx [00:04:34]: No, that's like, I put, I wrote that blog post, and every single company in that field reached out to me, and then every VC who was receiving those pitches then also had to call me and, talk it, talk through it with me.Ivan [00:04:47]: It's finally happening though.Swyx [00:04:48]: It was really super interesting.Ivan [00:04:48]: It's finally happening.Swyx [00:04:49]: It's finally happening.Ivan [00:04:49]: Yeah, it's finally.Swyx [00:04:49]: It's finally happening, with maybe sort of non-human users. Yeah, so what is Daytona today? Let's get like a quick description. I'm wearing the shirt.What Daytona Is Today: Composable Computers for AI AgentsIvan [00:04:58]: You're wearing the shirt. Yes,.Swyx [00:04:59]: It says, I think your branding is very good. Like, it's very consistent. It runs AI code. Like, it cannot be simpler.Ivan [00:05:05]: Exactly, but we're gonna probably have to change that.Swyx [00:05:07]: Oh, s**t.Ivan [00:05:07]: It's also a subset of what we do. Unfortunately, we really love this, Run AI Code is super simple. People interpret it different ways. I think we've given out 5,000, 6,000 of these shirts. People wear them with pride because it doesn't really market about us.Swyx [00:05:21]: Yeah, Daytona's on the back.Ivan [00:05:22]: It markets the back. It markets to the person itself, so I think we did a really good job on that one. But it is also a subset of what we do, because people, when they think about Run AI Code, they just think about these small, let's call it isolates, code execution boxes that, you send some code, you get an output. Whereas what Daytona is today is essentially composable computers for AI agents. It is, the market calls them sandboxes which can be misleading.Swyx [00:05:44]: All these things. All these things on.Ivan [00:05:45]: Yeah, exactly, ‘cause it can be misleading ‘cause people usually think about sandboxes as a demo or a test environment versus a production-grade environment. But what Daytona does, if you think of the laptop that you have in front of you or the computer that's over there, or, my wife is an architect, so she has like a Windows with a 3D graphics card inside to do 3D rendering. Like, as humans, we have different computers or different compositions of computers. And our belief is strongly that agents today and going forward will need all these different compositions of computers to do different types of tasks. And so we offer that basically through an API.Swyx [00:06:19]: Yeah, to give people - I'm trying to sort of front-load all the aha moments or the wow moments so that people can, stay engaged and click like and subscribe. the market is exploding, right? Like, you have been reporting 74% month-on-month growth, and it also, it's just been growing for a while. Like, it's been going like this. And every single - It's not just you guys. It's every single.Ivan [00:06:41]: Everyone, yeah.Swyx [00:06:42]: Sort of, compute provider. I don't know if you agree with me saying compute provider or not.Ivan [00:06:48]: It's fine.Swyx [00:06:48]: Yeah. So like organically PLG-driven growth, but also enterprise is doing super well, I think I wanna rewind to January of last year when you did the pivot. Like, so you obviously called this market early, and you were positioned for it, and you are now one of the market leaders. But what was the insight that made you do the pivot?The Pivot: From Human Dev Environments to Agent SandboxesIvan [00:07:06]: The insight that made us do this pivot is the quarter before that, so end of 2024, when we had - Basically, we did a demo with - I don't I think we discussed this as well, Devin was not public. You actually gave me access to Devin at that time. So Devin.Swyx [00:07:25]: I did?Ivan [00:07:26]: Yeah, you gave me access.Swyx [00:07:26]: I don't think I was supposed.Ivan [00:07:27]: Yeah, exactly.Swyx [00:07:28]: Yeah, I.Ivan [00:07:28]: So it doesn't matter. You.Swyx [00:07:29]: Yeah. I gave like three friends access.Ivan [00:07:31]: Yeah, or it was a call and you showed it to me. It doesn't matter. but OpenDevin was available, which is now called OpenHands. And so we're like, “Oh, this seems to be a thing. This is not public. Let's take our for human automation of dev environments and take, OpenDevin and launch that as a SaaS.” And we did that. Not very many people signed up and used it, but a lot of people reached out that were building agents, and they were like, “Hey, my agent needs a compute sandbox runtime,” whatever you wanna call it. I forgot what it was called at that point. And then we were like, “Oh, amazing. This is a new market. Here is our infrastructure. Here's our product, and go.” And what we found really fast, soon, was that people did not like what we had built. It didn't work. And I remember talking to people at the beginning when we're doing this, the sandbox we're building for agents. People were like, “Oh, why is it different? It's the same thing. We have like EC2, we have VMs, we have all these things.” But we saw that everyone we gave it to, it was like 20, 30 people, they all said, “No.” Like, “This is not what we need. This sort of breaks.” And basically, me and my co-founder not knowing a lot about - ‘cause we're infra people. We're not AI people. So I basically took it upon myself to like watch every single podcast that exists, including all of, all of these and all that, and sort of get up to date, read all the blogs, like get, understand what's going on.Swyx [00:08:45]: Do you wanna shout out who else was useful, just in case people are also looking.Ivan [00:08:49]: Generally we -, I looked at There's a few of podcast, different segments and different types. So there's you guys, No Priors, Bill Gurley's was great while.Swyx [00:09:04]: VG2, yeah.Ivan [00:09:05]: Yeah, while it was around. So there's a few. 20VC is interesting from a different dynamic, and some are different dynamic. But there was, also Red Points.Swyx [00:09:14]: We're not really about the compute market.Ivan [00:09:15]: It was also already - Sorry?Swyx [00:09:16]: You're, you want - You're looking at the agent infra market.Ivan [00:09:19]: I was looking at the agent market and the AI market in general and sort of understanding who are the players, what the perception, and how that goes. And like obviously you complement this with like going to conferences, going to events, going to meetups, reading white papers, like doing all the things that you have to do to understand what's happening. And so when we figured, when we sort of had an idea of what we had to build, literally over the New Year's Eve, literally on New Year's Eve, I half vibe coded the first MVP, first minimal viable product of what Daytona is today. And I went to sleep at like 3:00 AM or something like that. I was doing - I just put my like baby daughter and wife to sleep and, Happy New Year's, and go back to just, doing this. And I sent it to my co-founder, my CTO, and he saw it in the morning. He's like, “This is absolute garbage.” “Do not show this to anybody at all, but the idea is good.” And so he took two weeks, and he rebuilt it.Swyx [00:10:09]: Did it like look like that? Listen, I - It was rough idea.Ivan [00:10:12]: Oh, not even, not even close. Like it was it was way worse. But it was like a very - It was a simplistic view of what it should be. Like, it worked, but it was not ideal. And so he went, we went down the whole, which is his job as CTO, to go, and he came back with this version. We then called all the people that had said like, “This is garbage,” a quarter ago. And we set up these calls, and we gave it to - We just demoed it to everyone. And all the calls went long, every single one. They were 15-minute calls, and they all went to like 25, 30 minutes or whatnot. And everyone said, “We need, we want access.” There was no login, just an API key, ‘cause it was just a beta or an alpha. And they said, “Oh, we want access.” And we're like, “Sure, yeah. Okay, thank you very much.” But after like the next day, if we'd not send it, every single one, like every call that we did, everyone came back, “Where is my API key?” Like everyone wanted it. We're like, “S**t.” Like this is it. Like I've never felt So one, the understanding to your point was like most people thought it was the same infrastructure for humans and agents. We understood a quarter ago it's not. We just didn't know what was the right primitive. And then when we came, and we can talk about what that is, and we gave it to these people, I've never seen, I've never experienced - I've done multiple companies in my life. I've never experienced this, that people literally call you if you do not give them access. Like they want access right now. And so it's like, okay, they don't want this. the thing that they want doesn't seem to exist, or they have not found it, and they really want what we want. And then when we understood that we're onto something, and then when you think about the size of the market, like the market for human engineers and enterprise is a very large market, so think GitLab or whatnot. But the market for every single agent that will exist ever in the future is just like, what is that market? How big is that? And we're like, “We are all in on this.” And so that is where we made sort of the cut between the old product and the new one.Bare Metal, Stateful Sandboxes, and the Lambda + EC2 ModelSwyx [00:12:02]: Yeah. But it wasn't composable at the time?Ivan [00:12:05]: It was very - It was basically just a Linux box that you could change, that you could define number of CPUs, disk, and RAM. Like that is what you could do, but you couldn't have multiple operating systems, you couldn't resize it on the fly, you couldn't add a GPU, you couldn't do like all the things. It was just the, just the first sort of variation of that, yeah.Swyx [00:12:22]: Was it bare metal from the start?Ivan [00:12:24]: It was bare metal from the start. And so the interesting thing that we thought about right away, so our.Swyx [00:12:29]: Which, give people the background, what is the normal path?Ivan [00:12:32]: Yeah, so, basically most providers run this on top of VMs. And also.Swyx [00:12:37]: Firecracker.Ivan [00:12:38]: Yeah, they run on Firecracker and VM. And so we also fire - We can get - We have multiple isolation layers and we can do that. But the common way to do it is that they, one, that the state of the machine, or the hard disk is not part of the sandbox itself. And the other thing is they're not meant to last forever. So most of them are preemptible, like they can There's a time that they can live. And so our thought was when we were going into this is, agents will be like humans in the sense of you don't want your laptop to be shut down until you're done with work. Like, and you want to close the lid and open the lid, it's the same state. So you - Agents would want that, like the pause and come back. They want those two things. But also agents really want speed, right? Can they get it? So when we thought about it's like we need something insanely fast, how to make it fast, how to make it long-running, and stateful. And so those two things, it's like combining a Lambda and an EC2, right? Those two things together. And so we didn't have an idea how others did it, ‘cause we didn't know too that there was a market around this. It was more like, okay, this is what we need, what they need. And we looked at Kubernetes, it wasn't wasn't good enough for that. We looked at Nomad, it didn't enable that. And so our history in rewriting our own scheduler at CodeAnywhere is basically what my CTO came up with. Like, he's like, “Oh, the learnings from there,” and he brought it. And the funny thing is, our third co-founder, when he saw it, he's like, “Dude, what is this? This is like 2008.” Like, we went back in time, and he's like, “Exactly.” And so the reason why Daytona is like super fast, and you see this on benchmarks, is we essentially, we run on bare metal. We have our own scheduler, we use the underlying, disk, CPU, and RAM of the underlying machine, which means your IOPS are insanely fast because there's no, there's no network between an EBS or something like that. But also the snapshot, the point in time, the templates, are also preloaded on the bare metal machines. So when you fire off a sandbox from a template or a snapshot, you're essentially directed to the bare metal machine where that snapshot is based on that NVMe drive, and then it literally just turns on that machine, and it's local. There's no network latency, anything on there. And so that is sort of the specificities that we, when we're thinking from first principles, what a computer would look like for an agent, that is what we came up with, and that's what we created.Benchmarks, 60ms Startup, and 50,000 SandboxesSwyx [00:15:02]: Yeah. I should maybe, I don't know if you endorse this, but there's someone that does compute SDK, you guys do very well on there, with like the TTI, right? I. is this a, is this a is this a relevant benchmark for you guys? I don't know.Ivan [00:15:16]: I don't know, and it changes every day. So today RKL is.Swyx [00:15:18]: I don't know what RKL is. Never heard of it.Ivan [00:15:20]: Yeah. RK, yeah, so it is there.Swyx [00:15:22]: You are, at least a third of the next tier of performance, and then, there's a lot of other better-known names that are very slow to start.Ivan [00:15:31]: Yeah. We've been the number one by far for a long time, and now there's different, there's different definitions also of sandboxes, different isolation patterns, different other things. So RKL runs it literally on the S3, the data, so it's very different, and they spin up a sandbox, spin up a container for that, so it's a different type of thing. So the definition of a sandbox is something that we can all, we all need to get along with. But yeah, we're insanely fast on getting these things, up and running. And so you can see even there that it's a zero point 0.10 to 0.11, so.Swyx [00:16:03]: Close enough. Yeah. what else do you need, right?Ivan [00:16:05]: Yeah. So the benchmarks itself, so, in this, in I don't think the benchmarks equate to market ownership or revenue or anything like that. and I've seen this with multiple benchmarks, not just in sandboxes, but in general benchmarks around.Swyx [00:16:20]: It's table stakes. It's just like.Ivan [00:16:21]: Exactly. But it doesn't hurt.Swyx [00:16:22]: Just roughly check.Ivan [00:16:22]: Like you definitely have to be up there and you have to be competing so that people know that, oh, this is definitely one of the top. Because this is only one dimension of what customers look for. There's other things like how many can you spin up consecutively? There's a feature set, there's support, there's like all different things that people look at, but you definitely have to be there, on the benchmarks.Swyx [00:16:40]: How many people do people spin up consecutively?Ivan [00:16:43]: So we have.Swyx [00:16:43]: Or concurrently, is the Concurrency, right?Ivan [00:16:45]: There's three metrics that we look at. And so one is like time to spin up one, and so our time to spin up one is 60 milliseconds with network latency. So request, spin up, reply, 60, the whole thing, 60 milliseconds. That is one. But if you wanna spin up 50,000 at once, we are now at about 75 seconds. So it takes about 75 seconds to spin up concurrently 50,000. Some others, there's public data around this, like take 2,000 seconds, which is 30 minutes. Like there's different variations of that. And then there is the so it is speed of one, speed of like multiple, and then how many can you consistently have up and running. And so we basically have right now no limit to how much we can add because we basically own our own metal. But the biggest customer of ours does like about 850,000 every single day is sort of where they're, where they're just shy of a million every single day that they're running, we do have a request for half a million concurrent, which is literally half a million CPUs somewhere running. So that's an interesting.Swyx [00:17:44]: They pay by like vCPU seconds.Ivan [00:17:47]: By seconds, yeah.Swyx [00:17:47]: Or whatever. Yeah. Okay, and so and then, and the other thing is, the sleeping and the resuming, ‘cause it's all the stateful resumption of all these things, how, what kind of workload are people putting through this, right? Like how is it Do we measure by gigabytes in memory, gigabytes in storage? I don't In like network attached storage. I, what are the costly ones of, out of all these features?Workload Economics: CPU, RAM, Network, and StorageIvan [00:18:15]: The most expensive thing are CPU.Swyx [00:18:18]: Okay. Yeah, of course.Ivan [00:18:18]: The second one, yeah Then it's RAM, then it's disk. We actually don't charge.Swyx [00:18:22]: Which is snapshotting, right?Ivan [00:18:23]: No, it's actually the, snapshotting's part of it, but basically the size of your hard disk, of your machine. So do you have 10 gigabytes, do you have 20, do you have 50, do you have whatever? And then the transference of that. Right now, currently we don't charge for, network at all at Polychron.Swyx [00:18:37]: Oh, you gotta, yeah, you gotta fix.Ivan [00:18:38]: Yeah. It is very much a it's a larger and larger part of our bill, so we're working around, that part there. Obviously, that is the least, expensive, so the hard disk is the least expensive, so it's basically CPU, RAM, for us network, ‘cause we don't charge the customer, and then hard disk, is how it's split up. But there's also different types of workloads, so we basically split it up into two types of workloads in Daytona. One is what we call background agents or long-running agents. and the other is, basically RLs and evals, which I put sort of together. And so they have very different patterns of usage, and if you look at the usage of a background And I'll just name names of companies, not specifically.Background Agents vs. RL/Evals: Two Usage ShapesSwyx [00:19:21]: Yeah, open, all hands.Ivan [00:19:23]: Yeah. So like a background agent's a Cognition, a Lovable, a like all these things are Harvey. These are all long-running, background agents. And so if you look at their usage patterns, their usage patterns are similar to human, which is like follow the sun. Basically, the usage patterns of that is like noon is probably the highest, and the midnight is the lowest, and then weekends are lower. weekday is higher.Swyx [00:19:42]: Yeah, that's a fun question. How global is it? Is it very US-centric or?Ivan [00:19:46]: The US is a large part, but we have currently, we have Asia, Europe, and the US regions.Swyx [00:19:52]: So it's quite global.Ivan [00:19:53]: Yeah, it's quite global. We have it all over. It's interesting that our I talked to you a bit about this. Our number one city by user.Swyx [00:20:01]: Hmm.Ivan [00:20:02]: Is Singapore.Swyx [00:20:04]: Oh, wow. Amazing.Ivan [00:20:05]: Which is an interesting one, right? Not by revenue, just by just like by individual head count.Swyx [00:20:09]: Really?Ivan [00:20:09]: Just like an interesting thing.Swyx [00:20:10]: Singapore is, Singapore is weirdly high in the adoption charts of AI for the population. It's like an, seven, eight million population. And it's like keeps showing up.Ivan [00:20:20]: No, it's quite interesting. We were quite shocked, and I was like, “Oh, this is interesting.” And also one that's up there.Swyx [00:20:24]: There's a reason I'm doing AI using Singapore. it's because I'm from there.Ivan [00:20:27]: We're there. We're gonna, we're gonna be there as well. and it's interesting that Japan is in the top or like Tokyo's in the top, which is in all the tech cycles it has never been. It has never been, so it's quite interesting that they're.Swyx [00:20:39]: I think the Japanese just love AI. Yeah. It's that, and then it's Brazil. That's it.Ivan [00:20:44]: Brazil has always been in.Swyx [00:20:45]: I think.Ivan [00:20:46]: Even when I look, if you look at like GitHub's data and ask historically with CodeAnywhere, it was always like US, Western Europe, and then you'd have like India, Brazil, China, like that would be there. But like Singapore was not in, specifically Japan was never in sort of that top, that top.Swyx [00:21:01]: Yeah. Weird pockets.Ivan [00:21:01]: Weird. Yeah, so it's very global.Swyx [00:21:02]: Okay, so actually that, but that's helps you to distribute your load through, all time?Ivan [00:21:08]: The interesting thing is like we have those kind of loads, but if you look at the researcher loads, they're quite different. So what they are is like if you give them concurrency of 10,000 or 50,000 or 100,000 CPUs at ARMb, when they fire off a run, it's just 100%. And then it just runs, and then it stops. So it's very, the usage pattern is squares basically, right? And it's also not follow the sun, because people will fire it off at midnight before they go to sleep but then wake up and so it's very unpredictable, so you don't know where that is. So the shapes of the usage are quite different than we have had before. And also what's interesting is when it's sort of a follow the sun, even if you have a high growth company, you can sort of predict your usage patterns and have enough capacity for that, because it's sort of, it grows in a, in a way you can project. When you have companies doing sort of like evals and RL, they're super spiky. So they're gonna come in, it's like, “We're gonna use nothing, then can we have 100,000?” Right? And then go back down. And then 100,000, go back down. So it's very different, right? And.Swyx [00:22:09]: Do you want to lock them into commits so.Ivan [00:22:11]: Yeah, we do.Swyx [00:22:12]: Yeah, okay.Ivan [00:22:12]: We so we have to lock them into some sort of commits to have that capacity, because we have to have, basically we have to have the capacity for peak. Right? And so right now, Daytona's mean utilization is 15%, 1-5.Swyx [00:22:25]: Oh my God.Ivan [00:22:26]: So it's very low.Swyx [00:22:27]: Because it's very spiky.Ivan [00:22:27]: It's very spiky, but we get up to 90%. so we have these things. And so what we're, what we're looking at right now as a company is similar to Cloudflare where you can like geo move things around, but that works really well for basically the background agent where it's follow the sun. But this, it's not. Like it's a very different shape. Obviously with scale you figure these things out, but that's an interesting new problem that we have, as a compute provider in the agent space. And when we were doing the conference recently, and so we talked to like Nikita from Neon and.Swyx [00:22:57]: I should bring it up.Ivan [00:22:58]: Parag from Parallel and whatnot, everyone has the same problem. Whereas the usage is super spiky, and this is something that has not happened before, that you have these types of like it was always, it the amplitudes were not this high, right? So it's quite interesting use case and problem solve.Compute Conference and Spiky Agent InfrastructureSwyx [00:23:12]: Yeah, I don't know if we're gonna bring this up again, but let's just talk about the conference, you had like 1,000 something people at the Warriors game, at the Sorry, where is it? What's.Ivan [00:23:22]: Chase Center.Swyx [00:23:23]: Chase Center.Ivan [00:23:23]: Chase Center.Swyx [00:23:24]: I went. It was, it was very impressive. Obviously, you can, how to throw a conference, what did you learn? you put, you pulled together all these impressive names.Ivan [00:23:33]: What I.Swyx [00:23:34]: What were you looking for?Ivan [00:23:35]: My thesis behind the Compute Conference was let's bring together people that are building infrastructure for AI agents. Because when I think of what we're building, it is the agent is the primary user, what are the ergonomics and usage patterns of agents, and so we can do that. And what I found, this was a theory, it wasn't proven, is that we all have these problems, as I touched onto. And I was, as I was talking on stage, it was like we all have the same underlying infra problems, which is this spiky workloads, unpredictable workloads that we've never had before, in human, compute or human infrastructure. And it's, again, it's the same when I was talking to Parag or when I was talking.Swyx [00:24:20]: Lynn. Nikita.Ivan [00:24:21]: Lynn, Nikita. Lynn especially, I was talking to her the other day as well. Like the It is a very interesting type of problem to solve because I can touch on Cloudflare because there's a lot of like talk about that recently as to how they solve that, which is they have a bunch of geos, and basically, as users work in different places, and depending on your tier, they can move you around the geos. And so that how, that's how they get the higher utilization. But you can sort of predict these, and it's If it's something in You'll rarely get a spike that is 10 orders of magnitude. Like you'll get a like let's say one of your customers has some like an exponential curve. What is that to I'm using Cloudflare as an example. 10%, 20%, whatever it is. I don't, I don't have this data, I'm just assessing. It's surely not 10x, right? It's surely not something there. And so how do you go out and solve this problem? And we're all solving this in different ways. So we have.Swyx [00:25:11]: She also has the same thing.Ivan [00:25:12]: Yeah, I know specifically that like Neon had that issue as well. Like how are we solving these spiky loads and things like that ‘cause we talked about it. And so the interesting thing for me to actually internalize was, yes, everyone that's building for agents first is going through this, and we're all solving similar problems, which is quite.Swyx [00:25:28]: Let me let me double-click on this. Okay. So for example, Neon, I happen to know that they're very sort of S3 oriented, right? so they're just like fully bet on S3. And you get to benefit from S3's distribution and infrastructure. So I would imagine that Neon doesn't have to care, whereas Lynn maybe has to care a bit more because obviously she's doing GPU inference. And, for listeners, we did an episode with her, one and a half years ago. And you have to care. But like, right?Ivan [00:25:54]: Parag cares for sure, and Nikita.Swyx [00:25:58]: And Parag is C of, Parallel.Ivan [00:25:59]: Parallel, yeah.Swyx [00:26:00]: Former CTO of Twitter.Ivan [00:26:01]: Twitter, yeah.Swyx [00:26:02]: They are the search.Ivan [00:26:03]: Yeah, they're search, yeah.Swyx [00:26:03]: I You and I know but the listeners don't know.Ivan [00:26:08]: Yeah, we can put it down in the screen, and so ‘cause we, when we were talking.Swyx [00:26:11]: I'll put it up on the, on the screen.Ivan [00:26:12]: Yeah, right.Swyx [00:26:12]: People can look it up if they need.Ivan [00:26:14]: Look it up. And, yes, but they still have CPU and RAM, allocation that you have to have up and running. And so CPU and RAM, you have to allocate that and have that ready. And so there's basically two ways to do it. One is you either over-provision and you can handle the bursts, or two, you basically have, I don't know if this is a term, just-in-time compute, which is like as your load becomes, as your usage comes in, you can fire off requests for VMs or bare metals at other cloud providers and then get them up and running.Swyx [00:26:43]: This is if you go above 100%, right?Ivan [00:26:45]: Yeah, this is.Swyx [00:26:46]: Like your overflow.Ivan [00:26:46]: If your overflow, like spillage or whatever you do.Swyx [00:26:48]: You probably lose money on it, but it doesn't matter, right?Ivan [00:26:50]: It, not Well, you might, you might not That is a more cost-effective way to do it but it's a slower way to do it. Because basically what you have to do is you have to like queue your requests, spin up these just-in-time compute, get it all ready, provision it, and then get your workload there. And so if the time isn't important that much, that's fine, and you can do that. But if your customer, and especially for, let's say, the RL training runs, the reason why a lot of people come to us is because GPUs are more expensive than CPUs, right? So you want your GPU running at, what, 100% the entire time. And so when you're running runs on CPUs, when the when the CPU cycle is like down and spinning up the next one, you want that to be instantaneous so that your GPU doesn't go down, right? And if you then have to like go out and provision machines, you're essentially telling the GPU that it has to wait, and that's incurring our cost. So there's things that you have to try to solve for there.RL Workloads, Declarative Images, and Kubernetes ReplacementSwyx [00:27:43]: Yeah, let's talk about the different workload, right? You said that, what was it? A few months ago, you had zero RL workload and now it's 50%.Ivan [00:27:52]: It will be this one, 50%, yeah.Swyx [00:27:54]: Let's talk about how different it is, right? Like I imagine, for example, a lot less dynamic code generation of like arbitrary code. Like here, it's probably all the same code. You're just doing parallel runs or something, I don't know.Ivan [00:28:05]: Yeah. So you'll have multiple Depends on the like for each run, you'll have a snapshot. And they, for the most part, they actually do use our declarative image builder, which is like, “Oh, we, the agent wants these dependencies, these env vars.”Swyx [00:28:17]: These ones, yeah.Ivan [00:28:18]: Yeah, the declarative image builder, it.Swyx [00:28:20]: Which is a very modal like thing that they.Ivan [00:28:22]: Yeah. And so we build it on the fly and then we propagate that snapshot, and you can spin up as many sandboxes as you want against that snapshot. And then if you have to do changes, the model can, or like it could be also be automated. It's like, “Oh, now for the next run, we need to install these things or remove these things or whatever to get, a task done,” and then it goes off and runs that. So yes, that is something that it seems that they prefer. The number one reason I found, or should I say, let's take a step back. What we are competing against in that environment is essentially managed Kubernetes. So EKS, GKE, whatever. That is what the vast majority run on. And anyone that has tried Daytona versus GKE, EKS is like, “I'm never going back.” That has always been. There's a few reasons. One is the ergonomics. So if you have, if you're using Kubernetes to spin that up, you have to essentially manage the interface interactions with that. Daytona, although as a compute provider, it's more akin to a Twilio and Stripe from a consumption perspective than it is an AWS. Like you have an API, an SDK, it's quite like easy and seamless to get these things up and running, that's one. The other is the speed to which we spin up, which we mentioned earlier, which is much faster, and the scale to which we can go to. We haven't got into features, but an interesting feature is that it's very hard to OOM, or out of memory, our sandboxes, because we can dynamically on the fly.Swyx [00:29:48]: Resize.Ivan [00:29:49]: Resize, which is like impossible on almost any other thing. There are some technologies that enable you to do that, but it's like a very hard thing. And so we actually saw this when, the Terminal Revenge team is, brought us actually. So thank you, Alex and the team, that brought us into this whole space.Swyx [00:30:05]: It's just very rare that, a framework would just say, “Guys, just use Daytona.”Ivan [00:30:11]: Yeah, I think it says it somewhere. Yeah.Swyx [00:30:13]: Yeah. I was like, “What is this?”Ivan [00:30:15]: There's all, there's multiple there, but they also mention a few other places. and so Daytona specifically-We have, the, just jumping on themes here We, I don't know where it says Data Center.Swyx [00:30:27]: I, there.Ivan [00:30:27]: Doesn't matter.Swyx [00:30:28]: There's a very strong recommendation, which is, very unusual. Which is, it's.Ivan [00:30:33]: We do not pay them for this, just.Swyx [00:30:34]: I know, yeah. They just like you.Ivan [00:30:35]: Yeah, they like us. yeah, and also a thing, so, Data Center has multiple isolation sets underneath. The customer doesn't have to know what they are. But basically we have Docker, which is a container, that's hardened with Sysbox. So it's Docker's, isolation that is a security equivalent to a VM, but it's still a container. And that is the default, and they, especially in these training workloads, really like that as an interface to be able to use just a basic Docker container, and we enable Docker and Docker. Which for these RL runs, if you need to do a Docker compose or Kubernetes, you can spin up a K3S inside of these things, which unlocks a huge amount of workloads that you can do that you cannot do on other providers. So just on that part is much more interesting. And so we went that, through that. We showed them that we could do that, and they enjoyed that quite a bit. They being the general venture people.Swyx [00:31:28]: Those people, yeah.Ivan [00:31:29]: And Harbor people.Swyx [00:31:29]: Harbor people, do are they, are they a company yet?Ivan [00:31:33]: As far, I do not know.Customer Pull, Slack Connect, and the Computer Use BetSwyx [00:31:35]: Okay. All right. Yeah. It's like super obvious that like, there's a lot of excitement and success around these things, okay, so yeah, tell us more, right? Like, this is an exploding workload, Harbor adopted you, which helped speed things along. But what are you learning as this new workload comes online?Ivan [00:31:53]: There's a couple things that we learned, which we chat about in the beginning. We, and this has led our story, as we mentioned, we like talked to a lot of customers along the way, and we add more features and more tool sets as we talk to customers. And it's interesting that And I think it's that the ecosystem is so small and/or the models get smarter, where when we see one user come with a request, we know it goes on a roadmap if like three to five customers come with the same request in that week. It's like very bizarre. It happens so many times, which is.Swyx [00:32:27]: Because they're all friends.Ivan [00:32:28]: Sorry?Swyx [00:32:28]: They all, they're all friends. They're all in the same group chat.Ivan [00:32:30]: Yeah, probably, yeah. ‘Cause and they're like, “Oh, can you do this?” And I'm like, “Okay, this is interesting. We'll put it on a feature request.” And then the next one's like, “Oh, can you do this?” “Okay.” It's all the same, right? It's always the same. And so what we try to do, and I personally try to do, I try to be on as many call, quote-unquote “sales calls” I can. I'm in every Slack channel. We literally have about 1,000 Slack Connect channels, something like that. It's an interesting, there's so many interesting things you find out when you have all the Slack channels. You can also see where people, transfer between companies. You see leave Slack channel, enter Slack channel. It's an interesting thing. Also, just I digress, I feel that Slack Connect is literally LinkedIn what it should be. You have a list.Swyx [00:33:08]: LinkedIn charges you to, use your own connections, but Slack doesn't, right? Slack is like, do it for free. It's more lock-in. It's great.Ivan [00:33:15]: Yeah. It's amazing. Yeah. It's one of the reasons.Swyx [00:33:17]: You're gonna pay Slack for life.Ivan [00:33:18]: Exactly. You're there for life. So that's interesting. And so one of the things, the newer things we were talking about earlier is we made a big bet and put a lot of investment on computer use. that is not seen publicly the light of day. We haven't GA'd that yet, but we have.Swyx [00:33:32]: Is there a thing I can pull up?Ivan [00:33:33]: There is computer use there. It's right up a bit.Swyx [00:33:36]: Oh, yeah. Okay.Ivan [00:33:38]: What we have, what we talked about and what we've seen publicly is there's this theme now about, the human emulator where And Elon from XAI has talked about this publicly, and if you think about the models today, they're actually quite sophisticated and they can do a lot of work, but they still don't have access to all the tools. Like, I'm a strong believer that the most efficient way for an agent to work is essentially headless or through, terminal or whatnot. But if we, if we look at knowledge work in general, there's about 100 million knowledge workers in the US, about a billion in the world, and knowledge workers, and the salaries of them aggregate to 10 trillion in the US 50 trillion worldwide.Swyx [00:34:24]: Wow.Ivan [00:34:25]: Something like that. And if we look at, the five most important sectors of that, so like healthcare and government and financial services and whatnot, that's about 56% of that. So let's say it's about half of that. So in the US it's about 25 trillion, and most of them, most of that work is actually still locked into legacy apps inside of Windows, which is not going anywhere for a very long time. Like, people just won't invest in that. How much of it? our assumption is the following: if, in the RPA market, which is similar market, well, not the same 25% of, these white collar, workers', work is automated. If an agent is more sophisticated, can go through more runs, figure stuff out, let's say it's, 40%, right? And so if you take 40% of that, you get to essentially, $10 trillion a year.Swyx [00:35:17]: That's a TAM.Ivan [00:35:18]: That is a that is a TAM. So that's the TAM of the models, right? That's not our, essentially ours. But you get to that size, and to be able to do that, you essentially have to give agents these computers with the legacy. So computer use, either Mac or Windows or Linux. Linux we also obviously have and others have. But Windows specifically is something very new, and the only option right now is an EC2 with, Windows or on Azure. Both of them take anywhere from three to five minutes to spin up. We've created an actual sandbox, so it's a second instead of milliseconds, but you have, point in time snapshots, you have, forking, you have all the things that you have from a sandbox, but essentially enables you to hopefully unlock all this value. And so that's been our big push and bet, but we've sort of, kept our ear to the ground. What is sort of the next things in the market?RPA Returns: Why Agents Still Need ComputersSwyx [00:36:06]: Yeah, knowledge work, and building, and sort of RPA, the next wave of RPA. I got very excited about RPA kind of during COVID times. The UI path was IPO-ing. And it was, a very hot Isn't it, Eastern European?Ivan [00:36:20]: It is, Romanian.Swyx [00:36:21]: Romanian?Yeah, it might be the only Romanian, big unicorn okay, yeah. This I don't I don't, I don't have like a I think there's, I think there's a stage being set for the resurgence of RPA, ‘cause everyone understands that, yeah, no one wants to deal with these shitty apps and no one's gonna rewrite them. Like, you just have to do, a remote operation and programmatic operation of them.Ivan [00:36:45]: If you wanna unlock it, my own setup was basically the following. So I was doing a board deck recently, last month, whatever, and I'm like, “Okay, let's just, let's just do automated.” So, all our data's in, ClickHouse and PostHog and QuickBooks, where everyone else's is, and I'm basically, connected that all to, my Cloud code, like go off and go Cloud code whatever. Go off and, here's the integrations, go do that. It pulled out the first report, which was great. It connected to Brex and all these things, pulled it, which was great, and then I say, “Okay, now pull out this, and this,” and I kept getting, really well McKinsey-style design reports, but the data said partial data. all the missing data, partial data. Like, it can't access all the things, and I got so frustrated, and so I got, I got, my Mac Mini virtual sandbox with OpenClaw. I gave it its own account in our company, and then I went to all these services and created a read-only account, so literally like an intern in your company. And so I would say, “Now go and do this report,” and it would get the same, or like, “I can't via the MCP or the API or whatever. I can't get all the information.” I'm like, “Go log in.” And it will log into the website, then go in, export the data. It'll export the data and do the thing end to end. So even for things that have today APIs, not all of it is exposed, and I to get value, I get immense value right now, but it has to be a computer usage, unfortunately, and so I spend a bunch of tokens just on that, but I get the job done. And so if even a startup like ours, and using all the hottest tools, still needs a computer agent what hope does, Goldman have to have a headless, right?Swyx [00:38:22]: Yeah, what a - Why isn't Microsoft doing this?Ivan [00:38:27]: I'm pretty sure, Satya had a post yesterday.Swyx [00:38:29]: Oh, okay. I see.Ivan [00:38:29]: Which was like, “Every agent needs a computer.”Swyx [00:38:31]: I see, I see.Ivan [00:38:32]: So they have launched something recently.Swyx [00:38:34]: Yeah, they have Microsoft Power Automate, I'm sure, I'm sure, they're gonna have their version.macOS Sandboxes, Apple Constraints, and the Windows OpportunityIvan [00:38:39]: Version of that, yeah.Swyx [00:38:39]: You're gonna try to do yours, and it - I always know there's always demand for Mac, but I know it's, tricky to host, macOS sandboxes.Ivan [00:38:49]: We will have macOS sandboxes fairly soon. The problem with macOS, OS sandboxes is, I'm deep in this, I don't know how much interesting is.Swyx [00:38:55]: No, it's.Ivan [00:38:56]: MacOS has this problem.Swyx [00:38:57]: It's a licensing thing, right?Ivan [00:38:58]: Licensing thing. So one, you're allowed to run only two parallel VMs per machine, so that's one. Two, you can only license to a different user every 24 hours. So if you come in and theoretically, if I wanna charge you per second and I charge you one second, I have to have it idle for the rest of the day. I can't have anyone else doing that. So the pricing will be different in the sense that I will have to - we would have to charge for 24 hours, and that's not even, that's not even the most difficult thing. But the, thing above that is, from a security perspective, they enable you to do memory snapshot, pause, resume, but only on the same physical drive, physical machine. And so what you can do in, Windows world or Linux world is that I can move in the background, your snapshot from one to the other and manage load, right? Here, if you wanna do that, you essentially have to have your.Swyx [00:39:49]: Yeah, snapshots. Yeah.Ivan [00:39:50]: Your.Swyx [00:39:51]: It's like.Ivan [00:39:51]: Physical machine.Swyx [00:39:52]: You can't break it up.Ivan [00:39:53]: You can't, you can't move things around that, and all of that is, that part is, from a security standpoint, if it is written. Like, I understand the security aspect of that, but it disables you from doing these agentic, like really scalable agentic workloads.Swyx [00:40:08]: You need to do a vibe-coded, clean room implementation on macOS that you can then - That's like Clean OS or something. I don't know.Ivan [00:40:17]: So. We have.Swyx [00:40:18]: ‘cause like Linux was originally like a clean room rewrite of Unix.Ivan [00:40:21]: Okay. Yeah.Swyx [00:40:21]: Or something like that, right? Like same thing to macOS. Someone needs to do it.Ivan [00:40:25]: Someone will do that, and someone will have some long-running agents for a few days to figure this stuff out. But yeah. So definitely we - we're really close to offering something ‘cause people do want it, but the pricing will be different, and the feature set will be sort of stringent.Swyx [00:40:38]: Yeah, nobody's gonna use this. like, the labs, the labs will because they want to automate macOS.Ivan [00:40:42]: They have to do RL. They have to do RL again. But even if you The - So the point is with the RL part, if you, if you do RL on macOS, then the next iteration of the model comes out, it will be able to use these tools significantly. Then you actually need to run those, that somewhere. So you're gonna have to have that, later on. And from, if anyone at Apple is listening, I very much feel that they are shooting themselves in the foot of the scale of the revenue of compute or licensing they could get if they would just enable a concurrency model similar to what you can get on a Windows and a, and Linux.Swyx [00:41:17]: Yeah. Yeah. And I'm sure they've heard this before. They just don't care. Yeah, it's And maybe they will change their mind with the new CEO.Ivan [00:41:24]: Yeah. We'll see.Swyx [00:41:25]: We'll see.Ivan [00:41:25]: High hopes.Swyx [00:41:26]: High hopes.Ivan [00:41:26]: High hopes.Swyx [00:41:27]: Okay. But I, it's very clear the market opportunity is huge in Windows, and you can go for a long time on just Windows, but your customers are gonna want both. and I think, it is interesting to me that, this is the sort of God application of agents, right? Like, I don't It was - How big was OpenClaw for you guys? Like, was it, was there, a significant bump.OpenClaw, Agent Labs, and the B2B2C Sandbox MarketIvan [00:41:54]: Not for us because we.Swyx [00:41:54]: Because you already.Ivan [00:41:55]: We're kind of positioned differently. Whereas although it's completely PLG and we have individual developers that use it, most of the users that use Daytona are sort of a B2B2C. Sort of it's either B2B or B2B2C. So, in the researcher world, it's B2B, so you're selling to, labs and neo labs and things like that. But on the long-running agents, it's mostly, from a scale revenue perspective, it's mostly B2B2C, where you have a app layer agent that uses you at a big scale.Swyx [00:42:26]: Like a Manus. Yeah.Ivan [00:42:28]: Like a Manus Lovable type of thing.Swyx [00:42:31]: Yeah. I think that's the question of, well how, um-Uh, yeah, B2B to C is basically to me what I've been calling an agent lab, which is kind of like you're not in a model lab, but you're making a very good wrapper that is a platform that other people can sign up so they don't have to code those things. Yeah, it sound, it sounds like a much better market than the direct OpenClaw market.Ivan [00:42:56]: I've like - We I've done multiple things. So the CodeAnywhere's part of our career path R in the calendar, was very much an end user developer product. And so that is great. It You can get a lot of developer love, and I feel that we do as a company have a bunch of developer love. But it's a different type, where it's people building these things. Again, it's more akin to a Twilio because you don't really run - As a person, you wouldn't run Twilio. I don't know how many people remember. It was like ask your developer billboard and whatnot. And people really love Twilio, but they only used it inside of like, “Oh, I'm building this app or service for thing.” And so we're very much directly to that. And you also know that I used to work for a competitor for Twilio, so it's kind of ingrained, in my DNA.Swyx [00:43:35]: People don't know InfoBip is that big.Ivan [00:43:38]: Yeah, it's.Swyx [00:43:39]: Because.Ivan [00:43:40]: It's a billion euro.Swyx [00:43:40]: They're all American. They're like, “Whatever's in Europe doesn't matter to me.” But like it's the, it's the same size or bigger? Same size?Ivan [00:43:46]: It's about half the size.Swyx [00:43:47]: Half the size?Ivan [00:43:48]: Yeah, about half the size.Swyx [00:43:48]: It's like, yeah.Ivan [00:43:48]: Still huge. Multiple billions a year. Yes.Swyx [00:43:51]: That's crazy.Ivan [00:43:51]: Exactly, and so that - These are like really interesting and large revenue-generating, very sticky businesses. Whereas when you're selling to the - When your focus is the end developer, it is a very hard sell because they're very price sensitive, very price conscious, very around that. And there's very It's very hard to scale. Your cap is the number of people that are willing to spin up - First of all, wanna spin that up, and then spin up multiple of these. Whereas if you're in the enterprise one, like we know everyone's talking about like how many tokens they're spending, I'm spending. Like a lot of companies today are like, “If this is our company, spend as much as you can.” Like basically that is where we're going. And so if you think about that paradigm, where you're selling to companies that say, “Spend as much as you can to generate, productivity,” versus, “Oh, I'm a single person. I have this much budget, and I'm doing this thing because it's fun or it's helping me out or whatever.” Like it is a different, it's a different go-to-market, I think, strategy.MCP, CLIs, and Sandboxes as the Agent RuntimeSwyx [00:44:50]: Yeah, there's a lot of discussion. I'm just kind of going through like the mental list of things that are in your favor, which is, for example, MCP versus CLI. Like obviously you want CLI. It's been very good for you. I feel like it's maybe a drop in the bucket or maybe it's huge. I'm just checking whether it's like these are big trends.Ivan [00:45:10]: Those things you - work well in our favor, to your point just because every.Swyx [00:45:13]: They're kind of drop in the bucket, right?Ivan [00:45:15]: I think it's like sort of all the things come together. And so there's so many things that impact that. To your point, like OpenClaw wasn't huge for us, but like having the agent SDK, from Anthropic, so or Cloud Claude Code was very interesting. The reason why it was interesting is that a lot of, let's call them app I don't know what to call them, app layer agent companies, essentially they are like, “Oh, I can create this new app, this new agent. All I need, I just use Claude Code, and I throw it into a sandbox, and then I have my interface to the human to that.” And so that enabled so many more companies to actually offer this, and then they would pull on sandbox. So that was, that was interesting. And to your point, like MCP, versus the CLI, the MCP is an interface against an API, whereas the CLI is like you can actually go do things. Like this is it. The difference between integrations and actually running scripts or data or analysis against a thing. So being able to use a CLI very well enables the agent to do more things, and it's because that people will invoke a sandbox, they'll run it in the CLI, and but it'll do anal-analysis on that data and then give you an actual result versus just, pulling data from an API source.Swyx [00:46:29]: Yeah, it's a layer of indirection basically, it's the same thing as agentic search versus RAG, which where you're.Ivan [00:46:34]: Exactly, yeah.Swyx [00:46:34]: Just like you just win whenever people put more agents into their workflow. And so like it doesn't really matter, but I'm just kinda teasing out like what else have people heard about that like it's sort of, “Oh yeah, this is another sandbox use case. Oh yeah, that's another one.” Am I, am I missing any big ones?Ivan [00:46:51]: The thing, the thing that people, which is the computer use stuff, which I think is probably the most interesting one, is, and to your point, we've talked to so many people over the last year. It's like, “Oh, like why do you need a sandbox? Why do you need this? Why this?” And to your point, it's like, “Oh, I need sandbox for this. I need sandbox for that. I need sandbox-” It's like, “Oh, I need it for every single thing.” And so basically what I, what I - and it sounds like a broken record, it's like you use a laptop every single day, right? And you are n of one. It's just you. But now imagine how And by the way, the laptop, the computer PC market, the PC market is about equal to the cloud market in total. So it's about 150, 180 billion a year. Something like that. It's about roughly the three cloud hyperscalers is about equal to like Apple, HP, Lenovo, whatever, It's a little bit less, but it's sort of like that. And now imagine And that's just like, so how big is the addressable market? What, how many people are there in the world now? What's the last data?Swyx [00:47:45]: Let's call it eight billion.Ivan [00:47:46]: Eight billion. And so let's say you can have two computer, like you have one personal and one business, whatever. Like so it's double that, right? and so that's 16 billion, right? How many agents are gonna be running in two years, in 10 years, in 100 years? Like And for every single task, they will need one of these. And so how big is that? That market is essentially quote unquote “infinite”. You will get to the point, and Dylan Patel was at the conference talking about, from SemiAnalysis, that talks usually about GPUs, was also talking about how CPUs will now be a bottleneck because it will be the constraint. You won't be able to grow, or we won't be able to have enough of these because there won't be enough CPUs to basically do.Swyx [00:48:23]: Yeah. Well, I actually had a really good podcast with Doug Oliphant, who, which was his president at SemiAnalysis, where they've basically been like, yeah, it's been a GPU shortage first, but then it's cascaded down to memory and now to CPUs.Ivan [00:48:35]: CPU, yeah.Swyx [00:48:35]: It-What's next? So networking. So, networking actually has been in shortage for a while if you're looking at, just GPU networking. But, yeah, it's really crazy the amount of computer use that's going on, yeah, cool. I, other questions are, just the one very big part is the open sourceness which you didn't have to do, your competitors don't do, like it's not, a lot of people are worried about keeping their projects open source because some competitor can just slot fork it. I don't know if there's any reflections on just being an open source company.Open Source, Trust, and Enterprise ProcurementIvan [00:49:15]: Yeah. There's a bunch. So we the original product that we did was open source.Swyx [00:49:19]: Yeah. CodeAnywhere.Ivan [00:49:20]: So doing that was actually very good for us. There's basically a saying of, What's the saying? Like, companies that are, that are doing really well, measure themselves against, free cashflow, that are kinda okay, it's EBITDA, then, it's, it goes all the way down.Swyx [00:49:36]: The worst is like GitHub stars.Ivan [00:49:37]: GitHub stars. GitHub stars are the worst, yeah. So you go all the way down to GitHub stars. And so our original one was GitHub stars. That's what we talked about, we're at the point we're talking about revenue, so we're we've gone up the stack on that. And so we started.Swyx [00:49:47]: No, profit.Ivan [00:49:48]: Yeah. We haven't, we're, we'll get there. We'll get there. But basically at that point we did stars and GitHub and it was useful, and the original variation that we did, it we split the core into its own repo and it was Apache 2.0, so very, permissive. And then we basically would bundl

It's Thursday, and that means it's time to catch up on politics with The Times-Picayune/New Orleans Advocate's editorial director and columnist Stephanie Grace. Today, we discuss the homestretch of the Republican Senate primary race, and the rumor that former New Orleans Mayor Mitch Landrieu is considering a run for president. The Louisiana Legislature has been working on bills that would resize New Orleans courts. While Republicans say the goal is to have the courts more accurately reflect judicial districts across the state and combine the criminal and civil courts, Democrats argue that this process is too rushed.Earlier this week, we spoke with Jack Brook at the Associated Press to hear about the potential impacts should these bills pass. Today, we'll break down the fine print in the legislation. The Bureau of Governmental Research President and CEO, Rebecca Mowbray, and lead researcher, Paul Rioux, walk us through their examinations. One year ago this month, the Trump administration canceled more than 85% of the National Endowment for the Humanities' existing grants. That meant the Louisiana Endowment for the Humanities lost over $600,000 overnight.We check in with the executive director of the Louisiana Endowment for the Humanities, Miranda Restovic, to find out how LEH has weathered the losses and how the cuts have affected the upcoming America 250 celebration in the state.  —Today's episode of Louisiana Considered was hosted by Alana Schreiber. Our managing producer is Alana Schreiber. We get production and technical support from Garrett Pittman, Adam Vos and our assistant producer, Aubry Procell.You can listen to Louisiana Considered Monday through Friday at noon and 7 p.m. It's available on Spotify, Google Play and wherever you get your podcasts. Louisiana Considered wants to hear from you! Please fill out our pitch line to let us know what kinds of story ideas you have for our show. And while you're at it, fill out our listener survey! We want to keep bringing you the kinds of conversations you'd like to listen to.Louisiana Considered is made possible with support from our listeners. Thank you!

Разбираем громкую историю с OpenClaw (ex-ClawdBot): как переименование репозитория стоило комьюнити $16 млн и при чем тут Anthropic. А также детально обсуждаем фичи Kubernetes 1.35, которые мы ждали 6 лет, и новости экосистемы AWS. О ЧЁМ ВЫПУСК - OpenClaw (ex-MoltBot/ClawdBot): Хронология взлёта до 100k+ звёзд, конфликт с Anthropic и атака криптомошенников. - AI-безопасность: Почему Prompt Injection в 2026 году — это доступ к вашим банковским счетам и умному дому. - Kubernetes 1.35: Разбираем главные фичи — изменение CPU/RAM без рестарта (In-place Update), новый формат KAML и улучшения Downward API. - AWS & Cloud: Новые EKS Capabilities, Managed ArgoCD, ACK и DevOps Agent. - Локальные LLM: Запуск Cloud Code с Ollama — конец вендор-лока? ССЫЛКИ

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View this video at https://macmost.com/how-to-convert-and-resize-images-on-your-iphone.html. If you need to resize a photo or graphic on your iPhone, or export it into a different format or compression amount, you can now do so with the Preview app in iOS 26. In fact you can resize, crop, markup, compress and save out a file from Photos, an existing image file, or even from other apps or screenshots.

The weight-loss drug boom is reshaping fashion, AI-powered nursing robots could help tackle the global health care crisis, and we uncover the secret ingredient behind a suburban Jewish-style deli beloved in the western suburbs...

2025 RISING YT DOCSearch for tools, help, and more (Option + Q)BSFileHomeInsertSharePage LayoutFormulasDataReviewViewAutomateHelpDraw PS TEMPLATE - COPY, DO NOT EDI (5) JAN 1-JAN 3 JAN 6-JAN 10 Jan 13 - Jan 17 Jan 20- Jan 24 JAN 27- JAN 31 Feb 3- Feb 7 Feb 10- Feb 14 FEB 17-FEB 21 FEB 24- FEB 28 Mar 3- Mar 7 Mar 10- Mar 14 Mar 17- Mar 21 Sheet4 Mar 24- Mar 28 MAR 31- APR 4 April 7-12 April 14-18 APRIL 21-25 Apr 28-Apr 2 MAY 5-MAY 9 MAY 12-16 MAY 19-23 May 26-30 June 2-6 June 9-13 June 16 - 20 JUNE 23-27 June 30 - July 4 July 7-July 11 July 14- July 18 JULY 21- JULY 25 July 28 - Aug 1 Aug 4 - Aug 8 TEMPLATE - COPY, DO NOT EDI (3) CommentsCatch upEditingShare: this file is sharedThere is nothing to redo.UndoPasteClipboardFontWrap TextMerge & CenterAlignmentNumberConditionalFormattingFormat AsTableCellStylesStylesInsertDeleteFormatCellsSort &FilterFind &SelectEditingSensitivitySensitivityAdd-insAdd-insRobby Soave delivers radar on Brown University reaching a deal of $50 million with the Trump administration. The DOJ announces a grand jury investigation into Obama-era officials. Rep. Nancy Mace (R-S.C.) enters the governor's race in South Carolina. Sen. Elizabeth Warren (D-Mass.) clashed with a CNBC host over Zohran Mamdani. Stephen Colbert scores acting gig on CBS series, Elsbeth." Former ABC's Terry Moran makes telling admission. All this and more. #rising Robby Soave delivers radar on Brown University reaching a deal of $50 million with the Trump administration. The DOJ announces a grand jury investigation into Obama-era officials. Rep. Nancy Mace (R-S.C.) enters the governor's race in South Carolina. Sen. Elizabeth Warren (D-Mass.) clashed with a CNBC host over Zohran Mamdani. Stephen Colbert scores acting gig on CBS series, Elsbeth." Former ABC's Terry Moran makes telling admission. All this and more. #rising Resize mode exitedWorkbook StatisticsWorkbook StatisticsCustomize Status BarKeyboard ShortcutsHelp ResourcesHelp Improve OfficeZoom OutZoom In Learn more about your ad choices. Visit megaphone.fm/adchoices

Memes aren't just for Gen Z or internet junkies—they're a real-deal marketing tool, and Jay Schwedelson teams up with Daniel Murray to break down exactly why. From condiment debates to viral ad strategies, they get into how memes can signal audience empathy, drive shares, and even outperform traditional ad formats. If you've ever wondered whether your “serious” brand could pull one off—yep, you probably can.ㅤBest Moments:(02:05) Jay's traumatic first Florida burger with surprise mustard and ketchup(03:00) Daniel explains why memes are the language of the internet(03:45) How to safely create memes without copyright issues or creative risk(04:20) Memes as powerful ad formats that prove you understand your audience(05:26) Why you shouldn't keep using the same carousel over and over(07:15) Jay's trick for finding viral meme formats to recaption for your niche(08:30) How platforms punish watermarked or reposted content(09:05) Want to reuse a hit meme? Resize it first or risk getting throttled(09:57) Daniel's hot take: skip Taco Bell, hit the local burrito jointㅤFollow Daniel on The Marketing Millennials and let him know what you want future bathroom breaks to cover.ㅤCheck out our 100% FREE + VIRTUAL EVENTS! ->Guru Conference - The World's Largest Virtual EMAIL MARKETING Conference - Nov 6-7!Register here: www.GuruConference.comㅤCheck out Jay's YOUTUBE Channel: https://www.youtube.com/@schwedelsonCheck out Jay's TIKTOK: https://www.tiktok.com/@schwedelsonCheck Out Jay's INSTAGRAM: https://www.instagram.com/jayschwedelson/ㅤMASSIVE thank you to our Sponsor, Marigold!!Email chaos across campuses, branches, or chapters? Emma by Marigold lets HQ keep control while local teams send on-brand, on-time messages with ease.Podcast & GURU listeners: 50 % off your first 3 months with an annual plan (new customers, 10 k-contact minimum, terms apply).Claim your offer now at jayschwedelson.com/emma

Brand name searches are one of the strongest trust signals Google looks for in 2025—and most local businesses aren't doing nearly enough to earn them. In this episode, we show you exactly why branded search traffic matters more than ever and how to get way more people searching for you by name. No fluff, no SEO jargon—just real, actionable strategies you can use right now to turn your business into a local favorite.You'll learn:Why Google rewards businesses that get searched by nameWhat branded searches signal to both algorithms and potential customersHow to use podcasts, video, and community events to drive branded visibilityWhat not to do (hint: skip the hard-selling ads and focus on value)Want to stop blending in and start being the business people remember? This episode gives you the blueprint.Resources Mentioned in This Episode:SubmagicCaptions.aiOpus ClipCommon Features Across These Tools:Auto Subtitles with speaker detectionAnimated Captions (MrBeast-style, colored, zoom effects)Resize for TikTok, Reels, ShortsEmojis, motion text, and brand elementsAI Clip Selection from longer videosAbout Adam Duran, Local SEO Expert⁠⁠⁠⁠⁠⁠⁠⁠⁠Local SEO in 10⁠⁠⁠⁠⁠⁠⁠⁠⁠ is helmed by Local SEO expert Adam Duran, director of Magnified Media. With offices in San Francisco, ⁠⁠⁠⁠⁠⁠⁠⁠⁠Los Angeles⁠⁠⁠⁠⁠⁠⁠⁠⁠ & Walnut Creek, California, Magnified Media is a ⁠⁠⁠⁠⁠⁠⁠⁠⁠digital marketing agency⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ focused on ⁠⁠⁠⁠⁠⁠⁠⁠⁠local SEO for businesses⁠⁠⁠⁠⁠⁠⁠⁠⁠, internet marketing, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠national SEO⁠⁠⁠⁠⁠⁠⁠⁠⁠, website design ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠and qualified customer lead generation for companies of all sizes.Magnified Media helps companies take control of their marketing by:• getting their website seen at the top of Google rankings,• getting them more online reviews, and• creating media content that immediately engages with their audience.Adam enjoys volunteering with several community-based non-profits, hiking and BJJ in his spare time.About Jamie Duran, host of Local SEO in 10Local business owner Jamie Duran is the owner of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Solar Harmonics⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Northern California⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠'s top-rated solar company, which invites its customers to “Own Their Energy” by purchasing a solar panel system for their home, business, or farm.  You can check out the website for the⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ top solar energy equipment installer⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Solar Harmonics, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Jamie also is the creator and panel expert of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Straight-Talk Solar Cast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, the world's first podcast focused on answering the questions faced by anyone considering going solar.Thanks for joining us this week! Want to subscribe to Local SEO in 10? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us on iTunes and leave us a review.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Have a question about Local SEO? Chances are we've covered it! Go to our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast website and check out our search feature⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

View this video at https://macmost.com/crop-resize-and-compress-images-with-pixelmator-pro.html. If you need to crop an image down to specific dimensions, change it to another file type, or compress it to be under a certain size, you can do that all with Pixelmator Pro relatively easily.

Send me a message here with feedback or topics you'd like to see covered on upcoming episodes! Or just say hello!Sharpening is a topic that invokes debate in the photography community, with every photographer having differing opinions about the importance of sharpness and how to sharpen your images. If you're wondering about how to sharpen your photos, if sharpening is even essential, and how you should sharpen depending on your export destination, this episode is going to help you understand it all.Links from this episode:How to Find the Sharpest ApertureWhy I Shoot at f/5.6High Pass Sharpening in PhotoshopHow to Prepare and Resize for PrintThe Best Way to Fix Blurry PhotosIf you're serious about becoming better at photography, the fastest way to do so is by joining me for an in-person workshop. Check my current workshop listings here.Find FREE photography tutorials on my YouTube channel.10 Landscape Photography Tips in 10 Minutes - FREE Video

What are you measuring yourself up against? Sadly, for years, I was measuring myself up against so many other people. That's why my life and path looked like a dang heart rate monitor. Up here, down there, over there, back down, back up. It's dizzying just thinking about it.  The shift happened when I started measuring myself up against a version of myself that I wanted to be. Shortly after, my path got clearer and straighter. And **my** version of success started becoming a reality. I'm not the only one this happened to. Former NFL Linebacker, Bryan Schwartz, has a similar story that will open your eyes wide, and he's my Guest on this week's episode of the Coming Up Clutch with J.R.™ show.  If you want a clearer and straighter path to your desired future, then lock in to this week's episode! In this episode, you'll hear: What to do when you're feeling like your contribution in life is not big enough. How to continue to move forward from the condemnation that comes with past failures and mistakes.  The recurring problem that Bryan sees with high capacity people. Importance of maintaining an open mindset to seize unexpected opportunities. Examining the negative effects of comparison and pressure. Importance of seeking help and embracing grace and acceptance in personal development. Key Quotes “The best coaches in the world can see things in you that you can't see yourself.” - Bryan Schwartz “The enemy of your soul doesn't bring up accusations that aren't true. He's always bringing up things that are true.” - Bryan Schwartz “Reframe your failures through the light of God's goodness. It's the difference between trying to get forgiven and living FROM forgiven.” - Bryan Schwartz “You think differently when you know you've already won.” - Bryan Schwartz “Forget what you don't have. Go all in with what you do have.” - Bryan Schwartz Connect with Bryan  Twitter: @BryanSchwartz58 | https://twitter.com/BryanSchwartz58 Instagram: @blschwartz | https://www.instagram.com/blschwartz/ LinkedIn: /in/bryanschwartz58 | https://www.linkedin.com/in/bryanschwartz58/ Website: https://www.bryanlschwartz.com/ Connect with J.R.  Facebook: https://www.facebook.com/jamesJRreid  Instagram: https://www.instagram.com/jamesjrreid/  LinkedIn: https://www.linkedin.com/in/jamesjrreid/  Twitter: https://twitter.com/jamesJRreid Website: jamesreid.com Check out The Clutch Club™️: jamesreid.com/club (For Men Only) Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select “Ratings and Reviews” and “Write a Review” then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast. Episode Credits If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com. Let them know we sent you.

Jon and Ben discuss the highlights of the 1.76, 1.77, and 1.78 releases of Rust. This episode was recorded as part of a YouTube live stream on 2024-05-18, which you can still watch. Contributing to Rustacean Station Rustacean Station is a community project; get in touch with us if you'd like to suggest an idea for an episode or offer your services as a host or audio editor! Twitter: @rustaceanfm Discord: Rustacean Station Github: @rustacean-station Email: hello@rustacean-station.org Timestamps & referenced resources [@00:34] - Rust 1.76 [@01:18] - ABI compatibility updates The updated ABI section An interesting article on ABIs in Swift vs Rust [@08:53] - Type names from references type_name type_name_of_val [@10:35] - Stabilized APIs [@10:56] - Result::inspect [@13:53] - Arc::unwrap_or_clone [@15:25] - std::hash::DefaultHasher [@18:01] - ptr::addr_eq [@21:30] - Changelog deep-dive [@21:33] - Resize/hide rustdoc bars [@22:40] - Rust 1.77 [@22:51] - C-string literals std::ffi::CStr [@28:20] - Support for recursion in async fn [@31:43] - offset_of! [@36:32] - Enable strip in release profiles by default [@39:35] - Stabilized APIs [@39:36] - core::net [@40:59] - f64::round_ties_even [@42:05] - Mutex::clear_poison [@43:43] - File::create_new OpenOptions [@46:15] - Changelog deep-dive [@46:46] - Lint on references to static mut SyncUnsafeCell [@50:05] - Undeprecate unstable_features lint [@51:37] - Deny braced macro invocation in let-else Details from dtolnay comment [@55:45] - cargo:: in build scripts [@56:20] - Standardized package ID spec in Cargo [@57:36] - slice::first_chunk [@59:55] - Rust 1.77.1 Stripping debug info in release builds broke Windows. [@1:00:58] - Rust 1.77.2 Fixes CVE-2024-24576. Detailed advisory, fix, and current logic. [@1:04:54] - Rust 1.78 [@1:07:55] - Diagnostic attributes #[diagnostic] documentation [@1:13:13] - Asserting unsafe preconditions Implementation PR [@1:19:56] - Deterministic realignment [@1:23:24] - Stabilized APIs [@1:23:33] - impl Read for &Stdin [@1:24:03] - Relax bounds on Error trait implementations [@1:25:40] - Compatibility notes [@1:25:40] - Windows requirement bump Replace pthread RwLock Slim reader/writer locks [@1:29:25] - LLVM 18 brings *128 ABI change [@1:32:04] - Changelog deep-dive [@1:32:04] - Make non-PartialEq-typed consts as patterns a hard error [@1:34:59] - Suggest moving definition if non-found macro_rules! is defined later [@1:36:08] - Stabilize v4 of Cargo lockfile [@1:37:36] - cargo update highlights stale dependencies [@1:38:23] - Deprecate non-extension .cargo/config files [@1:39:19] - Clippy lint assigning_clones [@1:40:49] - Clippy lint incompatible_msrv [@1:42:22] - cargo new stopped commenting in Cargo.toml Credits Intro Theme: Aerocity Audio Editing: Aerocity Hosting Infrastructure: Jon Gjengset Show Notes: Jon Gjengset Hosts: Jon Gjengset and Ben Striegel

Got a Minute? Checkout today's episode of Practical Digital Strategies podcast - the Google Doc for this episode is @ How I use CANVA to resize images for podcast thumbnails ----more---- I help goal oriented business owners that run established companies to leverage the power of the internet Contact Guy R Cook @ https://guyrcook.com In the meantime, go ahead follow me on X: @guyrcookreport Click to Tweet Contact Guy R Cook Follow Practical Digital Strategies on Podbean iPhone and Android App | Podbean   https://bit.ly/3m6TJDV Thanks for listening, viewing or reading the show notes for this episode. This episode of Practical Digital Strategies is on YouTube too @ This episode of Practical Digital Strategies Have a great new year, and hopefully your efforts to Entertain, Educate, Convince or Inspire are in play vDomainHosting, Inc 3110 S Neel Place Kennewick, WA 509-200-1429 #practicaldigitalstrategies

Jake and Michael discuss all the latest Laravel releases, tutorials, and happenings in the community.This episode is sponsored by Honeybadger - move fast and fix things with application monitoring that helps developers get it done.Show linksNew String Helpers and ServeCommand Improvements in Laravel 11.14 Generics Added to Eloquent Builder in Laravel 11.15 A resize plugin for Alpine.jsWhat's new in Tinkerwell 4?PHP 8.4 Alpha 1 is now out! Manage Roles and Permissions in Filament with Hex Lite Laravel Rest Api now supports Laravel Scout Laravel Error Solutions on the Default Exception Page Build Custom Admin Panels With Backpack for Laravel How to Migrate MySQL from DBngin to Laravel Herd Learn to master Query Scopes in Laravel How to Redirect Uppercase URLs to Lowercase with Laravel Middleware 

In this episode, Paul seems to be sitting in a familiar room! Could this be a sign that a game-changing enhancement to Notepad is rolling out? That's not all, as OneDrive seems to be undergoing some behavioral changes in a positive direction. After 3 weeks since the Copilot+ PC launch (2 weeks since Paul got his 1st model), the future of Intel and x86 may not be as dire as some think. Plus, Affinity announced that its award-winning Photo, Designer, and Publisher apps are now free for 6 months with no obligation to buy! The Morning After The end of Intel and the x86 era? You guys are cute Comparing the HP, Lenovo, and Microsoft entries: A few differentiators, but these things are very, very similar. There's a reason why IDC throws cold water on the AI PC/Copilot+ PC parade We still need official Windows 11 on Arm ISOs, Microsoft. Until then, there are workarounds. Windows 11 GAME CHANGER: Notepad FINALLY supports spell-checking and auto-correct! ACTUAL GAME CHANGER: Microsoft is apparently stepping back some of the OneDrive terribleness in Windows 11 version 24H2 Patch Tuesday: BIG deal for Windows 11 22H2, 23H2 with 24H2 features Nothing to speak of for 24H2, as predicted - just security updates It's nice when things happen as expected for a change Canary: Lock screen widget changes Paul put the Windows 11 Field Guide on a diet - and then the other books too PDF went from 377 MB to 107 MB, EPUB went from 344 MB to just 86 MB (!) Similar gains for Windows Everywhere, Windows 10 Field Guide Updated the Win10 add-in that comes with the Windows 11 Field Guide too Surface Surface Laptop 7 and Pro 11 get second firmware updates AI The OpenAI drama consumes Microsoft Opera brings Aria AI features to its GX gaming browser too Xbox Xbox Game Pass Ultimate gets a price hike Xbox Cloud Gaming is now available on newer Fire TV Sticks. Also, free Fortnite! Tips and Tricks Tip of the week: Get all three Affinity apps on all three platforms for free for six months! App pick of the week: Firefox 128 and Vivaldi 6.8 RunAs Radio this week: The Hardware of Azure with Rani Borkar Brown liquor pick of the week: Raasay Single Malt Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Guest: Mary Jo Foley Download or subscribe to this show at https://twit.tv/shows/windows-weekly Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Sponsors: bigid.com/windowsweekly 1password.com/windowsweekly

In this episode, Paul seems to be sitting in a familiar room! Could this be a sign that a game-changing enhancement to Notepad is rolling out? That's not all, as OneDrive seems to be undergoing some behavioral changes in a positive direction. After 3 weeks since the Copilot+ PC launch (2 weeks since Paul got his 1st model), the future of Intel and x86 may not be as dire as some think. Plus, Affinity announced that its award-winning Photo, Designer, and Publisher apps are now free for 6 months with no obligation to buy! The Morning After The end of Intel and the x86 era? You guys are cute Comparing the HP, Lenovo, and Microsoft entries: A few differentiators, but these things are very, very similar. There's a reason why IDC throws cold water on the AI PC/Copilot+ PC parade We still need official Windows 11 on Arm ISOs, Microsoft. Until then, there are workarounds. Windows 11 GAME CHANGER: Notepad FINALLY supports spell-checking and auto-correct! ACTUAL GAME CHANGER: Microsoft is apparently stepping back some of the OneDrive terribleness in Windows 11 version 24H2 Patch Tuesday: BIG deal for Windows 11 22H2, 23H2 with 24H2 features Nothing to speak of for 24H2, as predicted - just security updates It's nice when things happen as expected for a change Canary: Lock screen widget changes Paul put the Windows 11 Field Guide on a diet - and then the other books too PDF went from 377 MB to 107 MB, EPUB went from 344 MB to just 86 MB (!) Similar gains for Windows Everywhere, Windows 10 Field Guide Updated the Win10 add-in that comes with the Windows 11 Field Guide too Surface Surface Laptop 7 and Pro 11 get second firmware updates AI The OpenAI drama consumes Microsoft Opera brings Aria AI features to its GX gaming browser too Xbox Xbox Game Pass Ultimate gets a price hike Xbox Cloud Gaming is now available on newer Fire TV Sticks. Also, free Fortnite! Tips and Tricks Tip of the week: Get all three Affinity apps on all three platforms for free for six months! App pick of the week: Firefox 128 and Vivaldi 6.8 RunAs Radio this week: The Hardware of Azure with Rani Borkar Brown liquor pick of the week: Raasay Single Malt Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Guest: Mary Jo Foley Download or subscribe to this show at https://twit.tv/shows/windows-weekly Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Sponsors: bigid.com/windowsweekly 1password.com/windowsweekly

Stacey explores the power of pairing written explanations with oral directions to enhance understanding in the context of writing workshop. She provides an overview of Driveway, a Chrome Extension that allows educators to create step-by-step process guides with written descriptions, highlighted screenshots, and optional voiceovers. Learn how to create interactive walkthroughs to help students become more independent with the technology they use in writing workshop. Here are some videos of Stacey's sample guides created with Driveway (and then exported to YouTube):How to Create a Cover Page in Google DocsHow to Find and Download Stock Photos from PexelsHow to Generate Citations Using Cite This For MeHow to Resize and Wrap Images in Google DocsHow to Use the Merriam-Webster Thesaurus for Finding Relevant Synonyms*****Thanks to our affiliate!Zencastr: Use our special link (https://zen.ai/mqsr2kHXSP2YaA1nAh2EpHl-bWR9QNvFyAQlDC3CiEk) to save 30% off your first month of any Zencastr paid plan. *****Please subscribe to our podcast and leave us ratings/reviews on your favorite listening platform.You may contact us directly if you want us to consult with your school district. Melanie Meehan: meehanmelanie@gmail.com Stacey Shubitz: stacey@staceyshubitz.com Email us at contact@twowritingteachers.org for affiliate or sponsorship opportunities.For more about teaching writing, head to the Two Writing Teachers blog.

What are you measuring yourself up against? Sadly, for years, I was measuring myself up against so many other people. That's why my life and path looked like a dang heart rate monitor. Up here, down there, over there, back down, back up. It's dizzying just thinking about it.  The shift happened when I started measuring myself up against a version of myself that I wanted to be. Shortly after, my path got clearer and straighter. And **my** version of success started becoming a reality. I'm not the only one this happened to. Former NFL Linebacker, Bryan Schwartz, has a similar story that will open your eyes wide, and he's my Guest on this week's episode of the Coming Up Clutch with J.R.™ show.  If you want a clearer and straighter path to your desired future, then lock in to this week's episode!   In this episode, you'll hear: What to do when you're feeling like your contribution in life is not big enough. How to continue to move forward from the condemnation that comes with past failures and mistakes.  The recurring problem that Bryan sees with high capacity people. Importance of maintaining an open mindset to seize unexpected opportunities. Examining the negative effects of comparison and pressure. Importance of seeking help and embracing grace and acceptance in personal development.   Key Quotes “The best coaches in the world can see things in you that you can't see yourself.” - Bryan Schwartz “The enemy of your soul doesn't bring up accusations that aren't true. He's always bringing up things that are true.” - Bryan Schwartz “Reframe your failures through the light of God's goodness. It's the difference between trying to get forgiven and living FROM forgiven.” - Bryan Schwartz “You think differently when you know you've already won.” - Bryan Schwartz “Forget what you don't have. Go all in with what you do have.” - Bryan Schwartz   Connect with Bryan  Twitter: @BryanSchwartz58 | https://twitter.com/BryanSchwartz58 Instagram: @blschwartz | https://www.instagram.com/blschwartz/ LinkedIn: /in/bryanschwartz58 | https://www.linkedin.com/in/bryanschwartz58/ Website: https://www.bryanlschwartz.com/   Connect with J.R.  Facebook: https://www.facebook.com/jamesJRreid  Instagram: https://www.instagram.com/jamesjrreid/  LinkedIn: https://www.linkedin.com/in/jamesjrreid/  Twitter: https://twitter.com/jamesJRreid Website: jamesreid.com Check out The Clutch Club™️: jamesreid.com/club (For Men Only)   Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select “Ratings and Reviews” and “Write a Review” then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast.   Episode Credits If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com. Let them know we sent you.

Applications to the Leaders Plus Fellowship close on 29 October. Download Application Pack.“I can honestly say I've been more successful on 4 days a week than 5 days a week.”It's a pleasure to welcome back Dominic Holmes to the podcast. Dominic is a Partner at the law firm Mischon De Reya and has successfully resized his client facing role from 5 days a week to 4 days.He shares:How he successfully reduced his workloadWhy delegating is crucialHow to set firm boundaries with your time Why he's been more successful since reducing his working hours We hope you enjoy the conversation.Show Notes:Connect with Dom on LinkedIn.Listen to episode 33, Dominic's previous episode of Big Careers, Small Children.

Resize main navigation   25 Years of ITEC     Episode Description Sign up to receive podcast:  People Group Summary: https://joshuaproject.net/people_groups/17204 #AThirdofUs                    https://athirdofus.com/ Listen to "A Third of Us" podcast with Greg Kelley, produced by the Alliance for the Unreached: https://alliancefortheunreached.org/podcast/ ·        JoshuaProject.net/frontier#podcast provides links to podcast recordings of the prayer guide for the 31 largest FPGs. ·        Go31.org/FREE provides the printed prayer guide for the largest 31 FPGs along with resources to support those wanting to enlist others in prayer for FPGs. ·        Indigitous.us/home/frontier-peoples has published a beautiful print/PDF introducti ·        on to FPGs for children, supported by a dramatized podcast editio

The Complete Guide On Resizing Images Without Compromising Their Quality In Wordpress: https://itayverchik.com/resize-images/ In This Guide, I Show You How To Resizing Images And Speed Up A Site Without Compromising Their Resolution. Join now the community of Webmasters and SEO Marketers completely free: https://www.facebook.com/groups/itayverchik To purchase Elementor Pro, the world's best WordPress page designer: https://trk.elementor.com/2500 --- Send in a voice message: https://podcasters.spotify.com/pod/show/itay-verchik/message

Resize main navigation   [A PRAYING CHURCH     Episode Description Sign up to receive podcast:  People Group Summary: https://joshuaproject.net/people_groups/22350/IN #AThirdofUs                    https://athirdofus.com/ Listen to "A Third of Us" podcast with Greg Kelley, produced by the Alliance for the Unreached: https://alliancefortheunreached.org/podcast/ ·        JoshuaProject.net/frontier#podcast provides links to podcast recordings of the prayer guide for the 31 largest FPGs. ·        Go31.org/FREE provides the printed prayer guide for the largest 31 FPGs along with resources to support those wanting to enlist others in prayer for FPGs. ·        Indigitous.us/home/frontier-peoples has published a beautiful print/PDF introducti ·        on to FPGs for children, supported by a dramatized podcast editio

Resize main navigation         Episode Description Sign up to receive podcast:  People Group Summary: https://joshuaproject.net/people_groups/15482 #AThirdofUs                    https://athirdofus.com/ Listen to "A Third of Us" podcast with Greg Kelley, produced by the Alliance for the Unreached: https://alliancefortheunreached.org/podcast/ ·        JoshuaProject.net/frontier#podcast provides links to podcast recordings of the prayer guide for the 31 largest FPGs. ·        Go31.org/FREE provides the printed prayer guide for the largest 31 FPGs along with resources to support those wanting to enlist others in prayer for FPGs. ·        Indigitous.us/home/frontier-peoples has published a beautiful print/PDF introducti ·        on to FPGs for children, supported by a dramatized podcast edition. Show less See all episodes    

The struggle you're in today is developing the strength you need for tomorrow. - Robert Tew In a world of abundance, we take many things for granted. Our morning coffee is one such example. A morning brew helps many of us win the battle to wake up by winning a neurochemical war. However, there is another battle that takes place using chemical warfare. The battlefield? The dense, green foliage of the coffee plantation. Align to the left Align in the middle Resize to full width Align to the right Add a link to the embedded image Add alt text Delete image No alt text provided for this image Created using AI Like any crop, coffee plants are subject to attack by pests. Many plants and trees have developed fascinating defence mechanisms to protect themselves against such attacks. (Like the stinging nettle to the human touch) When insects nibble on the foliage of coffee plants, they release defence compounds. One of the defence mechanisms of coffee plants is the production of caffeine. Caffeine acts as a natural insecticide, deterring and even poisoning certain insects that attempt to feed on the plant. The caffeine content in coffee leaves and beans is toxic to many insects, making them less attractive to pests and reducing the likelihood of severe infestations. In addition to caffeine, coffee plants release an acid called chlorogenic acid. This acid acts as a natural fungicide and insecticide for the plant. When we drink our cup of coffee, we also drink these compounds. Chlorogenic acid is a powerful antioxidant and helps with weight loss, blood sugar control, and heart disease prevention. However, while protecting coffee plants with pesticides and insecticides might seem beneficial, this prevents the release of chlorogenic acid. Without insect attacks, the plant does not undergo stress or produce beneficial acids. Hormesis is a process whereby a beneficial effect (improved health, stress tolerance, growth or longevity) results from exposure to low doses of a toxin or stressor. Hormesis has been studied extensively with ageing. Researchers found that introducing stressors like intermittent fasting, exercise, and cold shower therapy produces resilience and anti-ageing effects. For example, when an optional cold shower activates a mild fight or flight response, it increases our tolerance for the cold and can guard us against catching a cold. Just as we can build up our tolerance for poisons, we can improve our tolerance for adversity. This coffee narrative is a helpful metaphor that resonates in our lives and business. It's about the essentiality of struggle and how it moulds us, adding depth and substance to our existence. Just as the coffee plant needs the insect's bite to release its acid and liberate its flavour, we must struggle to bring out the best in ourselves. This is the paradoxical advantage of adversity. The Adversity Advantage: Nurturing Resilience In our forthcoming series, with former Executive Director of Research for the Accenture Institute for High Performance, Paul Nunes explains how high-performance companies develop a hothouse of talent. Paul tells us, "Talent hothouses are like agricultural greenhouses". A company needs to start with the right seeds to ensure early success for the vast majority. As those seedlings grow, leaders must find ways to prepare high-potential talent for inevitable challenges ahead. That preparation includes steps to increase their hardiness, so managers must regularly expose employees to unfamiliar ideas and ways of thinking." High-performance businesses create environments—often highly challenging—for employees to acquire the skills and experience needed to climb up the corporate ladder quickly. The goal is partly to create what our Accenture colleague Bob Thomas, in his book on the topic, calls “crucible” experiences. These life-changing events, whether on the job or not, hold lifetime lessons that can be mined to help transform someone into a leader." “You learn ten...

Resize main navigation   Trailer for the Mere Christians podcast   Mere Christians   1x   0:25 Change progress     1:24         Sign up to receive podcast:  People Group Summary: https://joshuaproject.net/people_groups/16229 #AThirdofUs                    https://athirdofus.com/ Listen to "A Third of Us" podcast with Greg Kelley, produced by the Alliance for the Unreached: https://alliancefortheunreached.org/podcast/ ·        JoshuaProject.net/frontier#podcast provides links to podcast recordings of the prayer guide for the 31 largest FPGs. ·        Go31.org/FREE provides the printed prayer guide for the largest 31 FPGs along with resources to support those wanting to enlist others in prayer for FPGs. ·        Indigitous.us/home/frontier-peoples has published a beautiful print/PDF introducti ·        on to FPGs for children, supported by a dramatized podcast edition.

Start going all in on the main client you want to attract.Posting on social media should be centered around who you want to attract. With these posts you should consider also what you love doing and highlighting that so you start attracting what you love to do and what you want to attract more.Here is one strategy-You want to attract more clients that are getting married at this venue you love. Clients at this venue have larger budgets and also the style of flowers you love to create.Step 1. You create a blog post on your website of a wedding you did at this venue highlighting what you can do, how beautiful your work is and more of what you want to attract at this venue.Step 2. You then make graphics about this wedding you featured in this blog post. You create a Instagram post graphic and take text from your blog post to post on Instagram. Use the venue's hashtags and tag the venue in the post.Step 3. You can resize that post and create and Instagram story graphic. Then you can use the Instagram sticker saying - NEW BLOG POST and then link the url from your blog.Step 4. Resize that graphic again to a Pinterest image. Create a total of 10 Pinterest graphics and use photos from your wedding highlighted in the post and have that link to your blog post. Trickle these out via a scheduling tool.Step 5. Next level- create a long form video tagging the video talking about areas you can put floral and share your excitement about the venue. Tag the venue and use their hashtags.Step 6. Make a reel with a quick 30-60 video of you talking about a fun idea for that venue, key floral considerations or something that speaks to that couple and that would benefit them to watch your video. You could also make a reel with trending music with a carousel of images from that wedding.

GPTVideos – GPTVideos – Create Pro Quality Videos In Seconds (marketingsharks.com)World's First Video Creator Powered by GPT-4 AI TechnologyGPTVideosEnter A Keyword,and GPTVideos willGive Ideas and Suggest TopicsWrite ScriptsCreate Scenes and DesignsDoes the epic Voice-OverProduce Quality Videos in Any Style In Any LanguageHow GPT4 is Creating Videos Inside GPTVideos?How does this A.I works?StoryboardingLet A.I break the content into multiple scenes. Keep the content engaging, hooking and get more views on your content.Idea and ScriptNo more research and brainstorming, AI will find trending and most relevent topic and write content around it.Finding Images & VideoNo need to pay 100s of dollars for stock images and vidoes. Our AI will find best suitable stock media and add to your video.Adding AnimationOur AI will automatically add smooth transtions, animation according to content to keep your views hooked.Adding Voiceover & MusicNothing looks good on screen without a good music and voice. Add mesmerrising Voice Automaically and Music from 50+ different music optionsPublish VideoLet Our Ultra Fast Rendering Servers Render Your Video to Publish Right Away.GPTVideos Features[+] AI Suggests Idea & Write Content in Scenes[+] 100+ Templates in Multiple Niches[+] Smoothest Ever Drag-n-Drp Editor[+] 1.5 Mn+ Stock Image & Video Library[+] 500+ Fonts and Style Customisation[+] Create videos in 90+ Languages[+] Advanced Layer Management[+] Stickers, Shapes, Icons, Animations and more[+] Crop, Resize, Mask & More[+] Make Images Pop with Filters[+] Ready to Use Text Blocks[+] Image Masking

Got a Minute? Checkout today's episode of The Guy R Cook Report podcast - the Google Doc for this episode is @ 20230502 5 ways to easily resize and optimize images for the web on Linux ----more---- Support this podcast Subscribe where you listen to podcasts I help goal oriented business owners that run established companies to leverage the power of the internet Contact Guy R Cook @ https://guyrcook.com The Website Design Questionnaire https://guycook.wordpress.com/start-with-a-plan/ In the meantime, go ahead follow me on Twitter: @guyrcookreport Click to Tweet Be a patron of The Guy R Cook Report. Your help is appreciated.   https://guyrcook.com https://theguyrcookreport.com/#theguyrcookreport Follow The Guy R Cook Report on Podbean iPhone and Android App | Podbean   https://bit.ly/3m6TJDV Thanks for listening, viewing or reading the show notes for this episode. Vlog files for 2022 are at 2022 video episodes of The Guy R Cook Report Have a great new year, and hopefully your efforts to Entertain, Educate, Convince or Inspire are in play vDomainHosting, Inc 3110 S Neel Place Kennewick, WA 509-200-1429

View in HD at . Learn how you can use the macOS built-in app Preview to crop, resize and export an image in another format. You can use this to shrink images to smaller files for sending or storing.

Resize main navigationBMB Ep44: Tales from Elk camp Featuring Chad LagerBull Mountain Brothers0:00Change progress1:16:10Change volumePODCAST EPISODEBMB Ep 43: The Lost Tapes - Archery OpenerBull Mountain BrothersNov 161 hr 2 minEpisode DescriptionThanks for listening! Check out our socials for daily contentInstagram- @bull_moutain_brothersFacebook- Bull Moutain BrothersTik Tok- @bull_mountain _brothersYouTube- Bull Moutain BrothersWe have tons of merch available, check it out at bullmountainbrothers.com. Limited edition podcast drop hats are in inventory still , get them while you can, once they are gone they are gone!We appreciate every follow, like and subscription. make sure to add input to our content for things you would like to see and things you've enjoyed listening toMake sure to Check our YouTube channel out

Super short show this week with only 3 silent updates and zero published releases. This has never happened in the past 101 episodes we have done, but it was bound to happen eventually. Enjoy! Shoutout to our friends at @Lawrence Systems in this week's episode mentioning their studio setup. Check out that video here: https://youtu.be/vgIT96iiU70 Silent Releases Resizing Pivot Tables in Google Sheets Improved search results based on recent search activity in Gmail Share Google Docs, Sheets, and Slides files in Google Meet chat Published Releases Zero published releases this week Other Topics ChromeOS isn't ready for 120 Hz Chromebooks even though cloud gaming is Framework Chromebook has shipped! tabGeeks Resources

View in HD at . If you want to share a photo from your Photos Library or a file on your iPhone or iPad, you can use this Shortcut to resize it and convert it first. A very simple Shortcut can be used to do it for one photo, and a slightly more complex one can do it for multiple photos.

In today's episode we're taking your questions and talking about the images you use on your website, email marketing and social media. Have a listen for the answers and find out more at DelosInc.com/episode259.

Vandaag praten we over het beschikbaar komen van live resize opties voor SSD's, hoe Microsoft licenties makkelijker maakt en natuurlijk weer een update rondom basic authentication nu het bijna 1 oktober is. Presentatie: Barbara Forbes & Jos van Schouten Productie / edit: Nils Bloem Powered by OGD ict-diensten https://www.ogd.nl/ Partner licenties en Teams Rooms licenties https://www.microsoft.com/en-us/licensing/news/options-for-hosted-cloud https://www.microsoft.com/en-us/microsoft-365/blog/2022/09/06/meet-microsoft-teams-rooms-pro/ Live resize for Premium SSD and Standard SSD Disk Storage https://azure.microsoft.com/en-us/updates/generally-available-live-resize-for-premium-ssd-and-standard-ssd-disk-storage/ Enterprise-grade edge for Azure Static Web Apps https://azure.microsoft.com/en-us/updates/generally-available-enterprisegrade-edge-for-azure-static-web-apps/ Laatste nieuws rondom basic authentication https://techcommunity.microsoft.com/t5/exchange-team-blog/basic-authentication-deprecation-in-exchange-online-september/ba-p/3609437

Got a Minute? Website owner checkout today's episode of The Guy R Cook Report podcast - the Google Doc for this episode is @ 20220629 Replay How to resize a digital image to be right size ----more---- Support this podcast Subscribe where you listen to podcasts I help goal oriented business owners that run established companies to leverage the power of the internet Contact Guy R Cook @ https://guyrcook.com The Website Design Questionnaire https://guycook.wordpress.com/start-with-a-plan/ In the meantime, go ahead follow me on Twitter: @guyrcookreport Click to Tweet Be a patron of The Guy R Cook Report. Your help is appreciated.   https://guyrcook.com https://theguyrcookreport.com/#theguyrcookreport Follow The Guy R Cook Report on Podbean iPhone and Android App | Podbean   https://bit.ly/3m6TJDV Thanks for listening, viewing or reading the show notes for this episode. Vlog files for 2022 are at 2022 video episodes of The Guy R Cook ReportHave a great new year, and hopefully your efforts to Entertain, Educate, Convince or Inspire are in play vDomainHosting, Inc 3110 S Neel Place Kennewick, WA 509-200-1429

Resize main navigationPREVIEW OF SPOTIFYSign up to get unlimited songs and podcasts with occasional ads. No credit card needed.Sign up freeAfter my conversation with Kelsey and Rori of Soulshine Birth, I wanted to have a mini-episode about using affirmations and visualizations. Here's what this mini-episode covers:  What are affirmations and visualizations?How do I use them during pregnancy and postpartum?What are affirmations I can use for pregnancy and postpartum?I hope you enjoy this episode! Please share the pod with a friend or loved one and subscribe to keep learning from me and my guests. You can learn more about how I empower new and expecting parents on my Instagram and my website.

Got a Minute? Website owner checkout today's episode of The Guy R Cook Report podcast - the Google Doc for this episode is @ How to resize a digital image to be right size ----more---- Support this podcast Subscribe where you listen to podcasts I help goal oriented business owners that run established companies to leverage the power of the internet Contact Guy R Cook @ https://guyrcook.com The Website Design Questionnaire https://guycook.wordpress.com/start-with-a-plan/ In the meantime, go ahead follow me on Twitter: @guyrcookreport Click to Tweet Be a patron of The Guy R Cook Report. Your help is appreciated.   https://guyrcook.com https://theguyrcookreport.com/ Follow The Guy R Cook Report on Podbean iPhone and Android App | Podbean   https://bit.ly/3m6TJDV Thanks for listening, viewing or reading the show notes for this episode. Vlog files for 2022 are at 2022 video episodes of The Guy R Cook ReportHave a great new year, and hopefully your efforts to Entertain, Educate, Convince or Inspire are in play vDomainHosting, Inc 3110 S Neel Place Kennewick, WA 509-200-1429

It's the 40th episode...wow! Thanks for following and listening! You all are amazing and I'm so grateful. Today, I explain step by step how to compress and resize images using the paid version of Canva. I am not an affiliate of Canva, I just use it a lot and I think it's a great tool to prepare images for websites - and you all know it drives me crazy when images aren't resized and compressed. Also, large files slow down the load and performance of your website which in turn affects your core web vitals. Follow along and learn. If you use PhotoShop, let me know and I can walk you through how to compress and resize images there too. Click on the link below to leave me a voice message! Happy Website-ing! --- Send in a voice message: https://anchor.fm/mistie-smith/message

Have you used Presenter mode in Microsoft Teams? Presenters can arrange their shared content and video feed in engaging new ways. But the video and content was in fixed positions for each scene. Now you will have the option to resize and move your video feed and content.     In this week's show:     - Presenter modes move and resize options     - Loop components in Teams Chat     - Text Predictions for Teams Mobile on Android     - Inspiration Library in Microsoft Viva Insights     - Forms Portal Page Experience Improvement     - User requests for apps in Teams store     - SharePoint: Create from the SharePoint app bar         Join Daniel Glenn and Darrell as a Service Webster as they cover the latest messages in the Microsoft 365 Message Center.   Follow us!   Twitter - Facebook - LinkedIn Check out Daniel and Darrell's own YouTube channels at:     Daniel - https://DanielGlenn.com/YT Darrell - https://www.youtube.com/modernworkmentor   

UPGRADE Andre Murphy Ministries Mix http Resize main navigation PODCAST EPISODE Apr 2 4 min 11 sec left Episode Description This is your day for a Miracle broadcast L i V E * * * * *. Music Pas --- Send in a voice message: https://anchor.fm/andre-murphy8/message

I'm Dr. Krishna Rao Vijayanagar, and I have worked on Video Compression (AVC, HEVC, MultiView Plus Depth), ABR streaming, and Video Analytics (QoE, . Basic Steps to HLS Packaging using FFmpeg. Resize a Video to Multiple Resolutions using FFmpeg ffmpeg -i brooklynsfinest_clip_1080p.mp4 -filter_complex "[0:v]split=3[v1][v2][v3]; [v1]copy[v1out]; [v2]scale=w=1280:h=720[v2out]; [v3]scale=w=640:h=360[v3out]" Transcode a Video to Multiple Bitrates for HLS Packaging using FFmpeg. -map [v1out] -c:v:0 libx264 -x264-params "nal-hrd=cbr:force-cfr=1" -b:v:0 5M -maxrate:v:0 5M -minrate:v:0 5M -bufsize:v:0 10M -preset slow -g 48 -sc_threshold 0 -keyint_min 48 -map [v2out] -c:v:1 libx264 -x264-params "nal-hrd=cbr:force-cfr=1" -b:v:0 3M -maxrate:v:0 3M -minrate:v:0 3M -bufsize:v:0 3M -preset slow -g 48 -sc_threshold 0 -keyint_min 48 -map [v3out] -c:v:2 libx264 -x264-params "nal-hrd=cbr:force-cfr=1" -b:v:0 1M -maxrate:v:0 1M -minrate:v:0 1M -bufsize:v:0 1M -preset slow -g 48 -sc_threshold 0 -keyint_min 48 -map a:0 -c:a:0 aac -b:a:0 96k -ac 2 -map a:0 -c:a:1 aac -b:a:1 96k -ac 2 -map a:0 -c:a:2 aac -b:a:2 48k -ac 2 Creating HLS Playlists (m3u8) using FFmpeg. -f hls -hls_time 2 -hls_playlist_type vod -hls_flags independent_segments -hls_segment_type mpegts -hls_segment_filename stream_%v/data%02d.ts -var_stream_map “v:0,a:0 v:1,a:1 v:2,a:2” stream_%v/stream.m3u8. Create an HLS Master Playlist (m3u8) using FFmpeg. -master_pl_name master.m3u8. Final Script for HLS Packaging using FFmpeg – VOD ffmpeg -i brooklynsfinest_clip_1080p.mp4 -filter_complex "[0:v]split=3[v1][v2][v3]; [v1]copy[v1out]; [v2]scale=w=1280:h=720[v2out]; [v3]scale=w=640:h=360[v3out]" -map [v1out] -c:v:0 libx264 -x264-params "nal-hrd=cbr:force-cfr=1" -b:v:0 5M -maxrate:v:0 5M -minrate:v:0 5M -bufsize:v:0 10M -preset slow -g 48 -sc_threshold 0 -keyint_min 48 -map [v2out] -c:v:1 libx264 -x264-params "nal-hrd=cbr:force-cfr=1" -b:v:1 3M -maxrate:v:1 3M -minrate:v:1 3M -bufsize:v:1 3M -preset slow -g 48 -sc_threshold 0 -keyint_min 48 -map [v3out] -c:v:2 libx264 -x264-params "nal-hrd=cbr:force-cfr=1" -b:v:2 1M -maxrate:v:2 1M -minrate:v:2 1M -bufsize:v:2 1M -preset slow -g 48 -sc_threshold 0 -keyint_min 48 -map a:0 -c:a:0 aac -b:a:0 96k -ac 2 -map a:0 -c:a:1 aac -b:a:1 96k -ac 2 -map a:0 -c:a:2 aac -b:a:2 48k -ac 2 -f hls -hls_time 2 -hls_playlist_type vod -hls_flags independent_segments -hls_segment_type mpegts -hls_segment_filename stream_%v/data%02d.ts -master_pl_name master.m3u8 -var_stream_map "v:0,a:0 v:1,a:1 v:2,a:2" stream_%v.m3u8. #EXTM3U. #EXT-X-VERSION:6. #EXT-X-STREAM-INF:BANDWIDTH=5605600,RESOLUTION=1920x1080,CODECS="avc1.640032,mp4a.40.2" stream_0.m3u8. #EXTM3U. #EXT-X-VERSION:6. #EXT-X-TARGETDURATION:2. #EXT-X-MEDIA-SEQUENCE:0. #EXT-X-PLAYLIST-TYPE:VOD. #EXT-X-INDEPENDENT-SEGMENTS. #EXTINF:2.002000, data00.ts. #EXTINF:2.002000, data01.ts. #EXTINF:2.002011, data02.ts. #EXTINF:2.002000, data03.ts. #EXTINF:2.002000, data04.ts. #EXTINF:2.002000, data05.ts. #EXTINF:2.002000, data06.ts. #EXTINF:2.002000, data07.ts. #EXTINF:2.002011, data08.ts. #EXTINF:2.002000, data09.ts. #EXTINF:0.041711, data10.ts. #EXT-X-ENDLIST. Live HLS Packaging using FFmpeg. #EXTM3U. #EXT-X-VERSION:6. #EXT-X-TARGETDURATION:2. #EXT-X-MEDIA-SEQUENCE:1. #EXT-X-INDEPENDENT-SEGMENTS. #EXTINF:2.002000, data01.ts. #EXTINF:2.002011, data02.ts. #EXTM3U. #EXT-X-VERSION:6. #EXT-X-TARGETDURATION:2. #EXT-X-MEDIA-SEQUENCE:2. #EXT-X-INDEPENDENT-SEGMENTS. #EXTINF:2.002011, data02.ts. #EXTINF:2.002000, data03.ts. Other useful HLS Packaging options in FFmpeg. Conclusion. Basic Steps to HLS Packaging using FFmpeg. Resize a Video to Multiple Resolutions using FFmpeg ffmpeg -i brooklynsfinest_clip_1080p.mp4 -filter_complex "[0:v]split=3[v1][v2][v3]; [v1]copy[v1out]; [v2]scale=w=1280:h=720[v2out]; [v3]scale=w=640:h=360[v3out]" Transcode a Video to Multiple Bitrates for HLS Packaging using FFmpeg. -map [v1out] -c:v:0 libx264 -x264-params "nal-hrd=cbr:fo...

The Defense Health Agency has been working for years on rightsizing the Military Health system. What that means is moving some TRICARE beneficiaries away from military hospitals and clinics and to private providers. DHA had to rethink that plan after COVID hit and now a new study says TRICARE patients might get lesser care in the private world. Federal News Network's Scott Maucione talks about how DHA is responding with DHA's Assistant Director of Healthcare Administration Dr. Brian Lein.

Angelena discusses realistic options for brides navigating the challenges of wedding planning through the Coronavirus Pandemic. 

In this episode Rick tells a story of how improper focus on a goal almost resulted in breaking his hand and why it's important that you experiment with structuring your own goals in new ways to get best results with your follow through. And if you want your goals to fail, you're in luck, as Rick shares the 3 things you can do that will ensure you never develop sufficient motivation to achieve them.

Auch ohne Gast können wir uns einem Thema intensiv widmen: Schepp und Hans reden über den Resize Observer. Aber hört selbst… SCHAUNOTIZEN [00:01:00] RESIZE OBSERVER Der Resize Observer lässt Nutze…

While one party member stays behind to keep a watchful eye on the aftermath of their recent sabotage, the others travel far away to return to a very familiar place.Become a supporter of the podcast at our Patreon page: http://www.patreon.com/glasscannon You can help us unlock goals for the future while unlocking fun GCP exclusive rewards for yourself!

We review the information about Spectre & Meltdown thus far, we look at NetBSD memory sanitizer progress, Postgres on ZFS & show you a bit about NomadBSD. This episode was brought to you by Headlines Meltdown Spectre Official Site (https://meltdownattack.com/) Kernel-memory-leaking Intel processor design flaw forces Linux, Windows redesign (https://www.theregister.co.uk/2018/01/02/intel_cpu_design_flaw/) Intel's official response (https://newsroom.intel.com/news/intel-responds-to-security-research-findings/) The Register mocks intels response with pithy annotations (https://www.theregister.co.uk/2018/01/04/intel_meltdown_spectre_bugs_the_registers_annotations/) Intel's Analysis PDF (https://newsroom.intel.com/wp-content/uploads/sites/11/2018/01/Intel-Analysis-of-Speculative-Execution-Side-Channels.pdf) XKCD (https://xkcd.com/1938/) Response from FreeBSD (https://lists.freebsd.org/pipermail/freebsd-security/2018-January/009719.html) FreeBSD's patch WIP (https://reviews.freebsd.org/D13797) Why Raspberry Pi isn't vulnerable to Spectre or Meltdown (https://www.raspberrypi.org/blog/why-raspberry-pi-isnt-vulnerable-to-spectre-or-meltdown/) Xen mitigation patches (https://lists.xenproject.org/archives/html/xen-devel/2018-01/msg00110.html) Overview of affected FreeBSD Platforms/Architectures (https://wiki.freebsd.org/SpeculativeExecutionVulnerabilities) Groff's response (https://twitter.com/GroffTheBSDGoat/status/949372300368867328) ##### We'll cover OpenBSD, NetBSD, and DragonflyBSD's responses in next weeks episode. *** ###The LLVM Memory Sanitizer support work in progress (https://blog.netbsd.org/tnf/entry/the_llvm_memory_sanitizer_support) > In the past 31 days, I've managed to get the core functionality of MSan to work. This is an uninitialized memory usage detector. MSan is a special sanitizer because it requires knowledge of every entry to the basesystem library and every entry to the kernel through public interfaces. This is mandatory in order to mark memory regions as initialized. Most of the work has been done directly for MSan. However, part of the work helped generic features in compiler-rt. Sanitizers > Changes in the sanitizer are listed below in chronological order. Almost all of the changes mentioned here landed upstream. A few small patches were reverted due to breaking non-NetBSD hosts and are rescheduled for further investigation. I maintain these patches locally and have moved on for now to work on the remaining features. NetBSD syscall hooks > I wrote a large patch (815kb!) adding support for NetBSD syscall hooks for use with sanitizers. NetBSD ioctl(2) hooks > Similar to the syscall hooks, there is need to handle every ioctl(2) call. I've created the needed patch, this time shorter - for less than 300kb. New patches still pending for upstream review > There are two corrections that I've created, and they are still pending upstream for review: Add MSan interceptor for fstat(2)](https://reviews.llvm.org/D41637) Correct the setitimer interceptor on NetBSD)](https://reviews.llvm.org/D41502) > I've got a few more local patches that require cleanup before submitting to review. NetBSD basesystem corrections Sanitizers in Go The MSan state as of today Solaris support in sanitizers > I've helped the Solaris team add basic support for Sanitizers (ASan, UBsan). This does not help NetBSD directly, however indirectly it improves the overall support for non-Linux hosts and helps to catch more Linuxisms in the code. Plan for the next milestone > I plan to continue the work on MSan and correct sanitizing of the NetBSD basesystem utilities. This mandates me to iterate over the basesystem libraries implementing the missing interceptors and correcting the current support of the existing ones. My milestone is to build all src/bin programs against Memory Sanitizer and when possible execute them cleanly. This work was sponsored by The NetBSD Foundation. The NetBSD Foundation is a non-profit organization and welcomes any donations to help us continue funding projects and services to the open-source community. Please consider visiting the following URL, and chip in what you can: http://netbsd.org/donations/#how-to-donate (http://netbsd.org/donations/#how-to-donate) *** ##News Roundup ###MWL's 2017 Wrap-Up (https://blather.michaelwlucas.com/archives/3078) > The obvious place to start is my 2016 wrap-up post](https://blather.michaelwlucas.com/archives/2822), where I listed goals for 2017. As usual, these goals were wildly delusional. > The short answer is, my iron was back up to normal. My writing speed wasn't, though. I'd lost too much general health, and needed hard exercise to recover it. Yes, writing requires physical endurance. Maintaining that level of concentration for several hours a day demands a certain level of blood flow to the brain. I could have faked it in a day job, but when self-employed as an artist? Not so much. > Then there's travel. I did my usual BSDCan trip, plus two educational trips to Lincoln City, Oregon. The current political mayhem convinced me that if I wanted to hit EuroBSDCon any time in the next few years, I should do it in the very near future. So I went to Paris, where I promptly got pickpocketed. (Thankfully, they didn't get my passport.) I was actively writing the third edition of Absolute FreeBSD, so I visited BSDCam in Cambridge to get the latest information and a sense of where FreeBSD was going. I also did weekends at Kansas LinuxFest (because they asked and paid for my trip) and Penguicon. > (Because people will ask: why EuroBSDCon and not AsiaBSDCon? A six-hour transatlantic flight requires that I take a substantial dose of heavy-grade tranquilizers. I'm incapable of making intelligent decisions while on those drugs, or for several hours afterward. They don't last long enough for twelve-hour flight to Japan, so I need to be accompanied by someone qualified to tell me when I need to take the next dose partway through the flight. This isn't a predetermined time that I can set an alarm for; it depends on how the clonazepam affects me at those altitudes. A drug overdose while flying over the North Pole would be bad. When I can arrange that qualified companion, I'll make the trip.) > I need most of the preceding week to prepare for long trips. I need the following week to recover from time shifts and general exhaustion. Additionally, I have to hoard people juice for a few weeks beforehand so I can deal with folks during these expeditions. Travel disrupts my dojo time as well, which impacts my health. > Taken as a whole: I didn't get nearly as much done as I hoped. I wrote more stories, but Kris Rusch bludgeoned me into submitting them to trad markets. (The woman is a brute, I tell you. Cross her at your peril.) Among my 2017 titles, my fiction outsold the tech books. No, not Prohibition Orcs–all four of the people who buy those love them, but the sales tell me I've done something wrong with those tales. My cozy mystery git commit murder outsold Relayd and Httpd Mastery. But what outdid them both, as well as most of my older books? What title utterly dominated my sales for the last quarter of the year? It was of course, my open source software political satire disguised as porn Savaged by Systemd: an Erotic Unix Encounter. (https://www.michaelwarrenlucas.com/index.php/romance#sbs) > I can't believe I just wrote that paragraph. The good news is, once I recovered from EuroBSDCon, my writing got better. I finished Absolute FreeBSD, 3rd edition and submitted it to the publisher. I wrote the second edition of SSH Mastery (no link, because you can't order it yet.) I'm plowing through git sync murder, the sequel to git commit murder. I don't get to see the new Star Wars movie until I finish GSM, so hopefully that'll be this month. All in all, I wrote 480,200 words in 2017. Most of that was after September. It's annoyingly close to breaking half a million, but after 2016's scandalous 195,700, I'll take it. *** ###PG Phriday: Postgres on ZFS (https://blog.2ndquadrant.com/pg-phriday-postgres-zfs/) > ZFS is a filesystem originally created by Sun Microsystems, and has been available for BSD over a decade. While Postgres will run just fine on BSD, most Postgres installations are historically Linux-based systems. ZFS on Linux has had much more of a rocky road to integration due to perceived license incompatibilities. > As a consequence, administrators were reluctant or outright refused to run ZFS on their Linux clusters. It wasn't until OpenZFS was introduced in 2013 that this slowly began to change. These days, ZFS and Linux are starting to become more integrated, and Canonical of Ubuntu fame even announced direct support for ZFS in their 16.04 LTS release. > So how can a relatively obscure filesystem designed by a now-defunct hardware and software company help Postgres? Let's find out! Eddie waited til he finished high school > Old server hardware is dirt cheap these days, and make for a perfect lab for testing suspicious configurations. This is the server we'll be using for these tests for those following along at home, or want some point of reference: Dell R710 x2 Intel X5660 CPUs, for up to 24 threads 64GB RAM x4 1TB 7200RPM SATA HDDs H200 RAID card configured for Host Bus Adapter (HBA) mode 250GB Samsung 850 EVO SSD > The H200 is particularly important, as ZFS acts as its own RAID system. It also has its own checksumming and other algorithms that don't like RAID cards getting in the way. As such, we put the card itself in a mode that facilitates this use case. > Due to that, we lose out on any battery-backed write cache the RAID card might offer. To make up for it, it's fairly common to use an SSD or other persistent fast storage to act both as a write cache, and a read cache. This also transforms our HDDs into hybrid storage automatically, which is a huge performance boost on a budget. She had a guitar and she taught him some chords > First things first: we need a filesystem. This hardware has four 1TB HDDs, and a 250GB SSD. To keep this article from being too long, we've already placed GPT partition tables on all the HDDs, and split the SSD into 50GB for the OS, 32GB for the write cache, and 150GB for the read cache. A more robust setup would probably use separate SSDs or a mirrored pair for these, but labs are fair game. They moved into a place they both could afford > Let's start by getting a performance baseline for the hardware. We might expect peak performance at 12 or 24 threads because the server has 12 real CPUs and 24 threads, but query throughput actually topped out at concurrent 32 processes. We can scratch our heads over this later, for now, we can consider it the maximum capabilities of this hardware. Here's a small sample: ``` $> pgbench -S -j 32 -c 32 -M prepared -T 20 pgbench ... tps = 264661.135288 (including connections establishing) tps = 264849.345595 (excluding connections establishing) ``` So far, this is pretty standard behavior. 260k prepared queries per second is great read performance, but this is supposed to be a filesystem demonstration. Let's get ZFS involved. + The papers said Ed always played from the heart Let's repeat that same test with writes enabled. Once that happens, filesystem syncs, dirty pages, WAL overhead, and other things should drastically reduce overall throughput. That's an expected result, but how much are we looking at, here? ``` $> pgbench -j 32 -c 32 -M prepared -T 10 pgbench ... tps = 6153.877658 (including connections establishing) tps = 6162.392166 (excluding connections establishing) ``` SSD cache or not, storage overhead is a painful reality. Still, 6000 TPS with writes enabled is a great result for this hardware. Or is it? Can we actually do better? Consider the Postgres fullpagewrites parameter. Tomas Vondra has written about it in the past as a necessity to prevent WAL corruption due to partial writes. The WAL is both streaming replication and crash recovery, so its integrity is of utmost importance. As a result, this is one parameter almost everyone should leave alone. ZFS is Copy on Write (CoW). As a result, it's not possible to have a torn page because a page can't be partially written without reverting to the previous copy. This means we can actually turn off fullpagewrites in the Postgres config. The results are some fairly startling performance gains: $> pgbench -j 32 -c 32 -M prepared -T 10 pgbench tps = 10325.200812 (including connections establishing) tps = 10336.807218 (excluding connections establishing) That's nearly a 70% improvement. Due to write amplification caused by full page writes, Postgres produced 1.2GB of WAL files during a 1-minute pgbench test, but only 160MB with full page writes disabled. To be fair, a 32-thread pgbench write test is extremely abusive and certainly not a typical usage scenario. However, ZFS just ensured our storage a much lower write load by altering one single parameter. That means the capabilities of the hardware have also been extended to higher write workloads as IO bandwidth is not being consumed by WAL traffic. + They both met movie stars, partied and mingled Astute readers may have noticed we didn't change the default ZFS block size from 128k to align with the Postgres default of 8kb. As it turns out, the 128kb blocks allow ZFS to better combine some of those 8kb Postgres pages to save space. That will allow our measly 2TB to go a lot further than is otherwise possible. Please note that this is not de-duplication, but simple lz4 compression, which is nearly real-time in terms of CPU overhead. De-duplication on ZFS is currently an uncertain bizzaro universe populated with misshapen horrors crawling along a broken landscape. It's a world of extreme memory overhead for de-duplication tables, and potential lost data due to inherent conflicts with the CoW underpinnings. Please don't use it, let anyone else use it, or even think about using it, ever. + They made a record and it went in the chart We're still not done. One important aspect of ZFS as a CoW filesystem, is that it has integrated snapshots. Consider the scenario where a dev is connected to the wrong system and drops what they think is a table in a QA environment. It turns out they were in the wrong terminal and just erased a critical production table, and now everyone is frantic. + The future was wide open It's difficult to discount an immediately observable reduction in write overhead. Snapshots have a multitude of accepted and potential use cases, as well. In addition to online low-overhead compression, and the hybrid cache layer, ZFS boasts a plethora of features we didn't explore. Built-in checksums with integrated self-healing suggest it isn't entirely necessary to re-initialize an existing Postgres instance to enable checksums. The filesystem itself ensures checksums are validated and correct, especially if we have more than one drive resource in our pool. It even goes the extra mile and actively corrects inconsistencies when encountered. I immediately discounted ZFS back in 2012 because the company I worked for at the time was a pure Linux shop. ZFS was only available using the FUSE driver back then, meaning ZFS only worked through userspace with no real kernel integration. It was fun to tinker with, but nobody sane would use that on a production server of any description. Things have changed quite drastically since then. I've stopped waiting for btrfs to become viable, and ZFS has probably taken the throne away from XFS as my filesystem of choice. Future editions of the Postgres High Availability Cookbook will reflect this as well. Postgres MVCC and ZFS CoW seem made for each other. I'm curious to see what will transpire over the next few years now that ZFS has reached mainstream acceptance in at least one major Linux distribution. NomadBSD (https://github.com/mrclksr/NomadBSD) About NomadBSD is a live system for flash drives, based on FreeBSD. Screenshots http://freeshell.de/~mk/download/nomadbsd-ss1.png http://freeshell.de/~mk/download/nomadbsd-ss2.png Requirements for building the image A recent FreeBSD system Requirements for running NomadBSD A 4GB (or more) flash drive A System capable running FreeBSD 11.1 (amd64) Building the image ~~ csh # make image ~~ Writing the image to an USB memory stick ~~ csh # dd if=nomadbsd.img of=/dev/da0 bs=10240 conv=sync ~~ Resize filesystem to use the entire USB memory Boot NomadBSD into single user mode, and execute: ~~ # gpart delete -i 2 da0s1 # gpart resize -i 1 da0 # gpart commit da0s1 ~~ Determine the partition size in megabytes using fdisk da0 and calculate the remaining size of da0s1a: = - . ~~ # gpart resize -i 1 -s M da0s1 # gpart add -t freebsd-swap -i 2 da0s1 # glabel label NomadBSDsw da0s1b # service growfs onestart # reboot ~~ FreeBSD forum thread (https://forums.freebsd.org/threads/63888/) A short screen capture video of the NomadBSD system running in VirtualBox (https://freeshell.de/~mk/download/nomad_capture.mp4) *** ##Beastie Bits Coolpkg, a package manager inspired by Nix for OpenBSD (https://github.com/andrewchambers/coolpkg) zrepl - ZFS replication (https://zrepl.github.io/) OpenBSD hotplugd automount script (https://bijanebrahimi.github.io/blog/openbsd-hotplugd-scripting.html) Ancient troff sources vs. modern-day groff (https://virtuallyfun.com/2017/12/22/learn-ancient-troff-sources-vs-modern-day-groff/) Paypal donation balance and status.. thanks everyone! (http://lists.dragonflybsd.org/pipermail/users/2017-December/313752.html) Supervised FreeBSD rc.d script for a Go daemon (updated in last few days) (https://redbyte.eu/en/blog/supervised-freebsd-init-script-for-go-deamon/) A Brief History of sed (https://blog.sourcerer.io/a-brief-history-of-sed-6eaf00302ed) Flamegraph: Why does my AWS instance boot so slow? (http://www.daemonology.net/timestamping/tslog-c5.4xlarge.svg) *** ##Feedback/Questions Jeremy - Replacing Drive in a Zpool (http://dpaste.com/319593M#wrap) Dan's Blog (https://dan.langille.org/2017/08/16/swapping-5tb-in-3tb-out/) Tim - Keeping GELI key through reboot (http://dpaste.com/11QTA06) Brian - Mixing 2.5 and 3.5 drives (http://dpaste.com/2JQVD10#wrap) Troels - zfs swap on FreeBSD (http://dpaste.com/147WAFR#wrap) ***

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