Podcasts about TCP

Max and Q cover the latest happenings in the world of Bitcoin, privacy and much more. AOBPrimeNew letter from KeonneQ vibing hardNEWSGrapheneOS announces Motorola partnershipTrump's "American Cyber Strategy" Puts Crypto on National Security MapSon of U.S. government contractor, accused of stealing millions in seized crypto, arrested in FranceTreasury tells congress mixers have valid privacy usesStrike now available in New YorkSolo Satoshi - Bitaxe TouchBitwise to donate $233,000 to open source Bitcoin devsUPDATES/RELEASESTailrelayA Docker container that exposes local services to your Tailscale network. Combines Tailscale VPN, Caddy reverse proxy, socat TCP relays, and a Web UI for browser-based management.https://github.com/sudocarlos/tailrelayStealth AnnouncedA privacy audit tool for Bitcoin wallets. Stealth analyzes the transaction history of a wallet descriptor and surfaces privacy findings from real on-chain heuristics.https://github.com/LORDBABUINO/stealth/tree/mainCake Wallet v6.0.0 / v6.0.1 — 27 Feb / 6 Mar 2026Major release: complete UI redesign plus self-custodial Bitcoin Lightning integration via Breez SDK and Spark protocol. Privacy-first defaults — Lightning invoices don't embed Spark addresses, transaction data not published to public explorers by default. Custom @cake.cash Lightning addresses. Enhanced Monero syncing.https://github.com/cake-tech/cake_wallet/releasesZeus v0.12.4 / v0.12.5 — 2 March 2026Bug fix releases addressing Android SQLite database issues for new wallets (sync past block 123,000), iOS safe area fixes, and crash prevention when returning from LSPS1 view.https://github.com/ZeusLN/zeus/releasesBlueWallet v7.2.6 — 23 February 2026Added BBQR support for Coldcard, simpler settings UI, and dates on transaction list.https://github.com/BlueWallet/BlueWallet/releasesFrostsnap v0.2.1 — 23 February 2026QR camera scanning now works on all platforms (Linux, macOS desktop). Fixed Electrum connectivity on IPv6 networks using "Happy Eyeballs" algorithm. Device erasure black screen fix and macOS app signing improvements.https://github.com/frostsnap/frostsnap/releasesPhoenix v2.7.5 — 25 Feb (Android) / 26 Feb (iOS) 2026Maintenance release for both platforms. Release notes were sparse — Q may want to check changelog manually.https://github.com/ACINQ/phoenix/releasesLNBits v1.5.0 — 4 March 2026Stable release (up from v1.4.2). Full changelog not detailed in release notes — worth checking manually if covering.https://github.com/lnbits/lnbits/releasesPeach Bitcoin v0.69.0 — 23 Feb / 3 Mar 2026New accounts now generate PGP keypairs from seed phrases, payment details encrypted and backed up to servers. Added M-Pesa payment method. Transaction IDs now copyable. Fixed Android wallet emptying bug.https://github.com/Peach2Peach/peach-app/releasesBitkey App Release 2026.2.0 — 23 February 2026Block/Square's hardware wallet app update. Detailed release notes not available from feed.https://github.com/proto-at-block/bitkey/releasesMempool v3.3.0-beta — 21 February 2026Beta release of v3.3.0. Details sparse.https://github.com/mempool/mempool/releasesStart9 StartOS v0.4.0-alpha.20 — 6 March 2026Alpha release with error info propagation, AI agent docs, preferred external ports beyond 443, SSH config fixes, WiFi deprecation handling.https://github.com/Start9Labs/start-os/releasesBlitz Wallet 4.0Payment poolshttps://x.com/BlitzWalletApp/status/2028867592065105932?s=20EDUCATIONLightning is dead, long live Lightning - Roy from BreezHater to builder - Seth from CakeHELP GET SAMOURAI A PARDONSIGN THE PETITION ----> https://www.change.org/p/stand-up-for-freedom-pardon-the-innocent-coders-jailed-for-building-privacy-tools DONATE TO THE FAMILIES ----> https://www.givesendgo.com/billandkeonneSUPPORT ON SOCIAL MEDIA ---> https://billandkeonne.org/VALUE FOR VALUEThanks for listening you Ungovernable Misfits, we appreciate your continued support and hope you enjoy the shows.You can support this episode using your time, talent or treasure.TIME:- create fountain clips for the show- create a meetup- help boost the signal on social mediaTALENT:- create ungovernable misfit inspired art, animation or music- design or implement some software that can make the podcast better- use whatever talents you have to make a contribution to the show!TREASURE:- BOOST IT OR STREAM SATS on the Podcasting 2.0 apps @ https://podcastapps.com- DONATE via Monero @ https://xmrchat.com/ugmf- BUY SOME STICKERS @ https://www.ungovernablemisfits.com/shop/FOUNDATIONhttps://foundation.xyz/ungovernableFoundation builds Bitcoin-centric tools that empower you to reclaim your digital sovereignty.As a sovereign computing company, Foundation is the antithesis of today's tech conglomerates. Returning to cypherpunk principles, they build open source technology that “can't be evil”.Thank you Foundation Devices for sponsoring the show!Use code: Ungovernable for $10 off of your purchaseCAKE WALLEThttps://cakewallet.comCake Wallet is an open-source, non-custodial wallet available on Android, iOS, macOS, and Linux.Features:- Built-in Exchange: Swap easily between Bitcoin and Monero.- User-Friendly: Simple interface for all users.Monero Users:- Batch Transactions: Send multiple payments at once.- Faster Syncing: Optimized syncing via specified restore heights- Proxy Support: Enhance privacy with proxy node options.Bitcoin Users:- Coin Control: Manage your transactions effectively.- Silent Payments: Static bitcoin addresses- Batch Transactions: Streamline your payment process.Thank you Cake Wallet for sponsoring the show!MYNYMBOXhttps://mynymbox.ioYour go-to for anonymous server hosting solutions, featuring: virtual private & dedicated servers, domain registration and DNS parking. We don't require any of your personal information, and you can purchase using Bitcoin, Lightning, Monero and many other cryptos.Explore benefits such as No KYC, complete privacy & security, and human support.(00:00) INTRO(00:57) THANK YOU FOUNDATION(01:38) THANK YOU CAKE WALLET(02:43) Vibe Cornin'(17:42) PRIME TIME(19:58) Notes From The Inside: The Skinwalker(23:43) Motorola Graphene(26:44) The Cyber Strategy(29:30) John "Lick" Daghita Arrested for Crypto Crimes(31:39) US Treasury Acknowledges Cryptocurrency 'Mixers'(33:50) Strike Obtains a Bit License (34:43) Bitaxe Touch Released(36:40) Bitwise to Donate $233,000 to BTC Open Source(37:32) BOOSTS(43:41) Tail Relay (45:02) Stealth Announced(47:39) The Big Cake 6.0.1 Release(48:41) The Rest of the Software Updates(52:14) Blixt Payment Pools(54:48) THANK YOU MYNYMBOX

Turbopuffer came out of a reading app.In 2022, Simon was helping his friends at Readwise scale their infra for a highly requested feature: article recommendations and semantic search. Readwise was paying ~$5k/month for their relational database and vector search would cost ~$20k/month making the feature too expensive to ship. In 2023 after mulling over the problem from Readwise, Simon decided he wanted to “build a search engine” which became Turbopuffer.We discuss:• Simon's path: Denmark → Shopify infra for nearly a decade → “angel engineering” across startups like Readwise, Replicate, and Causal → turbopuffer almost accidentally becoming a company • The Readwise origin story: building an early recommendation engine right after the ChatGPT moment, seeing it work, then realizing it would cost ~$30k/month for a company spending ~$5k/month total on infra and getting obsessed with fixing that cost structure • Why turbopuffer is “a search engine for unstructured data”: Simon's belief that models can learn to reason, but can't compress the world's knowledge into a few terabytes of weights, so they need to connect to systems that hold truth in full fidelity • The three ingredients for building a great database company: a new workload, a new storage architecture, and the ability to eventually support every query plan customers will want on their data • The architecture bet behind turbopuffer: going all in on object storage and NVMe, avoiding a traditional consensus layer, and building around the cloud primitives that only became possible in the last few years • Why Simon hated operating Elasticsearch at Shopify: years of painful on-call experience shaped his obsession with simplicity, performance, and eliminating state spread across multiple systems • The Cursor story: launching turbopuffer as a scrappy side project, getting an email from Cursor the next day, flying out after a 4am call, and helping cut Cursor's costs by 95% while fixing their per-user economics • The Notion story: buying dark fiber, tuning TCP windows, and eating cross-cloud costs because Simon refused to compromise on architecture just to close a deal faster • Why AI changes the build-vs-buy equation: it's less about whether a company can build search infra internally, and more about whether they have time especially if an external team can feel like an extension of their own • Why RAG isn't dead: coding companies still rely heavily on search, and Simon sees hybrid retrieval semantic, text, regex, SQL-style patterns becoming more important, not less • How agentic workloads are changing search: the old pattern was one retrieval call up front; the new pattern is one agent firing many parallel queries at once, turning search into a highly concurrent tool call • Why turbopuffer is reducing query pricing: agentic systems are dramatically increasing query volume, and Simon expects retrieval infra to adapt to huge bursts of concurrent search rather than a small number of carefully chosen calls • The philosophy of “playing with open cards”: Simon's habit of being radically honest with investors, including telling Lachy Groom he'd return the money if turbopuffer didn't hit PMF by year-end • The “P99 engineer”: Simon's framework for building a talent-dense company, rejecting by default unless someone on the team feels strongly enough to fight for the candidate —Simon Hørup Eskildsen• LinkedIn: https://www.linkedin.com/in/sirupsen• X: https://x.com/Sirupsen• https://sirupsen.com/aboutturbopuffer• https://turbopuffer.com/Full Video PodTimestamps00:00:00 The PMF promise to Lachy Groom00:00:25 Intro and Simon's background00:02:19 What turbopuffer actually is00:06:26 Shopify, Elasticsearch, and the pain behind the company00:10:07 The Readwise experiment that sparked turbopuffer00:12:00 The insight Simon couldn't stop thinking about00:17:00 S3 consistency, NVMe, and the architecture bet00:20:12 The Notion story: latency, dark fiber, and conviction00:25:03 Build vs. buy in the age of AI00:26:00 The Cursor story: early launch to breakout customer00:29:00 Why code search still matters00:32:00 Search in the age of agents00:34:22 Pricing turbopuffer in the AI era00:38:17 Why Simon chose Lachy Groom00:41:28 Becoming a founder on purpose00:44:00 The “P99 engineer” philosophy00:49:30 Bending software to your will00:51:13 The future of turbopuffer00:57:05 Simon's tea obsession00:59:03 Tea kits, X Live, and P99 LiveTranscriptSimon Hørup Eskildsen: I don't think I've said this publicly before, but I just called Lockey and was like, local Lockie. Like if this doesn't have PMF by the end of the year, like we'll just like return all the money to you. But it's just like, I don't really, we, Justine and I don't wanna work on this unless it's really working.So we want to give it the best shot this year and like we're really gonna go for it. We're gonna hire a bunch of people. We're just gonna be honest with everyone. Like when I don't know how to play a game, I just play with open cards. Lockey was the only person that didn't, that didn't freak out. He was like, I've never heard anyone say that before.Alessio: Hey everyone, welcome to the Leading Space podcast. This is Celesio Pando, Colonel Laz, and I'm joined by Swix, editor of Leading Space.swyx: Hello. Hello, uh, we're still, uh, recording in the Ker studio for the first time. Very excited. And today we are joined by Simon Eski. Of Turbo Farer welcome.Simon Hørup Eskildsen: Thank you so much for having me.swyx: Turbo Farer has like really gone on a huge tear, and I, I do have to mention that like you're one of, you're not my newest member of the Danish AHU Mafia, where like there's a lot of legendary programmers that have come out of it, like, uh, beyond Trotro, Rasmus, lado Berg and the V eight team and, and Google Maps team.Uh, you're mostly a Canadian now, but isn't that interesting? There's so many, so much like strong Danish presence.Simon Hørup Eskildsen: Yeah, I was writing a post, um, not that long ago about sort of the influences. So I grew up in Denmark, right? I left, I left when, when I was 18 to go to Canada to, to work at Shopify. Um, and so I, like, I've, I would still say that I feel more Danish than, than Canadian.This is also the weird accent. I can't say th because it, this is like, I don't, you know, my wife is also Canadian, um, and I think. I think like one of the things in, in Denmark is just like, there's just such a ruthless pragmatism and there's also a big focus on just aesthetics. Like, they're like very, people really care about like where, what things look like.Um, and like Canada has a lot of attributes, US has, has a lot of attributes, but I think there's been lots of the great things to carry. I don't know what's in the water in Ahu though. Um, and I don't know that I could be considered part of the Mafi mafia quite yet, uh, compared to the phenomenal individuals we just mentioned.Barra OV is also, uh, Danish Canadian. Okay. Yeah. I don't know where he lives now, but, and he's the PHP.swyx: Yeah. And obviously Toby German, but moved to Canada as well. Yes. Like this is like import that, uh, that, that is an interesting, um, talent move.Alessio: I think. I would love to get from you. Definition of Turbo puffer, because I think you could be a Vector db, which is maybe a bad word now in some circles, you could be a search engine.It's like, let, let's just start there and then we'll maybe run through the history of how you got to this point.Simon Hørup Eskildsen: For sure. Yeah. So Turbo Puffer is at this point in time, a search engine, right? We do full text search and we do vector search, and that's really what we're specialized in. If you're trying to do much more than that, like then this might not be the right place yet, but Turbo Buffer is all about search.The other way that I think about it is that we can take all of the world's knowledge, all of the exabytes and exabytes of data that there is, and we can use those tokens to train a model, but we can't compress all of that into a few terabytes of weights, right? Compress into a few terabytes of weights, how to reason with the world, how to make sense of the knowledge.But we have to somehow connect it to something externally that actually holds that like in full fidelity and truth. Um, and that's the thing that we intend to become. Right? That's like a very holier than now kind of phrasing, right? But being the search engine for unstructured, unstructured data is the focus of turbo puffer at this point in time.Alessio: And let's break down. So people might say, well, didn't Elasticsearch already do this? And then some other people might say, is this search on my data, is this like closer to rag than to like a xr, like a public search thing? Like how, how do you segment like the different types of search?Simon Hørup Eskildsen: The way that I generally think about this is like, there's a lot of database companies and I think if you wanna build a really big database company, sort of, you need a couple of ingredients to be in the air.We don't, which only happens roughly every 15 years. You need a new workload. You basically need the ambition that every single company on earth is gonna have data in your database. Multiple times you look at a company like Oracle, right? You will, like, I don't think you can find a company on earth with a digital presence that it not, doesn't somehow have some data in an Oracle database.Right? And I think at this point, that's also true for Snowflake and Databricks, right? 15 years later it's, or even more than that, there's not a company on earth that doesn't, in. Or directly is consuming Snowflake or, or Databricks or any of the big analytics databases. Um, and I think we're in that kind of moment now, right?I don't think you're gonna find a company over the next few years that doesn't directly or indirectly, um, have all their data available for, for search and connect it to ai. So you need that new workload, like you need something to be happening where there's a new workload that causes that to happen, and that new workload is connecting very large amounts of data to ai.The second thing you need. The second condition to build a big database company is that you need some new underlying change in the storage architecture that is not possible from the databases that have come before you. If you look at Snowflake and Databricks, right, commoditized, like massive fleet of HDDs, like that was not possible in it.It just wasn't in the air in the nineties, right? So you just didn't, we just didn't build these systems. S3 and and and so on was not around. And I think the architecture that is now possible that wasn't possible 15 years ago is to go all in on NVME SSDs. It requires a particular type of architecture for the database that.It's difficult to retrofit onto the databases that are already there, including the ones you just mentioned. The second thing is to go all in on OIC storage, more so than we could have done 15 years ago. Like we don't have a consensus layer, we don't really have anything. In fact, you could turn off all the servers that Turbo Buffer has, and we would not lose any data because we have all completely all in on OIC storage.And this means that our architecture is just so simple. So that's the second condition, right? First being a new workload. That means that every company on earth, either indirectly or directly, is using your database. Second being, there's some new storage architecture. That means that the, the companies that have come before you can do what you're doing.I think the third thing you need to do to build a big database company is that over time you have to implement more or less every Cory plan on the data. What that means is that you. You can't just get stuck in, like, this is the one thing that a database does. It has to be ever evolving because when someone has data in the database, they over time expect to be able to ask it more or less every question.So you have to do that to get the storage architecture to the limit of what, what it's capable of. Those are the three conditions.swyx: I just wanted to get a little bit of like the motivation, right? Like, so you left Shopify, you're like principal, engineer, infra guy. Um, you also head of kernel labs, uh, inside of Shopify, right?And then you consulted for read wise and that it kind of gave you that, that idea. I just wanted you to tell that story. Um, maybe I, you've told it before, but, uh, just introduce the, the. People to like the, the new workload, the sort of aha moment for turbo PufferSimon Hørup Eskildsen: For sure. So yeah, I spent almost a decade at Shopify.I was on the infrastructure team, um, from the fairly, fairly early days around 2013. Um, at the time it felt like it was growing so quickly and everything, all the metrics were, you know, doubling year on year compared to the, what companies are contending with today. It's very cute in growth. I feel like lot some companies are seeing that month over month.Um, of course. Shopify compound has been compounding for a very long time now, but I spent a decade doing that and the majority of that was just make sure the site is up today and make sure it's up a year from now. And a lot of that was really just the, um, you know, uh, the Kardashians would drive very, very large amounts of, of data to, to uh, to Shopify as they were rotating through all the merch and building out their businesses.And we just needed to make sure we could handle that. Right. And sometimes these were events, a million requests per second. And so, you know, we, we had our own data centers back in the day and we were moving to the cloud and there was so much sharding work and all of that that we were doing. So I spent a decade just scaling databases ‘cause that's fundamentally what's the most difficult thing to scale about these sites.The database that was the most difficult for me to scale during that time, and that was the most aggravating to be on call for, was elastic search. It was very, very difficult to deal with. And I saw a lot of projects that were just being held back in their ambition by using it.swyx: And I mean, self-hosted.Self-hosted. ‘causeSimon Hørup Eskildsen: it's, yeah, and it commercial, this is like 2015, right? So it's like a very particular vintage. Right. It's probably better at a lot of these things now. Um, it was difficult to contend with and I'm just like, I just think about it. It's an inverted index. It should be good at these kinds of queries and do all of this.And it was, we, we often couldn't get it to do exactly what we needed to do or basically get lucine to do, like expose lucine raw to, to, to what we needed to do. Um, so that was like. Just something that we did on the side and just panic scaled when we needed to, but not a particular focus of mine. So I left, and when I left, I, um, wasn't sure exactly what I wanted to do.I mean, it spent like a decade inside of the same company. I'd like grown up there. I started working there when I was 18.swyx: You only do Rails?Simon Hørup Eskildsen: Yeah. I mean, yeah. Rails. And he's a Rails guy. Uh, love Rails. So good. Um,Alessio: we all wish we could still work in Rails.swyx: I know know. I know, but some, I tried learning Ruby.It's just too much, like too many options to do the same thing. It's, that's my, I I know there's a, there's a way to do it.Simon Hørup Eskildsen: I love it. I don't know that I would use it now, like given cloud code and, and, and cursor and everything, but, um, um, but still it, like if I'm just sitting down and writing a teal code, that's how I think.But anyway, I left and I wasn't, I talked to a couple companies and I was like, I don't. I need to see a little bit more of the world here to know what I'm gonna like focus on next. Um, and so what I decided is like I was gonna, I called it like angel engineering, where I just hopped around in my friend's companies in three months increments and just helped them out with something.Right. And, and just vested a bit of equity and solved some interesting infrastructure problem. So I worked with a bunch of companies at the time, um, read Wise was one of them. Replicate was one of them. Um, causal, I dunno if you've tried this, it's like a, it's a spreadsheet engine Yeah. Where you can do distribution.They sold recently. Yeah. Um, we've been, we used that in fp and a at, um, at Turbo Puffer. Um, so a bunch of companies like this and it was super fun. And so we're the Chachi bt moment happened, I was with. With read Wise for a stint, we were preparing for the reader launch, right? Which is where you, you cue articles and read them later.And I was just getting their Postgres up to snuff, like, which basically boils down to tuning, auto vacuum. So I was doing that and then this happened and we were like, oh, maybe we should build a little recommendation engine and some features to try to hook in the lms. They were not that good yet, but it was clear there was something there.And so I built a small recommendation engine just, okay, let's take the articles that you've recently read, right? Like embed all the articles and then do recommendations. It was good enough that when I ran it on one of the co-founders of Rey's, like I found out that I got articles about, about having a child.I'm like, oh my God, I didn't, I, I didn't know that, that they were having a child. I wasn't sure what to do with that information, but the recommendation engine was good enough that it was suggesting articles, um, about that. And so there was, there was recommendations and uh, it actually worked really well.But this was a company that was spending maybe five grand a month in total on all their infrastructure and. When I did the napkin math on running the embeddings of all the articles, putting them into a vector index, putting it in prod, it's gonna be like 30 grand a month. That just wasn't tenable. Right?Like Read Wise is a proudly bootstrapped company and it's paying 30 grand for infrastructure for one feature versus five. It just wasn't tenable. So sort of in the bucket of this is useful, it's pretty good, but let us, let's return to it when the costs come down.swyx: Did you say it grows by feature? So for five to 30 is by the number of, like, what's the, what's the Scaling factor scale?It scales by the number of articles that you embed.Simon Hørup Eskildsen: It does, but what I meant by that is like five grand for like all of the other, like the Heroku, dinos, Postgres, like all the other, and this then storage is 30. Yeah. And then like 30 grand for one feature. Right. Which is like, what other articles are related to this one.Um, so it was just too much right to, to power everything. Their budget would've been maybe a few thousand dollars, which still would've been a lot. And so we put it in a bucket of, okay, we're gonna do that later. We'll wait, we will wait for the cost to come down. And that haunted me. I couldn't stop thinking about it.I was like, okay, there's clearly some latent demand here. If the cost had been a 10th, we would've shipped it and. This was really the only data point that I had. Right. I didn't, I, I didn't, I didn't go out and talk to anyone else. It was just so I started reading Right. I couldn't, I couldn't help myself.Like I didn't know what like a vector index is. I, I generally barely do about how to generate the vectors. There was a lot of hype about, this is a early 2023. There was a lot of hype about vector databases. There were raising a lot of money and it's like, I really didn't know anything about it. It's like, you know, trying these little models, fine tuning them.Like I was just trying to get sort of a lay of the land. So I just sat down. I have this. A GitHub repository called Napkin Math. And on napkin math, there's just, um, rows of like, oh, this is how much bandwidth. Like this is how many, you know, you can do 25 gigabytes per second on average to dram. You can do, you know, five gigabytes per second of rights to an SSD, blah blah.All of these numbers, right? And S3, how many you could do per, how much bandwidth can you drive per connection? I was just sitting down, I was like, why hasn't anyone build a database where you just put everything on O storage and then you puff it into NVME when you use the data and you puff it into dram if you're, if you're querying it alive, it's just like, this seems fairly obvious and you, the only real downside to that is that if you go all in on o storage, every right will take a couple hundred milliseconds of latency, but from there it's really all upside, right?You do the first go, it takes half a second. And it sort of occurred to me as like, well. The architecture is really good for that. It's really good for AB storage, it's really good for nvm ESSD. It's, well, you just couldn't have done that 10 years ago. Back to what we were talking about before. You really have to build a database where you have as few round trips as possible, right?This is how CPUs work today. It's how NVM E SSDs work. It's how as, um, as three works that you want to have a very large amount of outstanding requests, right? Like basically go to S3, do like that thousand requests to ask for data in one round trip. Wait for that. Get that, like, make a new decision. Do it again, and try to do that maybe a maximum of three times.But no databases were designed that way within NVME as is ds. You can drive like within, you know, within a very low multiple of DRAM bandwidth if you use it that way. And same with S3, right? You can fully max out the network card, which generally is not maxed out. You get very, like, very, very good bandwidth.And, but no one had built a database like that. So I was like, okay, well can't you just, you know, take all the vectors right? And plot them in the proverbial coordinate system. Get the clusters, put a file on S3 called clusters, do json, and then put another file for every cluster, you know, cluster one, do js O cluster two, do js ON you know that like it's two round trips, right?So you get the clusters, you find the closest clusters, and then you download the cluster files like the, the closest end. And you could do this in two round trips.swyx: You were nearest neighbors locally.Simon Hørup Eskildsen: Yes. Yes. And then, and you would build this, this file, right? It's just like ultra simplistic, but it's not a far shot from what the first version of Turbo Buffer was.Why hasn't anyone done thatAlessio: in that moment? From a workload perspective, you're thinking this is gonna be like a read heavy thing because they're doing recommend. Like is the fact that like writes are so expensive now? Oh, with ai you're actually not writing that much.Simon Hørup Eskildsen: At that point I hadn't really thought too much about, well no actually it was always clear to me that there was gonna be a lot of rights because at Shopify, the search clusters were doing, you know, I don't know, tens or hundreds of crew QPS, right?‘cause you just have to have a human sit and type in. But we did, you know, I don't know how many updates there were per second. I'm sure it was in the millions, right into the cluster. So I always knew there was like a 10 to 100 ratio on the read write. In the read wise use case. It's, um, even, even in the read wise use case, there'd probably be a lot fewer reads than writes, right?There's just a lot of churn on the amount of stuff that was going through versus the amount of queries. Um, I wasn't thinking too much about that. I was mostly just thinking about what's the fundamentally cheapest way to build a database in the cloud today using the primitives that you have available.And this is it, right? You just, now you have one machine and you know, let's say you have a terabyte of data in S3, you paid the $200 a month for that, and then maybe five to 10% of that data and needs to be an NV ME SSDs and less than that in dram. Well. You're paying very, very little to inflate the data.swyx: By the way, when you say no one else has done that, uh, would you consider Neon, uh, to be on a similar path in terms of being sort of S3 first and, uh, separating the compute and storage?Simon Hørup Eskildsen: Yeah, I think what I meant with that is, uh, just build a completely new database. I don't know if we were the first, like it was very much, it was, I mean, I, I hadn't, I just looked at the napkin math and was like, this seems really obvious.So I'm sure like a hundred people came up with it at the same time. Like the light bulb and every invention ever. Right. It was just in the air. I think Neon Neon was, was first to it. And they're trying, they're retrofitted onto Postgres, right? And then they built this whole architecture where you have, you have it in memory and then you sort of.You know, m map back to S3. And I think that was very novel at the time to do it for, for all LTP, but I hadn't seen a database that was truly all in, right. Not retrofitting it. The database felt built purely for this no consensus layer. Even using compare and swap on optic storage to do consensus. I hadn't seen anyone go that all in.And I, I mean, there, there, I'm sure there was someone that did that before us. I don't know. I was just looking at the napkin mathswyx: and, and when you say consensus layer, uh, are you strongly relying on S3 Strong consistency? You are. Okay.SoSimon Hørup Eskildsen: that is your consensus layer. It, it is the consistency layer. And I think also, like, this is something that most people don't realize, but S3 only became consistent in December of 2020.swyx: I remember this coming out during COVID and like people were like, oh, like, it was like, uh, it was just like a free upgrade.Simon Hørup Eskildsen: Yeah.swyx: They were just, they just announced it. We saw consistency guys and like, okay, cool.Simon Hørup Eskildsen: And I'm sure that they just, they probably had it in prod for a while and they're just like, it's done right.And people were like, okay, cool. But. That's a big moment, right? Like nv, ME SSDs, were also not in the cloud until around 2017, right? So you just sort of had like 2017 nv, ME SSDs, and people were like, okay, cool. There's like one skew that does this, whatever, right? Takes a few years. And then the second thing is like S3 becomes consistent in 2020.So now it means you don't have to have this like big foundation DB or like zookeeper or whatever sitting there contending with the keys, which is how. You know, that's what Snowflake and others have do so muchswyx: for goneSimon Hørup Eskildsen: Exactly. Just gone. Right? And so just push to the, you know, whatever, how many hundreds of people they have working on S3 solved and then compare and swap was not in S3 at this point in time,swyx: by the way.Uh, I don't know what that is, so maybe you wanna explain. Yes. Yeah.Simon Hørup Eskildsen: Yes. So, um, what Compare and swap is, is basically, you can imagine that if you have a database, it might be really nice to have a file called metadata json. And metadata JSON could say things like, Hey, these keys are here and this file means that, and there's lots of metadata that you have to operate in the database, right?But that's the simplest way to do it. So now you have might, you might have a lot of servers that wanna change the metadata. They might have written a file and want the metadata to contain that file. But you have a hundred nodes that are trying to contend with this metadata that JSON well, what compare and Swap allows you to do is basically just you download the file, you make the modifications, and then you write it only if it hasn't changed.While you did the modification and if not you retry. Right? Should just have this retry loops. Now you can imagine if you have a hundred nodes doing that, it's gonna be really slow, but it will converge over time. That primitive was not available in S3. It wasn't available in S3 until late 2024, but it was available in GCP.The real story of this is certainly not that I sat down and like bake brained it. I was like, okay, we're gonna start on GCS S3 is gonna get it later. Like it was really not that we started, we got really lucky, like we started on GCP and we started on GCP because tur um, Shopify ran on GCP. And so that was the platform I was most available with.Right. Um, and I knew the Canadian team there ‘cause I'd worked with them at Shopify and so it was natural for us to start there. And so when we started building the database, we're like, oh yeah, we have to build a, we really thought we had to build a consensus layer, like have a zookeeper or something to do this.But then we discovered the compare and swap. It's like, oh, we can kick the can. Like we'll just do metadata r json and just, it's fine. It's probably fine. Um, and we just kept kicking the can until we had very, very strong conviction in the idea. Um, and then we kind of just hinged the company on the fact that S3 probably was gonna get this, it started getting really painful in like mid 2024.‘cause we were closing deals with, um, um, notion actually that was running in AWS and we're like, trust us. You, you really want us to run this in GCP? And they're like, no, I don't know about that. Like, we're running everything in AWS and the latency across the cloud were so big and we had so much conviction that we bought like, you know, dark fiber between the AWS regions in, in Oregon, like in the InterExchange and GCP is like, we've never seen a startup like do like, what's going on here?And we're just like, no, we don't wanna do this. We were tuning like TCP windows, like everything to get the latency down ‘cause we had so high conviction in not doing like a, a metadata layer on S3. So those were the three conditions, right? Compare and swap. To do metadata, which wasn't in S3 until late 2024 S3 being consistent, which didn't happen until December, 2020.Uh, 2020. And then NVMe ssd, which didn't end in the cloud until 2017.swyx: I mean, in some ways, like a very big like cloud success story that like you were able to like, uh, put this all together, but also doing things like doing, uh, bind our favor. That that actually is something I've never heard.Simon Hørup Eskildsen: I mean, it's very common when you're a big company, right?You're like connecting your own like data center or whatever. But it's like, it was uniquely just a pain with notion because the, um, the org, like most of the, like if you're buying in Ashburn, Virginia, right? Like US East, the Google, like the GCP and, and AWS data centers are like within a millisecond on, on each other, on the public exchanges.But in Oregon uniquely, the GCP data center sits like a couple hundred kilometers, like east of Portland and the AWS region sits in Portland, but the network exchange they go through is through Seattle. So it's like a full, like 14 milliseconds or something like that. And so anyway, yeah. It's, it's, so we were like, okay, we can't, we have to go through an exchange in Portland.Yeah. Andswyx: you'd rather do this than like run your zookeeper and likeSimon Hørup Eskildsen: Yes. Way rather. It doesn't have state, I don't want state and two systems. Um, and I think all that is just informed by Justine, my co-founder and I had just been on call for so long. And the worst outages are the ones where you have state in multiple places that's not syncing up.So it really came from, from a a, like just a, a very pure source of pain, of just imagining what we would be Okay. Being woken up at 3:00 AM about and having something in zookeeper was not one of them.swyx: You, you're talking to like a notion or something. Do they care or do they just, theySimon Hørup Eskildsen: just, they care about latency.swyx: They latency cost. That's it.Simon Hørup Eskildsen: They just cared about latency. Right. And we just absorbed the cost. We're just like, we have high conviction in this. At some point we can move them to AWS. Right. And so we just, we, we'll buy the fiber, it doesn't matter. Right. Um, and it's like $5,000. Usually when you buy fiber, you buy like multiple lines.And we're like, we can only afford one, but we will just test it that when it goes over the public internet, it's like super smooth. And so we did a lot of, anyway, it's, yeah, it was, that's cool.Alessio: You can imagine talking to the GCP rep and it's like, no, we're gonna buy, because we know we're gonna turn, we're gonna turn from you guys and go to AWS in like six months.But in the meantime we'll do this. It'sSimon Hørup Eskildsen: a, I mean, like they, you know, this workload still runs on GCP for what it's worth. Right? ‘cause it's so, it was just, it was so reliable. So it was never about moving off GCP, it was just about honesty. It was just about giving notion the latency that they deserved.Right. Um, and we didn't want ‘em to have to care about any of this. We also, they were like, oh, egress is gonna be bad. It was like, okay, screw it. Like we're just gonna like vvc, VPC peer with you and AWS we'll eat the cost. Yeah. Whatever needs to be done.Alessio: And what were the actual workloads? Because I think when you think about ai, it's like 14 milliseconds.It's like really doesn't really matter in the scheme of like a model generation.Simon Hørup Eskildsen: Yeah. We were told the latency, right. That we had to beat. Oh, right. So, so we're just looking at the traces. Right. And then sort of like hand draw, like, you know, kind of like looking at the trace and then thinking what are the other extensions of the trace?Right. And there's a lot more to it because it's also when you have, if you have 14 versus seven milliseconds, right. You can fit in another round trip. So we had to tune TCP to try to send as much data in every round trip, prewarm all the connections. And there was, there's a lot of things that compound from having these kinds of round trips, but in the grand scheme it was just like, well, we have to beat the latency of whatever we're up against.swyx: Which is like they, I mean, notion is a database company. They could have done this themselves. They, they do lots of database engineering themselves. How do you even get in the door? Like Yeah, just like talk through that kind of.Simon Hørup Eskildsen: Last time I was in San Francisco, I was talking to one of the engineers actually, who, who was one of our champions, um, at, AT Notion.And they were, they were just trying to make sure that the, you know, per user cost matched the economics that they needed. You know, Uhhuh like, it's like the way I think about, it's like I have to earn a return on whatever the clouds charge me and then my customers have to earn a return on that. And it's like very simple, right?And so there has to be gross margin all the way up and that's how you build the product. And so then our customers have to make the right set of trade off the turbo Puffer makes, and if they're happy with that, that's great.swyx: Do you feel like you're competing with build internally versus buy or buy versus buy?Simon Hørup Eskildsen: Yeah, so, sorry, this was all to build up to your question. So one of the notion engineers told me that they'd sat and probably on a napkin, like drawn out like, why hasn't anyone built this? And then they saw terrible. It was like, well, it literally that. So, and I think AI has also changed the buy versus build equation in terms of, it's not really about can we build it, it's about do we have time to build it?I think they like, I think they felt like, okay, if this is a team that can do that and they, they feel enough like an extension of our team, well then we can go a lot faster, which would be very, very good for them. And I mean, they put us through the, through the test, right? Like we had some very, very long nights to to, to do that POC.And they were really our biggest, our second big customer off the cursor, which also was a lot of late nights. Right.swyx: Yeah. That, I mean, should we go into that story? The, the, the sort of Chris's story, like a lot, um, they credit you a lot for. Working very closely with them. So I just wanna hear, I've heard this, uh, story from Sole's point of view, but like, I'm curious what, what it looks like from your side.Simon Hørup Eskildsen: I actually haven't heard it from Sole's point of view, so maybe you can now cross reference it. The way that I remember it was that, um, the day after we launched, which was just, you know, I'd worked the whole summer on, on the first version. Justine wasn't part of it yet. ‘cause I just, I didn't tell anyone that summer that I was working on this.I was just locked in on building it because it's very easy otherwise to confuse talking about something to actually doing it. And so I was just like, I'm not gonna do that. I'm just gonna do the thing. I launched it and at this point turbo puffer is like a rust binary running on a single eight core machine in a T Marks instance.And me deploying it was like looking at the request log and then like command seeing it or like control seeing it to just like, okay, there's no request. Let's upgrade the binary. Like it was like literally the, the, the, the scrappiest thing. You could imagine it was on purpose because just like at Shopify, we did that all the time.Like, we like move, like we ran things in tux all the time to begin with. Before something had like, at least the inkling of PMF, it was like, okay, is anyone gonna hear about this? Um, and one of the cursor co-founders Arvid reached out and he just, you know, the, the cursor team are like all I-O-I-I-M-O like, um, contenders, right?So they just speak in bullet points and, and facts. It was like this amazing email exchange just of, this is how many QPS we have, this is what we're paying, this is where we're going, blah, blah, blah. And so we're just conversing in bullet points. And I tried to get a call with them a few times, but they were, so, they were like really writing the PMF bowl here, just like late 2023.And one time Swally emails me at like five. What was it like 4:00 AM Pacific time saying like, Hey, are you open for a call now? And I'm on the East coast and I, it was like 7:00 AM I was like, yeah, great, sure, whatever. Um, and we just started talking and something. Then I didn't know anything about sales.It was something that just comp compelled me. I have to go see this team. Like, there's something here. So I, I went to San Francisco and I went to their office and the way that I remember it is that Postgres was down when I showed up at the office. Did SW tell you this? No. Okay. So Postgres was down and so it's like they were distracting with that.And I was trying my best to see if I could, if I could help in any way. Like I knew a little bit about databases back to tuning, auto vacuum. It was like, I think you have to tune out a vacuum. Um, and so we, we talked about that and then, um, that evening just talked about like what would it look like, what would it look like to work with us?And I just said. Look like we're all in, like we will just do what we'll do whatever, whatever you tell us, right? They migrated everything over the next like week or two, and we reduced their cost by 95%, which I think like kind of fixed their per user economics. Um, and it solved a lot of other things. And we were just, Justine, this is also when I asked Justine to come on as my co-founder, she was the best engineer, um, that I ever worked with at Shopify.She lived two blocks away and we were just, okay, we're just gonna get this done. Um, and we did, and so we helped them migrate and we just worked like hell over the next like month or two to make sure that we were never an issue. And that was, that was the cursor story. Yeah.swyx: And, and is code a different workload than normal text?I, I don't know. Is is it just text? Is it the same thing?Simon Hørup Eskildsen: Yeah, so cursor's workload is basically, they, um, they will embed the entire code base, right? So they, they will like chunk it up in whatever they would, they do. They have their own embedding model, um, which they've been public about. Um, and they find that on, on, on their evals.It. There's one of their evals where it's like a 25% improvement on a very particular workload. They have a bunch of blog posts about it. Um, I think it works best on larger code basis, but they've trained their own embedding model to do this. Um, and so you'll see it if you use the cursor agent, it will do searches.And they've also been public around, um, how they've, I think they post trained their model to be very good at semantic search as well. Um, and that's, that's how they use it. And so it's very good at, like, can you find me on the code that's similar to this, or code that does this? And just in, in this queries, they also use GR to supplement it.swyx: Yeah.Simon Hørup Eskildsen: Um, of courseswyx: it's been a big topic of discussion like, is rag dead because gr you know,Simon Hørup Eskildsen: and I mean like, I just, we, we see lots of demand from the coding company to ethicsswyx: search in every part. Yes.Simon Hørup Eskildsen: Uh, we, we, we see demand. And so, I mean, I'm. I like case studies. I don't like, like just doing like thought pieces on this is where it's going.And like trying to be all macroeconomic about ai, that's has turned out to be a giant waste of time because no one can really predict any of this. So I just collect case studies and I mean, cursor has done a great job talking about what they're doing and I hope some of the other coding labs that use Turbo Puffer will do the same.Um, but it does seem to make a difference for particular queries. Um, I mean we can also do text, we can also do RegX, but I should also say that cursors like security posture into Tur Puffer is exceptional, right? They have their own embedding model, which makes it very difficult to reverse engineer. They obfuscate the file paths.They like you. It's very difficult to learn anything about a code base by looking at it. And the other thing they do too is that for their customers, they encrypt it with their encryption keys in turbo puffer's bucket. Um, so it's, it's, it's really, really well designed.swyx: And so this is like extra stuff they did to work with you because you are not part of Cursor.Exactly like, and this is just best practice when working in any database, not just you guys. Okay. Yeah, that makes sense. Yeah. I think for me, like the, the, the learning is kind of like you, like all workloads are hybrid. Like, you know, uh, like you, you want the semantic, you want the text, you want the RegX, you want sql.I dunno. Um, but like, it's silly to like be all in on like one particularly query pattern.Simon Hørup Eskildsen: I think, like I really like the way that, um, um, that swally at cursor talks about it, which is, um, I'm gonna butcher it here. Um, and you know, I'm a, I'm a database scalability person. I'm not a, I, I dunno anything about training models other than, um, what the internet tells me and what.The way he describes is that this is just like cash compute, right? It's like you have a point in time where you're looking at some particular context and focused on some chunk and you say, this is the layer of the neural net at this point in time. That seems fundamentally really useful to do cash compute like that.And, um, how the value of that will change over time. I'm, I'm not sure, but there seems to be a lot of value in that.Alessio: Maybe talk a bit about the evolution of the workload, because even like search, like maybe two years ago it was like one search at the start of like an LLM query to build the context. Now you have a gentech search, however you wanna call it, where like the model is both writing and changing the code and it's searching it again later.Yeah. What are maybe some of the new types of workloads or like changes you've had to make to your architecture for it?Simon Hørup Eskildsen: I think you're right. When I think of rag, I think of, Hey, there's an 8,000 token, uh, context window and you better make it count. Um, and search was a way to do that now. Everything is moving towards the, just let the agent do its thing.Right? And so back to the thing before, right? The LLM is very good at reasoning with the data, and so we're just the tool call, right? And that's increasingly what we see our customers doing. Um, what we're seeing more demand from, from our customers now is to do a lot of concurrency, right? Like Notion does a ridiculous amount of queries in every round trip just because they can't.And I'm also now, when I use the cursor agent, I also see them doing more concurrency than I've ever seen before. So a bit similar to how we designed a database to drive as much concurrency in every round trip as possible. That's also what the agents are doing. So that's new. It means just an enormous amount of queries all at once to the dataset while it's warm in as few turns as possible.swyx: Can I clarify one thing on that?Simon Hørup Eskildsen: Yes.swyx: Is it, are they batching multiple users or one user is driving multiple,Simon Hørup Eskildsen: one user driving multiple, one agent driving.swyx: It's parallel searching a bunch of things.Simon Hørup Eskildsen: Exactly.swyx: Yeah. Yeah, exactly. So yeah, the clinician also did, did this for the fast context thing, like eight parallel at once.Simon Hørup Eskildsen: Yes.swyx: And, and like an interesting problem is, well, how do you make sure you have enough diversity so you're not making the the same request eight times?Simon Hørup Eskildsen: And I think like that's probably also where the hybrid comes in, where. That's another way to diversify. It's a completely different way to, to do the search.That's a big change, right? So before it was really just like one call and then, you know, the LLM took however many seconds to return, but now we just see an enormous amount of queries. So the, um, we just see more queries. So we've like tried to reduce query, we've reduced query pricing. Um, this is probably the first time actually I'm saying that, but the query pricing is being reduced, like five x.Um, and we'll probably try to reduce it even more to accommodate some of these workloads of just doing very large amounts of queries. Um, that's one thing that's changed. I think the right, the right ratio is still very high, right? Like there's still a, an enormous amount of rights per read, but we're starting probably to see that change if people really lean into this pattern.Alessio: Can we talk a little bit about the pricing? I'm curious, uh, because traditionally a database would charge on storage, but now you have the token generation that is so expensive, where like the actual. Value of like a good search query is like much higher because they're like saving inference time down the line.How do you structure that as like, what are people receptive to on the other side too?Simon Hørup Eskildsen: Yeah. I, the, the turbo puffer pricing in the beginning was just very simple. The pricing on these on for search engines before Turbo Puffer was very server full, right? It was like, here's the vm, here's the per hour cost, right?Great. And I just sat down with like a piece of paper and said like, if Turbo Puffer was like really good, this is probably what it would cost with a little bit of margin. And that was the first pricing of Turbo Puffer. And I just like sat down and I was like, okay, like this is like probably the storage amp, but whenever on a piece of paper I, it was vibe pricing.It was very vibe price, and I got it wrong. Oh. Um, well I didn't get it wrong, but like Turbo Puffer wasn't at the first principle pricing, right? So when Cursor came on Turbo Puffer, it was like. Like, I didn't know any VCs. I didn't know, like I was just like, I don't know, I didn't know anything about raising money or anything like that.I just saw that my GCP bill was, was high, was a lot higher than the cursor bill. So Justine and I was just like, well, we have to optimize it. Um, and I mean, to the chagrin now of, of it, of, of the VCs, it now means that we're profitable because we've had so much pricing pressure in the beginning. Because it was running on my credit card and Justine and I had spent like, like tens of thousands of dollars on like compute bills and like spinning off the company and like very like, like bad Canadian lawyers and like things like to like get all of this done because we just like, we didn't know.Right. If you're like steeped in San Francisco, you're just like, you just know. Okay. Like you go out, raise a pre-seed round. I, I never heard a word pre-seed at this point in time.swyx: When you had Cursor, you had Notion you, you had no funding.Simon Hørup Eskildsen: Um, with Cursor we had no funding. Yeah. Um, by the time we had Notion Locke was, Locke was here.Yeah. So it was really just, we vibe priced it 100% from first Principles, but it wasn't, it, it was not performing at first principles, so we just did everything we could to optimize it in the beginning for that, so that at least we could have like a 5% margin or something. So I wasn't freaking out because Cursor's bill was also going like this as they were growing.And so my liability and my credit limit was like actively like calling my bank. It was like, I need a bigger credit. Like it was, yeah. Anyway, that was the beginning. Yeah. But the pricing was, yeah, like storage rights and query. Right. And the, the pricing we have today is basically just that pricing with duct tape and spit to try to approach like, you know, like a, as a margin on the physical underlying hardware.And we're doing this year, you're gonna see more and more pricing changes from us. Yeah.swyx: And like is how much does stuff like VVC peering matter because you're working in AWS land where egress is charged and all that, you know.Simon Hørup Eskildsen: We probably don't like, we have like an enterprise plan that just has like a base fee because we haven't had time to figure out SKU pricing for all of this.Um, but I mean, yeah, you can run turbo puffer either in SaaS, right? That's what Cursor does. You can run it in a single tenant cluster. So it's just you. That's what Notion does. And then you can run it in, in, in BYOC where everything is inside the customer's VPC, that's what an for example, philanthropic does.swyx: What I'm hearing is that this is probably the best CRO job for somebody who can come in and,Simon Hørup Eskildsen: I mean,swyx: help you with this.Simon Hørup Eskildsen: Um, like Turbo Puffer hired, like, I don't know what, what number this was, but we had a full-time CFO as like the 12th hire or something at Turbo Puffer, um, I think I hear are a lot of comp.I don't know how they do it. Like they have a hundred employees and not a CFO. It's like having a CFO is like a runningswyx: business man. Like, you know,Simon Hørup Eskildsen: it's so good. Yeah, like money Mike, like he just, you know, just handles the money and a lot of the business stuff and so he came in and just hopped with a lot of the operational side of the business.So like C-O-O-C-F-O, like somewhere in between.swyx: Just as quick mention of Lucky, just ‘cause I'm curious, I've met Lock and like, he's obviously a very good investor and now on physical intelligence, um, I call it generalist super angel, right? He invests in everything. Um, and I always wonder like, you know, is there something appealing about focusing on developer tooling, focusing on databases, going like, I've invested for 10 years in databases versus being like a lock where he can maybe like connect you to all the customers that you need.Simon Hørup Eskildsen: This is an excellent question. No, no one's asked me this. Um, why lockey? Because. There was a couple of people that we were talking to at the time and when we were raising, we were almost a little, we were like a bit distressed because one of our, one of our peers had just launched something that was very similar to Turbo Puffer.And someone just gave me the advice at the time of just choose the person where you just feel like you can just pick up the phone and not prepare anything. And just be completely honest, and I don't think I've said this publicly before, but I just called Lockey and was like local Lockie. Like if this doesn't have PMF by the end of the year, like we'll just like return all the money to you.But it's just like, I don't really, we, Justine and I don't wanna work on this unless it's really working. So we want to give it the best shot this year and like we're really gonna go for it. We're gonna hire a bunch of people and we're just gonna be honest with everyone. Like when I don't know how to play a game, I just play with open cards and.Lockey was the only person that didn't, that didn't freak out. He was like, I've never heard anyone say that before. As I said, I didn't even know what a seed or pre-seed round was like before, probably even at this time. So I was just like very honest with him. And I asked him like, Lockie, have you ever have, have you ever invested in database company?He was just like, no. And at the time I was like, am I dumb? Like, but I think there was something that just like really drew me to Lockie. He is so authentic, so honest, like, and there was something just like, I just felt like I could just play like, just say everything openly. And that was, that was, I think that that was like a perfect match at the time, and, and, and honestly still is.He was just like, okay, that's great. This is like the most honest, ridiculous thing I've ever heard anyone say to me. But like that, like that, whyswyx: is this ridiculous? Say competitor launch, this may not work out. It wasSimon Hørup Eskildsen: more just like. If this doesn't work out, I'm gonna close up shop by the end of the mo the year, right?Like it was, I don't know, maybe it's common. I, I don't know. He told me it was uncommon. I don't know. Um, that's why we chose him and he'd been phenomenal. The other people were talking at the, at the time were database experts. Like they, you know, knew a lot about databases and Locke didn't, this turned out to be a phenomenal asset.Right. I like Justine and I know a lot about databases. The people that we hire know a lot about databases. What we needed was just someone who didn't know a lot about databases, didn't pretend to know a lot about databases, and just wanted to help us with candidates and customers. And he did. Yeah. And I have a list, right, of the investors that I have a relationship with, and Lockey has just performed excellent in the number of sub bullets of what we can attribute back to him.Just absolutely incredible. And when people talk about like no ego and just the best thing for the founder, I like, I don't think that anyone, like even my lawyer is like, yeah, Lockey is like the most friendly person you will find.swyx: Okay. This is my most glow recommendation I've ever heard.Alessio: He deserves it.He's very special.swyx: Yeah. Yeah. Yeah. Okay. Amazing.Alessio: Since you mentioned candidates, maybe we can talk about team building, you know, like, especially in sf, it feels like it's just easier to start a company than to join a company. Uh, I'm curious your experience, especially not being n SF full-time and doing something that is maybe, you know, a very low level of detail and technical detail.Simon Hørup Eskildsen: Yeah. So joining versus starting, I never thought that I would be a founder. I would start with it, like Turbo Puffer started as a blog post, and then it became a project and then sort of almost accidentally became a company. And now it feels like it's, it's like becoming a bigger company. That was never the intention.The intentions were very pure. It's just like, why hasn't anyone done this? And it's like, I wanna be the, like, I wanna be the first person to do it. I think some founders have this, like, I could never work for anyone else. I, I really don't feel that way. Like, it's just like, I wanna see this happen. And I wanna see it happen with some people that I really enjoy working with and I wanna have fun doing it and this, this, this has all felt very natural on that, on that sense.So it was never a like join versus versus versus found. It was just dis found me at the right moment.Alessio: Well I think there's an argument for, you should have joined Cursor, right? So I'm curious like how you evaluate it. Okay, I should actually go raise money and make this a company versus like, this is like a company that is like growing like crazy.It's like an interesting technical problem. I should just build it within Cursor and then they don't have to encrypt all this stuff. They don't have to obfuscate things. Like was that on your mind at all orSimon Hørup Eskildsen: before taking the, the small check from Lockie, I did have like a hard like look at myself in the mirror of like, okay, do I really want to do this?And because if I take the money, I really have to do it right. And so the way I almost think about it's like you kind of need to ha like you kind of need to be like fucked up enough to want to go all the way. And that was the conversation where I was like, okay, this is gonna be part of my life's journey to build this company and do it in the best way that I possibly can't.Because if I ask people to join me, ask people to get on the cap table, then I have an ultimate responsibility to give it everything. And I don't, I think some people, it doesn't occur to me that everyone takes it that seriously. And maybe I take it too seriously, I don't know. But that was like a very intentional moment.And so then it was very clear like, okay, I'm gonna do this and I'm gonna give it everything.Alessio: A lot of people don't take it this seriously. But,swyx: uh, let's talk about, you have this concept of the P 99 engineer. Uh, people are 10 x saying, everyone's saying, you know, uh, maybe engineers are out of a job. I don't know.But you definitely see a P 99 engineer, and I just want you to talk about it.Simon Hørup Eskildsen: Yeah, so the P 99 engineer was just a term that we started using internally to talk about candidates and talk about how we wanted to build the company. And you know, like everyone else is, like we want a talent dense company.And I think that's almost become trite at this point. What I credit the cursor founders a lot with is that they just arrived there from first principles of like, we just need a talent dense, um, talent dense team. And I think I've seen some teams that weren't talent dense and like seemed a counterfactual run, which if you've run in been in a large company, you will just see that like it's just logically will happen at a large company.Um, and so that was super important to me and Justine and it's very difficult to maintain. And so we just needed, we needed wording for it. And so I have a document called Traits of the P 99 Engineer, and it's a bullet point list. And I look at that list after every single interview that I do, and in every single recap that we do and every recap we end with.End with, um, some version of I'm gonna reject this candidate completely regardless of what the discourse was, because I wanna see people fight for this person because the default should not be, we're gonna hire this person. The default should be, we're definitely not hiring this person. And you know, if everyone was like, ah, maybe throw a punch, then this is not the right.swyx: Do, do you operate, like if there's one cha there must have at least one champion who's like, yes, I will put my career on, on, on the line for this. You know,Simon Hørup Eskildsen: I think career on the line,swyx: maybe a chair, butSimon Hørup Eskildsen: yeah. You know, like, um, I would say so someone needs to like, have both fists up and be like, I'd fight.Right? Yeah. Yeah. And if one person said, then, okay, let's do it. Right?swyx: Yeah.Simon Hørup Eskildsen: Um. It doesn't have to be absolutely everyone. Right? And like the interviews are always the sign that you're checking for different attributes. And if someone is like knocking it outta the park in every single attribute, that's, that's fairly rare.Um, but that's really important. And so the traits of the P 99 engineer, there's lots of them. There's also the traits of the p like triple nine engineer and the quadruple nine engineer. This is like, it's a long list.swyx: Okay.Simon Hørup Eskildsen: Um, I'll give you some samples, right. Of what we, what we look for. I think that the P 99 engineer has some history of having bent, like their trajectory or something to their will.Right? Some moment where it was just, they just, you know, made the computer do what it needed to do. There's something like that, and it will, it will occur to have them at some point in their career. And, uh. Hopefully multiple times. Right.swyx: Gimme an example of one of your engineers that like,Simon Hørup Eskildsen: I'll give an eng.Uh, so we, we, we launched this thing called A and NV three. Um, we could, we're also, we're working on V four and V five right now, but a and NV three can search a hundred billion vectors with a P 50 of around 40 milliseconds and a p 99 of 200 milliseconds. Um, maybe other people have done this, I'm sure Google and others have done this, but, uh, we haven't seen anyone, um, at least not in like a public consumable SaaS that can do this.And that was an engineer, the chief architect of Turbo Puffer, Nathan, um, who more or less just bent this, the software was not capable of this and he just made it capable for a very particular workload in like a, you know, six to eight week period with the help of a lot of the team. Right. It's been, been, there's numerous of examples of that, like at, at turbo puff, but that's like really bending the software and X 86 to your will.It was incredible to watch. Um. You wanna see some moments like that?swyx: Isn't that triple nine?Simon Hørup Eskildsen: Um, I think Nathan, what's calledAlessio: group nine, that was only nine. I feel like this is too high forSimon Hørup Eskildsen: Nathan. Nathan is, uh, Nathan is like, yeah, there's a lot of nines. Okay. After that p So I think that's one trait. I think another trait is that, uh, the P 99 spends a lot of time looking at maps.Generally it's their preferred ux. They just love looking at maps. You ever seen someone who just like, sits on their phone and just like, scrolls around on a map? Or did you not look at maps A lot? You guys don't look atswyx: maps? I guess I'm not feeling there. I don't know, butSimon Hørup Eskildsen: you just dis What about trains?Do you like trains?swyx: Uh, I mean they, not enough. Okay. This is just like weapon nice. Autism is what I call it. Like, like,Simon Hørup Eskildsen: um, I love looking at maps, like, it's like my preferred UX and just like I, you know, I likeswyx: lotsAlessio: of, of like random places, soswyx: like,youswyx: know.Alessio: Yes. Okay. There you go. So instead of like random places, like how do you explore the maps?Simon Hørup Eskildsen: No, it's, it's just a joke.swyx: It's autism laugh. It's like you are just obsessed by something and you like studying a thing.Simon Hørup Eskildsen: The origin of this was that at some point I read an interview with some IOI gold medalistswyx: Uhhuh,Simon Hørup Eskildsen: and it's like, what do you do in your spare time? I was just like, I like looking at maps.I was like, I feel so seen. Like, I just like love, like swirling out. I was like, oh, Canada is so big. Where's Baffin Island? I don't know. I love it. Yeah. Um, anyway, so the traits of P 99, P 99 is obsessive, right? Like, there's just like, you'll, you'll find traits of that we do an interview at, at, at, at turbo puffer or like multiple interviews that just try to screen for some of these things.Um, so. There's lots of others, but these are the kinds of traits that we look for.swyx: I'll tell you, uh, some people listen for like some of my dere stuff. Uh, I do think about derel as maps. Um, you draw a map for people, uh, maps show you the, uh, what is commonly agreed to be the geographical features of what a boundary is.And it shows also shows you what is not doing. And I, I think a lot of like developer tools, companies try to tell you they can do everything, but like, let's, let's be real. Like you, your, your three landmarks are here, everyone comes here, then here, then here, and you draw a map and, and then you draw a journey through the map.And like that. To me, that's what developer relations looks like. So I do think about things that way.Simon Hørup Eskildsen: I think the P 99 thinks in offs, right? The P 99 is very clear about, you know, hey, turbo puffer, you can't run a high transaction workload on turbo puffer, right? It's like the right latency is a hundred milliseconds.That's a clear trade off. I think the P 99 is very good at articulating the trade offs in every decision. Um. Which is exactly what the map is in your case, right?swyx: Uh, yeah, yeah. My, my, my world. My world.Alessio: How, how do you reconcile some of these things when you're saying you bend the will the computer versus like the trade

In this episode of The Counseling Psychologist podcast series, Ms. Tessi Muskrat and Mrs. Maddi Worley talk about their article recently published in TCP titled, ""Being Yourself is a Sin": The Impact of Evangelical Purity Culture on Sexual and Gender Minority People Socialized as Women."

Big thank you to Infoblox for sponsoring this video. For more information on Infoblox have a look at their website: https://www.infoblox.com/ // Get Wireshark Certified // Check out the official training course

“Personalization” has become one of the most overused words in wealth management and one of the hardest promises to actually deliver. Clients want portfolios that reflect their goals, values, tax realities, and life events. Firms want scale, efficiency, and fewer operational landmines. Too often, those two goals collide. In this episode of The WealthStack Podcast, host Shannon Rosic sits down with Joshua Allen, CEO of TCP Asset Management, to unpack what real portfolio personalization looks like inside a fast-growing RIA and why most firms underestimate the operational cost of getting it wrong. Josh shares how TCP moved beyond model-only workflows, where automation actually helps (and where it doesn't), and why saying no to most technology is critical to scaling personalization without creating an ops headache. Key takeaways: How hiring a director of advisory services strengthened tech integration Why deeper use of existing tech beats adding more tools to the stack How personalized portfolios are driving referrals across generations Why most “personalized portfolios” still feel identical to clients What's real vs hype when it comes to AI in portfolio management Resources: Listen to WealthStack on Wealth Management Subscribe and listen to WealthStack on Apple Podcasts Subscribe and listen to WealthStack on Spotify Connect with Shannon Rosic: Shannon Rosic WealthStack website Wealth Management Connect with Joshua Allen: LinkedIn: TCP Asset Management Website: TCP Asset Management About Our Guest: As a founding Partner and  Chief Executive Officer of TCP Asset Management, Josh Allen is charged with leading a team of wealth advisors in practice management, business development, and innovative planning solutions. These solutions have provided our clients with the resources and flexibility needed to deliver a personalized financial planning experience that is fluid and dynamic. Josh and his team have developed and refined a process that is comprehensive in nature and ties together: investment management, risk management, retirement income planning, estate planning, business and family legacy planning, and philanthropy. This exclusive process allows them to put together all the pieces of the financial puzzle for their clients as their lives unfold and be engaged when their needs evolve. Josh received a Bachelor of Science degree from The Ohio State University in Family Resource Management. He also received a certificate in Financial Planning from Boston University. Upon completion of the education, examination and experience requirements, Josh obtained the Certified Financial Planner, CRPC® and CRPS® designations. His securities licenses include the series 7,9,10 and 66 and State of Ohio insurance license. Josh is married to Branda, who is also one of his business partners. They together have three children, two dogs and two cats. As a family they love the outdoors, whether it is on the beach or in the mountains, they are always up for an adventure.

In this episode of The Counseling Psychologist podcast series, Ms. Sally Ye Jin Lee talks about the article recently published in TCP titled, "What is Humility Good For? A Meta-Analysis of Humility, Health, and Well-Being."

In this episode of The Counseling Psychologist podcast series, Dr. Danice Brown, Dr. Kimberly Langrehr, Dr. Christa Schmidt, Dr. Sha'Kema Blackmon, and Ms. Nia Jones talk about the article recently published in TCP titled, "The Relationship Between Black Women's Gendered Racial Socialization, Self-Evaluation, and Subjective Well-Being." 

TCP's inaugural episode features Suraj Yengde and Anupama Rao, two scholars whose academic work and activism have helped to set the parameters of the contemporary debate on caste. In our conversation, we addressed the challenge of defining caste, their individual pathways into researching and writing on the caste question, and the virtues and limitations of comparing caste and race as two enduring forms of social stratification. We ended with a discussion of Isabel Wilkerson's Caste: The Origins of Our Discontents, the runaway bestseller that made caste and its relationship to race a topic of mainstream debate in the United States. Guests: Suraj Yengde: scholar, public intellectual, and anti-caste activist. Anupama Rao: Professor of History and Middle Eastern, South Asian, and African Studies, Columbia University Mentioned in the episode: B.R. Ambedkar, Annihilation of Caste IITs: the Indian Institutes of Technology IIMs: the Indian Institutes of Management Reserved candidates: beneficiaries of India's system of affirmative action B.R. Ambedkar, “Castes in India” Isabel Wilkerson, Caste: The Origins of Our Discontents Anupama Rao, The Caste Question Suraj Yengde, Caste Matters Suraj Yengde, Caste: A Global Story Shaadi.com: an Indian matrimonial website Phule: Jyotirao Phule was an anti-caste social reformer and writer from Maharashtra. Periyar: E.V. Ramasamy Naicker, commonly known as Periyar, was a writer, social revolutionary, and politician who was one of the principal ideologues of the Self-Respect Movement. Begumpura, or “city without sorrow” expresses the notion of a casteless, classless utopia and was first formulated by Sant Ravidas (c. 1450-1520). Dalit Panthers was a revolutionary, anti-caste organization founded in 1972. It was based in Maharashtra and drew inspiration from the American Black Panther Party. Oliver Cox, Caste, Class, and Race: A Study in Social Dynamics (1948) Divya Cherian, Merchants of Virtue Meet the Savarnas: 2025 book by Ravikant Kisana Ramesh Bairy, Being Brahmin, Being Modern Dumont, Homo Hierarchicus Daniel Immerwahr, “Caste of Colony?” Nico Slate, Colored Cosmopolitanism W.E.B. Du Bois, The Souls of Black Folk W.E.B. Du Bois, Black Reconstruction Ajantha Subramanian is Professor of Anthropology at CUNY Graduate Center and host of The Caste Pod. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/african-american-studies

TCP's inaugural episode features Suraj Yengde and Anupama Rao, two scholars whose academic work and activism have helped to set the parameters of the contemporary debate on caste. In our conversation, we addressed the challenge of defining caste, their individual pathways into researching and writing on the caste question, and the virtues and limitations of comparing caste and race as two enduring forms of social stratification. We ended with a discussion of Isabel Wilkerson's Caste: The Origins of Our Discontents, the runaway bestseller that made caste and its relationship to race a topic of mainstream debate in the United States. Guests: Suraj Yengde: scholar, public intellectual, and anti-caste activist. Anupama Rao: Professor of History and Middle Eastern, South Asian, and African Studies, Columbia University Mentioned in the episode: B.R. Ambedkar, Annihilation of Caste IITs: the Indian Institutes of Technology IIMs: the Indian Institutes of Management Reserved candidates: beneficiaries of India's system of affirmative action B.R. Ambedkar, “Castes in India” Isabel Wilkerson, Caste: The Origins of Our Discontents Anupama Rao, The Caste Question Suraj Yengde, Caste Matters Suraj Yengde, Caste: A Global Story Shaadi.com: an Indian matrimonial website Phule: Jyotirao Phule was an anti-caste social reformer and writer from Maharashtra. Periyar: E.V. Ramasamy Naicker, commonly known as Periyar, was a writer, social revolutionary, and politician who was one of the principal ideologues of the Self-Respect Movement. Begumpura, or “city without sorrow” expresses the notion of a casteless, classless utopia and was first formulated by Sant Ravidas (c. 1450-1520). Dalit Panthers was a revolutionary, anti-caste organization founded in 1972. It was based in Maharashtra and drew inspiration from the American Black Panther Party. Oliver Cox, Caste, Class, and Race: A Study in Social Dynamics (1948) Divya Cherian, Merchants of Virtue Meet the Savarnas: 2025 book by Ravikant Kisana Ramesh Bairy, Being Brahmin, Being Modern Dumont, Homo Hierarchicus Daniel Immerwahr, “Caste of Colony?” Nico Slate, Colored Cosmopolitanism W.E.B. Du Bois, The Souls of Black Folk W.E.B. Du Bois, Black Reconstruction Ajantha Subramanian is Professor of Anthropology at CUNY Graduate Center and host of The Caste Pod. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

TCP's inaugural episode features Suraj Yengde and Anupama Rao, two scholars whose academic work and activism have helped to set the parameters of the contemporary debate on caste. In our conversation, we addressed the challenge of defining caste, their individual pathways into researching and writing on the caste question, and the virtues and limitations of comparing caste and race as two enduring forms of social stratification. We ended with a discussion of Isabel Wilkerson's Caste: The Origins of Our Discontents, the runaway bestseller that made caste and its relationship to race a topic of mainstream debate in the United States. Guests: Suraj Yengde: scholar, public intellectual, and anti-caste activist. Anupama Rao: Professor of History and Middle Eastern, South Asian, and African Studies, Columbia University Mentioned in the episode: B.R. Ambedkar, Annihilation of Caste IITs: the Indian Institutes of Technology IIMs: the Indian Institutes of Management Reserved candidates: beneficiaries of India's system of affirmative action B.R. Ambedkar, “Castes in India” Isabel Wilkerson, Caste: The Origins of Our Discontents Anupama Rao, The Caste Question Suraj Yengde, Caste Matters Suraj Yengde, Caste: A Global Story Shaadi.com: an Indian matrimonial website Phule: Jyotirao Phule was an anti-caste social reformer and writer from Maharashtra. Periyar: E.V. Ramasamy Naicker, commonly known as Periyar, was a writer, social revolutionary, and politician who was one of the principal ideologues of the Self-Respect Movement. Begumpura, or “city without sorrow” expresses the notion of a casteless, classless utopia and was first formulated by Sant Ravidas (c. 1450-1520). Dalit Panthers was a revolutionary, anti-caste organization founded in 1972. It was based in Maharashtra and drew inspiration from the American Black Panther Party. Oliver Cox, Caste, Class, and Race: A Study in Social Dynamics (1948) Divya Cherian, Merchants of Virtue Meet the Savarnas: 2025 book by Ravikant Kisana Ramesh Bairy, Being Brahmin, Being Modern Dumont, Homo Hierarchicus Daniel Immerwahr, “Caste of Colony?” Nico Slate, Colored Cosmopolitanism W.E.B. Du Bois, The Souls of Black Folk W.E.B. Du Bois, Black Reconstruction Ajantha Subramanian is Professor of Anthropology at CUNY Graduate Center and host of The Caste Pod. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/anthropology

TCP's inaugural episode features Suraj Yengde and Anupama Rao, two scholars whose academic work and activism have helped to set the parameters of the contemporary debate on caste. In our conversation, we addressed the challenge of defining caste, their individual pathways into researching and writing on the caste question, and the virtues and limitations of comparing caste and race as two enduring forms of social stratification. We ended with a discussion of Isabel Wilkerson's Caste: The Origins of Our Discontents, the runaway bestseller that made caste and its relationship to race a topic of mainstream debate in the United States. Guests: Suraj Yengde: scholar, public intellectual, and anti-caste activist. Anupama Rao: Professor of History and Middle Eastern, South Asian, and African Studies, Columbia University Mentioned in the episode: B.R. Ambedkar, Annihilation of Caste IITs: the Indian Institutes of Technology IIMs: the Indian Institutes of Management Reserved candidates: beneficiaries of India's system of affirmative action B.R. Ambedkar, “Castes in India” Isabel Wilkerson, Caste: The Origins of Our Discontents Anupama Rao, The Caste Question Suraj Yengde, Caste Matters Suraj Yengde, Caste: A Global Story Shaadi.com: an Indian matrimonial website Phule: Jyotirao Phule was an anti-caste social reformer and writer from Maharashtra. Periyar: E.V. Ramasamy Naicker, commonly known as Periyar, was a writer, social revolutionary, and politician who was one of the principal ideologues of the Self-Respect Movement. Begumpura, or “city without sorrow” expresses the notion of a casteless, classless utopia and was first formulated by Sant Ravidas (c. 1450-1520). Dalit Panthers was a revolutionary, anti-caste organization founded in 1972. It was based in Maharashtra and drew inspiration from the American Black Panther Party. Oliver Cox, Caste, Class, and Race: A Study in Social Dynamics (1948) Divya Cherian, Merchants of Virtue Meet the Savarnas: 2025 book by Ravikant Kisana Ramesh Bairy, Being Brahmin, Being Modern Dumont, Homo Hierarchicus Daniel Immerwahr, “Caste of Colony?” Nico Slate, Colored Cosmopolitanism W.E.B. Du Bois, The Souls of Black Folk W.E.B. Du Bois, Black Reconstruction Ajantha Subramanian is Professor of Anthropology at CUNY Graduate Center and host of The Caste Pod. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/sociology

TCP's inaugural episode features Suraj Yengde and Anupama Rao, two scholars whose academic work and activism have helped to set the parameters of the contemporary debate on caste. In our conversation, we addressed the challenge of defining caste, their individual pathways into researching and writing on the caste question, and the virtues and limitations of comparing caste and race as two enduring forms of social stratification. We ended with a discussion of Isabel Wilkerson's Caste: The Origins of Our Discontents, the runaway bestseller that made caste and its relationship to race a topic of mainstream debate in the United States. Guests: Suraj Yengde: scholar, public intellectual, and anti-caste activist. Anupama Rao: Professor of History and Middle Eastern, South Asian, and African Studies, Columbia University Mentioned in the episode: B.R. Ambedkar, Annihilation of Caste IITs: the Indian Institutes of Technology IIMs: the Indian Institutes of Management Reserved candidates: beneficiaries of India's system of affirmative action B.R. Ambedkar, “Castes in India” Isabel Wilkerson, Caste: The Origins of Our Discontents Anupama Rao, The Caste Question Suraj Yengde, Caste Matters Suraj Yengde, Caste: A Global Story Shaadi.com: an Indian matrimonial website Phule: Jyotirao Phule was an anti-caste social reformer and writer from Maharashtra. Periyar: E.V. Ramasamy Naicker, commonly known as Periyar, was a writer, social revolutionary, and politician who was one of the principal ideologues of the Self-Respect Movement. Begumpura, or “city without sorrow” expresses the notion of a casteless, classless utopia and was first formulated by Sant Ravidas (c. 1450-1520). Dalit Panthers was a revolutionary, anti-caste organization founded in 1972. It was based in Maharashtra and drew inspiration from the American Black Panther Party. Oliver Cox, Caste, Class, and Race: A Study in Social Dynamics (1948) Divya Cherian, Merchants of Virtue Meet the Savarnas: 2025 book by Ravikant Kisana Ramesh Bairy, Being Brahmin, Being Modern Dumont, Homo Hierarchicus Daniel Immerwahr, “Caste of Colony?” Nico Slate, Colored Cosmopolitanism W.E.B. Du Bois, The Souls of Black Folk W.E.B. Du Bois, Black Reconstruction Ajantha Subramanian is Professor of Anthropology at CUNY Graduate Center and host of The Caste Pod. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/south-asian-studies

In this episode of The Counseling Psychologist podcast series, Dr. Han Na Lee talks about the article recently published in TCP titled, "Coalition or Othering? Asian Americans' Experiences of Discrimination, Collective Identity, and Intergroup Solidarity." 

In this episode of The Counseling Psychologist podcast series, Dr. Y. Joel Wong talks about the article recently published in TCP titled, "Cross-Racial Microaffirmations: Concepts and Applications." 

In this episode of The Counseling Psychologist podcast series, Dr. Alexander Fietzer talks about the article recently published in TCP titled, "A Review and Guide to Structural Equation Modeling in Counseling Psychology Research."

Topics covered in this episode: port-killer How we made Python's packaging library 3x faster CodSpeed Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 11am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: port-killer A powerful cross-platform port management tool for developers. Monitor ports, manage Kubernetes port forwards, integrate Cloudflare Tunnels, and kill processes with one click. Features:

In this episode of The Counseling Psychologist podcast series, Ms. Fowsia Musse and Dr. Yunkyoung Garrison talk about the article recently published in TCP titled, "Ka Bogso: The 5Rs Model of Posttraumatic Growth for Somali Refugee Women."

¿Tu servidor o escritorio Linux está lento o no te deja desmontar un disco? ¿Borraste un archivo gigante pero el espacio no se liberó? ¡Tenemos al culpable!En este episodio de atareao con Linux, te destripo el comando más poderoso para el diagnóstico de sistemas: lsof (List Open Files).Aprenderás a usar este detective de recursos para resolver los problemas más frustrantes de administración de sistemas, desde la configuración de Docker hasta la optimización de tu VPS o Raspberry Pi.

Ben's new TCP backpressure explanation: conveyor belts full. Matt zooms out and mistakes his factory for a Pentium 2. Ben plans to switch to Linux gaming; Matt's start bar keeps popping up and he's had it.

In this episode of Wellness: Rebranded, we explore one of the most memorable emotional intelligence analogies you'll ever hear: “Emotions are like farts.” It's funny, unexpected, and shockingly accurate and it opens the door to a deeper conversation about what emotions really are, why they matter, and how to build a healthier relationship with them. Join us as we break down why emotions aren't “good” or “bad,” why suppressing them always backfires, and how understanding your emotional patterns becomes your internal GPS for living a more aligned, grounded life. In this episode: Why emotions are natural, unavoidable, and meant to be felt The real meaning of emotional intelligence (and why it matters for mental health) How fear shows up in everyday decision-making How to identify emotions beyond the basic five Why naming emotions increases self-awareness and reduces stress How childhood, modeling, and family dynamics shape emotional expression Why your reaction — not the emotion itself — determines the outcome Simple tools to start recognizing your emotions, including the feelings wheel and journaling   This episode is brought to you by TCP Youth Empowerment. Every child deserves someone in their corner. To sponsor a child, visit TCP to 44-321 or visit https://www.tcpyouthempowerment.org/   Connect with us!    The Ultimate Self Care Planner: https://elizabethharrisnutrition.ck.page/9e817ab37e   Elizabeth Harris, MS, RDN, LDN FB: Health and Healing with Intuitive Eating community https://www.facebook.com/groups/healthandhealingwithintuitiveeating Instagram: https://www.instagram.com/ElizabethHarrisNutrition Free download to break up with diet culture: https://elizabethharrisnutrition.com/invisible-diet   Tara De Leon, Master Personal Trainer Email: FitnessTrainer19@hotmail.com Instagram: https://www.instagram.com/tara_de_leon_fitness Join Tara's Newsletter: https://mailchi.mp/5290e3f13e08/email-signup   Maria Winters, LCPC, NCC Instagram: https://www.instagram.com/coaching_therapist/ FB: https://www.facebook.com/MWcoachingtherapy Website: www.thecoachingtherapist.com

Dans cet épisode, Emmanuel, Katia et Guillaume discutent de Spring 7, Quarkus, d'Infinispan et Keycloak. On discute aussi de projets sympas comme Javelit, de comment démarre une JVM, du besoin d'argent de NTP. Et puis on discute du changement de carrière d'Emmanuel. Enregistré le 14 novembre 2025 Téléchargement de l'épisode LesCastCodeurs-Episode-332.mp3 ou en vidéo sur YouTube. News Emmanuel quitte Red Hat après 20 ans https://emmanuelbernard.com/blog/2025/11/13/leaving-redhat/ Langages Support HTTP/3 dans le HttpClient de JDK 26 - https://inside.java/2025/10/22/http3-support/ JDK 26 introduit le support de HTTP/3 dans l'API HttpClient existante depuis Java 11 HTTP/3 utilise le protocole QUIC sur UDP au lieu de TCP utilisé par HTTP/2 Par défaut HttpClient préfère HTTP/2, il faut explicitement configurer HTTP/3 avec Version.HTTP_3 Le client effectue automatiquement un downgrade vers HTTP/2 puis HTTP/1.1 si le serveur ne supporte pas HTTP/3 On peut forcer l'utilisation exclusive de HTTP/3 avec l'option H3_DISCOVERY en mode HTTP_3_URI_ONLY HttpClient apprend qu'un serveur supporte HTTP/3 via le header alt-svc (RFC 7838) et utilise cette info pour les requêtes suivantes La première requête peut utiliser HTTP/2 même avec HTTP/3 préféré, mais la seconde utilisera HTTP/3 si le serveur l'annonce L'équipe OpenJDK encourage les tests et retours d'expérience sur les builds early access de JDK 26 Librairies Eclispe Jetty et CometD changent leurs stratégie de support https://webtide.com/end-of-life-changes-to-eclipse-jetty-and-cometd/ À partir du 1er janvier 2026, Webtide ne publiera plus Jetty 9/10/11 et CometD 5/6/7 sur Maven Central Pendant 20 ans, Webtide a financé les projets Jetty et CometD via services et support, publiant gratuitement les mises à jour EOL Le comportement des entreprises a changé : beaucoup cherchent juste du gratuit plutôt que du véritable support Des sociétés utilisent des versions de plus de 10 ans sans migrer tant que les correctifs CVE sont gratuits Cette politique gratuite a involontairement encouragé la complaisance et retardé les migrations vers versions récentes MITRE développe des changements au système CVE pour mieux gérer les concepts d'EOL Webtide lance un programme de partenariat avec TuxCare et HeroDevs pour distribuer les résolutions CVE des versions EOL Les binaires EOL seront désormais distribués uniquement aux clients commerciaux et via le réseau de partenaires Webtide continue le support standard open-source : quand Jetty 13 sortira, Jetty 12.1 recevra des mises à jour pendant 6 mois à un an Ce changement vise à clarifier la politique EOL avec une terminologie industrielle établie Améliorations cloud du SDK A2A Java https://quarkus.io/blog/quarkus-a2a-cloud-enhancements/ Version 0.3.0.Final du SDK A2A Java apporte des améliorations pour les environnements cloud et distribués Composants en mémoire remplacés par des implémentations persistantes et répliquées pour environnements multi-instances JpaDatabaseTaskStore et JpaDatabasePushNotificationConfigStore permettent la persistance des tâches et configurations en base PostgreSQL ReplicatedQueueManager assure la réplication des événements entre instances A2A Agent via Kafka et MicroProfile Reactive Messaging Exemple complet de déploiement Kubernetes avec Kind incluant PostgreSQL, Kafka via Strimzi, et load balancing entre pods Démonstration pratique montrant que les messages peuvent être traités par différents pods tout en maintenant la cohérence des tâches Architecture inspirée du SDK Python A2A, permettant la gestion de tâches asynchrones longues durée en environnement distribué Quarkus 3.29 sort avec des backends de cache multiples et support du débogueur Qute https://quarkus.io/blog/quarkus-3-29-released/ Possibilité d'utiliser plusieurs backends de cache simultanément dans une même application Chaque cache peut être associé à un backend spécifique (par exemple Caffeine et Redis ou Infinispan) Support du Debug Adapter Protocol (DAP) pour déboguer les templates Qute directement dans l'IDE et dans la version 3.28 Configuration programmatique de la protection CSRF via une API fluent Possibilité de restreindre les filtres OIDC à des flux d'authentification spécifiques avec annotations Support des dashboards Grafana personnalisés via fichiers JSON dans META-INF/grafana/ Extension Liquibase MongoDB supporte désormais plusieurs clients simultanés Amélioration significative des performances de build avec réduction des allocations mémoire Parallélisation de tâches comme la génération de proxies Hibernate ORM et la construction des Jar Et l'utilisation des fichiers .proto est plus simple dans Quarkus avbec Quarkus gRPC Zero https://quarkus.io/blog/grpc-zero/ c'est toujours galere des fichiers .proto car les generateurs demandent des executables natifs maintenant ils sont bundlés dans la JVM et vous n'avez rien a configurer cela utilise Caffeine pour faire tourner cela en WASM dans la JVM Spring AI 1.1 est presque là https://spring.io/blog/2025/11/08/spring-ai-1-1-0-RC1-available-now support des MCP tool caching pour les callback qui reduit les iooerations redondantes Access au contenu de raisonnement OpenAI Un modele de Chat MongoDB Support du modele de penser Ollama Reessaye sur les echec de reseau OpenAI speech to text Spring gRPC Les prochaines étapes pour la 1.0.0 https://spring.io/blog/2025/11/05/spring-grpc-next-steps Spring gRPC 1.0 arrive prochainement avec support de Spring Boot 4 L'intégration dans Spring Boot 4.0 est reportée, prévue pour Spring Boot 4.1 Les coordonnées Maven restent sous org.springframework.grpc pour la version 1.0 Le jar spring-grpc-test est renommé en spring-grpc-test-spring-boot-autoconfigure Les packages d'autoconfiguration changent de nom nécessitant de modifier les imports Les dépendances d'autoconfiguration seront immédiatement dépréciées après la release 1.0 Migration minimale attendue pour les projets utilisant déjà la version 0.x La version 1.0.0-RC1 sera publiée dès que possible avant la version finale Spring arrete le support reactif d'Apache Pulsar https://spring.io/blog/2025/10/29/spring-pulsar-reactive-discontinued logique d'évaluer le temps passé vs le nombre d'utilisateurs c'est cependant une tendance qu'on a vu s'accélerer Spring 7 est sorti https://spring.io/blog/2025/11/13/spring-framework-7-0-general-availability Infrastructure Infinispan 16.0 https://infinispan.org/blog/2025/11/10/infinispan-16-0 Ajout majeur : migration en ligne sans interruption pour les nœuds d'un cluster (rolling upgrades) (infinispan.org) Messages de clustering refaits avec Protocol Buffers + ProtoStream : meilleure compatibilité, schéma évolutif garanti (infinispan.org) Console Web améliorée API dédiée de gestion des schémas (SchemasAdmin) pour gérer les schémas ProtoStream à distance (infinispan.org) Module de requête (query) optimisé : support complet des agrégations (sum, avg …) dans les requêtes indexées en cluster grâce à l'intégration de Hibernate Search 8.1 (infinispan.org) Serveur : image conteneur minimalisée pour réduire la surface d'attaque (infinispan.org) démarrage plus rapide grâce à séparation du démarrage cache/serveur (infinispan.org) caches pour connecteurs (Memcached, RESP) créés à la demande (on-demand) et non à l'initiaton automatique (infinispan.org) moteur Lua 5.1 mis à jour avec corrections de vulnérabilités et opérations dangereuses désactivées (infinispan.org) Support JDK : version minimale toujours JDK 17 (infinispan.org) prise en charge des threads virtuels (virtual threads) et des fonctionnalités AOT (Ahead-of-Time) de JDK plus récentes (infinispan.org) Web Javelit, une nouvelle librairie Java inspirée de Streamlit pour faire facilement et rapidement des petites interfaces web https://glaforge.dev/posts/2025/10/24/javelit-to-create-quick-interactive-app-frontends-in-java/ Site web du projet : https://javelit.io/ Javelit : outil pour créer rapidement des applications de données (mais pas que) en Java. Simplifie le développement : élimine les tracas du frontend et de la gestion des événements. Transforme une classe Java en application web en quelques minutes. Inspiré par la simplicité de Streamlit de l'écosystème Python (ou Gradio et Mesop), mais pour Java. Développement axé sur la logique : pas de code standard répétitif (boilerplate), rechargement à chaud. Interactions faciles : les widgets retournent directement leur valeur, sans besoin de HTML/CSS/JS ou gestion d'événements. Déploiement flexible : applications autonomes ou intégrables dans des frameworks Java (Spring, Quarkus, etc.). L'article de Guillaume montre comment créer une petite interface pour créer et modifier des images avec le modèle génératif Nano Banana Un deuxième article montre comment utiliser Javelit pour créer une interface de chat avec LangChain4j https://glaforge.dev/posts/2025/10/25/creating-a-javelit-chat-interface-for-langchain4j/ Améliorer l'accessibilité avec les applis JetPack Compose https://blog.ippon.fr/2025/10/29/rendre-son-application-accessible-avec-jetpack-compose/ TalkBack est le lecteur d'écran Android qui vocalise les éléments sélectionnés pour les personnes malvoyantes Accessibility Scanner et les outils Android Studio détectent automatiquement les problèmes d'accessibilité statiques Les images fonctionnelles doivent avoir un contentDescription, les images décoratives contentDescription null Le contraste minimum requis est de 4.5:1 pour le texte normal et 3:1 pour le texte large ou les icônes Les zones cliquables doivent mesurer au minimum 48dp x 48dp pour faciliter l'interaction Les formulaires nécessitent des labels visibles permanents et non de simples placeholders qui disparaissent Modifier.semantics permet de définir l'arbre sémantique lu par les lecteurs d'écran Les propriétés mergeDescendants et traversalIndex contrôlent l'ordre et le regroupement de la lecture Diriger le navigateur Chrome avec le modèle Gemini Computer Use https://glaforge.dev/posts/2025/11/03/driving-a-web-browser-with-gemini-computer-use-model-in-java/ Objectif : Automatiser la navigation web en Java avec le modèle "Computer Use" de Gemini 2.5 Pro. Modèle "Computer Use" : Gemini analyse des captures d'écran et génère des actions d'interface (clic, saisie, etc.). Outils : Gemini API, Java, Playwright (pour l'interaction navigateur). Fonctionnement : Boucle agent où Gemini reçoit une capture, propose une action, Playwright l'exécute, puis une nouvelle capture est envoyée à Gemini. Implémentation clé : Toujours envoyer une capture d'écran à Gemini après chaque action pour qu'il comprenne l'état actuel. Défis : Lenteur, gestion des CAPTCHA et pop-ups (gérables). Potentiel : Automatisation des tâches web répétitives, création d'agents autonomes. Data et Intelligence Artificielle Apicurio ajoute le support de nouveaux schema sans reconstruire Apicurio https://www.apicur.io/blog/2025/10/27/custom-artifact-types Apicurio Registry 3.1.0 permet d'ajouter des types d'artefacts personnalisés au moment du déploiement sans recompiler le projet Supporte nativement OpenAPI, AsyncAPI, Avro, JSON Schema, Protobuf, GraphQL, WSDL et XSD Trois approches d'implémentation disponibles : classes Java pour la performance maximale, JavaScript/TypeScript pour la facilité de développement, ou webhooks pour une flexibilité totale Configuration via un simple fichier JSON pointant vers les implémentations des composants personnalisés Les scripts JavaScript sont exécutés via QuickJS dans un environnement sandboxé sécurisé Un package npm TypeScript fournit l'autocomplétion et la sécurité de type pour le développement Six composants optionnels configurables : détection automatique de type, validation, vérification de compatibilité, canonicalisation, déréférencement et recherche de références Cas d'usage typiques : formats propriétaires internes, support RAML, formats legacy comme WADL, schémas spécifiques à un domaine métier Déploiement simple via Docker en montant les fichiers de configuration et scripts comme volumes Les performances varient selon l'approche : Java offre les meilleures performances, JavaScript un bon équilibre, webhooks la flexibilité maximale Le truc interessant c'est que c'est Quarkus based et donc demandait le rebuilt donc pour eviter cela, ils ont ajouter QuickJS via Chicorey un moteur WebAssembly GPT 5.1 pour les développeurs est sorti. https://openai.com/index/gpt-5-1-for-developers/ C'est le meilleur puisque c'est le dernier :slightly_smiling_face: Raisonnement Adaptatif et Efficace : GPT-5.1 ajuste dynamiquement son temps de réflexion en fonction de la complexité de la tâche, le rendant nettement plus rapide et plus économique en jetons pour les tâches simples, tout en maintenant des performances de pointe sur les tâches difficiles. Nouveau Mode « Sans Raisonnement » : Un mode (reasoning_effort='none') a été introduit pour les cas d'utilisation sensibles à la latence, permettant une réponse plus rapide avec une intelligence élevée et une meilleure exécution des outils. Cache de Prompt Étendu : La mise en cache des invites est étendue jusqu'à 24 heures (contre quelques minutes auparavant), ce qui réduit la latence et le coût pour les interactions de longue durée (chats multi-tours, sessions de codage). Les jetons mis en cache sont 90 % moins chers. Améliorations en Codage : Le modèle offre une meilleure personnalité de codage, une qualité de code améliorée et de meilleures performances sur les tâches d'agenticité de code, atteignant 76,3 % sur SWE-bench Verified. Nouveaux Outils pour les Développeurs : Deux nouveaux outils sont introduits ( https://cookbook.openai.com/examples/build_a_coding_agent_with_gpt-5.1 ) : L'outil apply_patch pour des modifications de code plus fiables via des diffs structurés. L'outil shell qui permet au modèle de proposer et d'exécuter des commandes shell sur une machine locale, facilitant les boucles d'inspection et d'exécution. Disponibilité : GPT-5.1 (ainsi que les modèles gpt-5.1-codex) est disponible pour les développeurs sur toutes les plateformes API payantes, avec les mêmes tarifs et limites de débit que GPT-5. Comparaison de similarité d'articles et de documents avec les embedding models https://glaforge.dev/posts/2025/11/12/finding-related-articles-with-vector-embedding-models/ Principe : Convertir les articles en vecteurs numériques ; la similarité sémantique est mesurée par la proximité de ces vecteurs. Démarche : Résumé des articles via Gemini-2.5-flash. Conversion des résumés en vecteurs (embeddings) par Gemini-embedding-001. Calcul de la similarité entre vecteurs par similarité cosinus. Affichage des 3 articles les plus pertinents (>0.75) dans le frontmatter Hugo. Bilan : Approche "résumé et embedding" efficace, pragmatique et améliorant l'engagement des lecteurs. Outillage Composer : Nouveau modèle d'agent rapide pour l'ingénierie logicielle - https://cursor.com/blog/composer Composer est un modèle d'agent conçu pour l'ingénierie logicielle qui génère du code quatre fois plus rapidement que les modèles similaires Le modèle est entraîné sur de vrais défis d'ingénierie logicielle dans de grandes bases de code avec accès à des outils de recherche et d'édition Il s'agit d'un modèle de type mixture-of-experts optimisé pour des réponses interactives et rapides afin de maintenir le flux de développement L'entraînement utilise l'apprentissage par renforcement dans divers environnements de développement avec des outils comme la lecture de fichiers, l'édition, les commandes terminal et la recherche sémantique Cursor Bench est un benchmark d'évaluation basé sur de vraies demandes d'ingénieurs qui mesure la correction et le respect des abstractions du code existant Le modèle apprend automatiquement des comportements utiles comme effectuer des recherches complexes, corriger les erreurs de linter et écrire des tests unitaires L'infrastructure d'entraînement utilise PyTorch et Ray avec des kernels MXFP8 pour entraîner sur des milliers de GPUs NVIDIA Le système exécute des centaines de milliers d'environnements de codage sandboxés concurrents dans le cloud pour l'entraînement Composer est déjà utilisé quotidiennement par les développeurs de Cursor pour leur propre travail Le modèle se positionne juste derrière GPT-5 et Sonnet 4.5 en termes de performance sur les benchmarks internes Rex sur l'utilisation de l'IA pour les développeurs, un gain de productivité réel et des contextes adaptés https://mcorbin.fr/posts/2025-10-17-genai-dev/ Un développeur avec 18 ans d'expérience partage son retour sur l'IA générative après avoir changé d'avis Utilise exclusivement Claude Code dans le terminal pour coder en langage naturel Le "vibe coding" permet de générer des scripts et interfaces sans regarder le code généré Génération rapide de scripts Python pour traiter des CSV, JSON ou créer des interfaces HTML Le mode chirurgien résout des bugs complexes en one-shot, exemple avec un plugin Grafana fixé en une minute Pour le code de production, l'IA génère les couches repository, service et API de manière itérative, mais le dev controle le modele de données Le développeur relit toujours le code et ajuste manuellement ou via l'IA selon le besoin L'IA ne remplacera pas les développeurs car la réflexion, conception et expertise technique restent essentielles La construction de produits robustes, scalables et maintenables nécessite une expérience humaine L'IA libère du temps sur les tâches répétitives et permet de se concentrer sur les aspects complexes ce que je trouve interessant c'est la partie sur le code de prod effectivement, je corrige aussi beaucoup les propositions de l'IA en lui demandant de faire mieux dans tel ou tel domaine Sans guide, tout cela serait perdu Affaire a suivre un article en parallele sur le métier de designer https://blog.ippon.fr/2025/11/03/lia-ne-remplace-pas-un-designer-elle-amplifie-la-difference-entre-faire-et-bien-faire/ Plus besoin de se rappeler les racourcis dans IntelliJ idea avec l'universal entry point https://blog.jetbrains.com/idea/2025/11/universal-entry-point-a-single-entry-point-for-context-aware-coding-assistance/ IntelliJ IDEA introduit Command Completion, une nouvelle façon d'accéder aux actions de l'IDE directement depuis l'éditeur Fonctionne comme la complétion de code : tapez point (.) pour voir les actions contextuelles disponibles Tapez double point (..) pour filtrer et n'afficher que les actions disponibles Propose des corrections, refactorings, génération de code et navigation selon le contexte Complète les fonctionnalités existantes sans les remplacer : raccourcis, Alt+Enter, Search Everywhere Facilite la découverte des fonctionnalités de l'IDE sans interrompre le flux de développement En Beta dans la version 2025.2, sera activé par défaut dans 2025.3 Support actuel pour Java et Kotlin, avec actions spécifiques aux frameworks comme Spring et Hibernate Homebrew, package manage pour macOS et Linux passe en version 5 https://brew.sh/2025/11/12/homebrew-5.0.0/ Téléchargements Parallèles par Défaut : Le paramètre HOMEBREW_DOWNLOAD_CONCURRENCY=auto est activé par défaut, permettant des téléchargements concurrents pour tous les utilisateurs, avec un rapport de progression. Support Linux ARM64/AArch64 en Tier 1 : Le support pour Linux ARM64/AArch64 a été promu au niveau "Tier 1" (support officiel de premier plan). Feuille de Route pour les Dépréciations macOS : Septembre 2026 (ou plus tard) : Homebrew ne fonctionnera plus sur macOS Catalina (10.15) et versions antérieures. macOS Intel (x86_64) passera en "Tier 3" (fin du support CI et des binaires précompilés/bottles). Septembre 2027 (ou plus tard) : Homebrew ne fonctionnera plus sur macOS Big Sur (11) sur Apple Silicon ni du tout sur Intel (x86_64). Sécurité et Casks : Dépréciation des Casks sans signature de code. Désactivation des Casks échouant aux vérifications Gatekeeper en septembre 2026. Les options --no-quarantine et --quarantine sont dépréciés pour ne plus faciliter le contournement des fonctionnalités de sécurité de macOS. Nouvelles Fonctionnalités & Améliorations : Support officiel pour macOS 26 (Tahoe). brew bundle supporte désormais l'installation de packages Go via un Brewfile. Ajout de la commande brew info --sizes pour afficher la taille des formulae et casks. La commande brew search --alpine permet de chercher des packages Alpine Linux. Architecture Selon l'analyste RedMonk, Java reste très pertinent dans l'aire de l'IA et des agents https://redmonk.com/jgovernor/java-relevance-in-the-ai-era-agent-frameworks-emerge/ Java reste pertinent à l'ère de l'IA, pas besoin d'apprendre une pile technique entièrement nouvelle. Capacité d'adaptation de Java ("anticorps") aux innovations (Big Data, cloud, IA), le rendant idéal pour les contextes d'entreprise. L'écosystème JVM offre des avantages sur Python pour la logique métier et les applications sophistiquées, notamment en termes de sécurité et d'évolutivité. Embabel (par Rod Johnson, créateur de Spring) : un framework d'agents fortement typé pour JVM, visant le déterminisme des projets avant la génération de code par LLM. LangChain4J : facilite l'accès aux capacités d'IA pour les développeurs Java, s'aligne sur les modèles d'entreprise établis et permet aux LLM d'appeler des méthodes Java. Koog (Jetbrains) : framework d'agents basé sur Kotlin, typé et spécifique aux développeurs JVM/Kotlin. Akka : a pivoté pour se concentrer sur les flux de travail d'agents IA, abordant la complexité, la confiance et les coûts des agents dans les systèmes distribués. Le Model Context Protocol (MCP) est jugé insuffisant, manquant d'explicabilité, de découvrabilité, de capacité à mélanger les modèles, de garde-fous, de gestion de flux, de composabilité et d'intégration sécurisée. Les développeurs Java sont bien placés pour construire des applications compatibles IA et intégrer des agents. Des acteurs majeurs comme IBM, Red Hat et Oracle continuent d'investir massivement dans Java et son intégration avec l'IA. Sécurité AI Deepfake, Hiring … A danger réel https://www.eu-startups.com/2025/10/european-startups-get-serious-about-deepfakes-as-ai-fraud-losses-surpass-e1-3-billion/ Pertes liées aux deepfakes en Europe : > 1,3 milliard € (860 M € rien qu'en 2025). Création de deepfakes désormais possible pour quelques euros. Fraudes : faux entretiens vidéo, usurpations d'identité, arnaques diverses. Startups actives : Acoru, IdentifAI, Trustfull, Innerworks, Keyless (détection et prévention). Réglementation : AI Act et Digital Services Act imposent transparence et contrôle. Recommandations : vérifier identités, former employés, adopter authentification multi-facteurs. En lien : https://www.techmonitor.ai/technology/cybersecurity/remote-hiring-cybersecurity 1 Candidat sur 4 sera Fake en 2028 selon Gartner research https://www.gartner.com/en/newsroom/press-releases/2025-07-31-gartner-survey-shows-j[…]-percent-of-job-applicants-trust-ai-will-fairly-evaluate-them Loi, société et organisation Amazon - prévoit supprimer 30.000 postes https://www.20minutes.fr/economie/4181936-20251028-amazon-prevoit-supprimer-30-000-emplois-bureau-selon-plusieurs-medias Postes supprimés : 30 000 bureaux Part des effectifs : ~10 % des employés corporatifs Tranche confirmée : 14 000 postes Divisions touchées : RH, Opérations, Devices & Services, Cloud Motifs : sur-recrutement, bureaucratie, automatisation/IA Accompagnement : 90 jours pour poste interne + aides Non concernés : entrepôts/logistique Objectif : concentrer sur priorités stratégiques NTP a besoin d'argent https://www.ntp.org/ Il n'est que le protocole qui synchronise toutes les machines du monde La fondation https://www.nwtime.org/ recherche 11000$ pour maintenir son activité Rubrique débutant Une plongée approfondie dans le démarrage de la JVM https://inside.java/2025/01/28/jvm-start-up La JVM effectue une initialisation complexe avant d'exécuter le code : validation des arguments, détection des ressources système et sélection du garbage collector approprié Le chargement de classes suit une stratégie lazy où chaque classe charge d'abord ses dépendances dans l'ordre de déclaration, créant une chaîne d'environ 450 classes même pour un simple Hello World La liaison de classes comprend trois sous-processus : vérification de la structure, préparation avec initialisation des champs statiques à leurs valeurs par défaut, et résolution des références symboliques du Constant Pool Le CDS améliore les performances au démarrage en fournissant des classes pré-vérifiées, réduisant le travail de la JVM L'initialisation de classe exécute les initialiseurs statiques via la méthode spéciale clinit générée automatiquement par javac Le Project Leyden introduit la compilation AOT dans JDK 24 pour réduire le temps de démarrage en effectuant le chargement et la liaison de classes en avance de phase Pas si débutant finalement Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 12-14 novembre 2025 : Devoxx Morocco - Marrakech (Morocco) 15-16 novembre 2025 : Capitole du Libre - Toulouse (France) 19 novembre 2025 : SREday Paris 2025 Q4 - Paris (France) 19-21 novembre 2025 : Agile Grenoble - Grenoble (France) 20 novembre 2025 : OVHcloud Summit - Paris (France) 21 novembre 2025 : DevFest Paris 2025 - Paris (France) 24 novembre 2025 : Forward Data & AI Conference - Paris (France) 27 novembre 2025 : DevFest Strasbourg 2025 - Strasbourg (France) 28 novembre 2025 : DevFest Lyon - Lyon (France) 1-2 décembre 2025 : Tech Rocks Summit 2025 - Paris (France) 4-5 décembre 2025 : Agile Tour Rennes - Rennes (France) 5 décembre 2025 : DevFest Dijon 2025 - Dijon (France) 9-11 décembre 2025 : APIdays Paris - Paris (France) 9-11 décembre 2025 : Green IO Paris - Paris (France) 10-11 décembre 2025 : Devops REX - Paris (France) 10-11 décembre 2025 : Open Source Experience - Paris (France) 11 décembre 2025 : Normandie.ai 2025 - Rouen (France) 14-17 janvier 2026 : SnowCamp 2026 - Grenoble (France) 22 janvier 2026 : DevCon #26 : sécurité / post-quantique / hacking - Paris (France) 29-31 janvier 2026 : Epitech Summit 2026 - Paris - Paris (France) 2-5 février 2026 : Epitech Summit 2026 - Moulins - Moulins (France) 2-6 février 2026 : Web Days Convention - Aix-en-Provence (France) 3 février 2026 : Cloud Native Days France 2026 - Paris (France) 3-4 février 2026 : Epitech Summit 2026 - Lille - Lille (France) 3-4 février 2026 : Epitech Summit 2026 - Mulhouse - Mulhouse (France) 3-4 février 2026 : Epitech Summit 2026 - Nancy - Nancy (France) 3-4 février 2026 : Epitech Summit 2026 - Nantes - Nantes (France) 3-4 février 2026 : Epitech Summit 2026 - Marseille - Marseille (France) 3-4 février 2026 : Epitech Summit 2026 - Rennes - Rennes (France) 3-4 février 2026 : Epitech Summit 2026 - Montpellier - Montpellier (France) 3-4 février 2026 : Epitech Summit 2026 - Strasbourg - Strasbourg (France) 3-4 février 2026 : Epitech Summit 2026 - Toulouse - Toulouse (France) 4-5 février 2026 : Epitech Summit 2026 - Bordeaux - Bordeaux (France) 4-5 février 2026 : Epitech Summit 2026 - Lyon - Lyon (France) 4-6 février 2026 : Epitech Summit 2026 - Nice - Nice (France) 12-13 février 2026 : Touraine Tech #26 - Tours (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 27-29 mars 2026 : Shift - Nantes (France) 31 mars 2026 : ParisTestConf - Paris (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 17 juin 2026 : Devoxx Poland - Krakow (Poland) 11-12 juillet 2026 : DevLille 2026 - Lille (France) 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Clockwork began with a narrow goal—keeping clocks synchronized across servers—but soon realized that its precise latency measurements could reveal deeper data center networking issues. This insight led the company to build a hardware-agnostic monitoring and remediation platform capable of automatically routing around faults. Today, Clockwork's technology is especially valuable for large GPU clusters used in training LLMs, where communication efficiency and reliability are critical. CEO Suresh Vasudevan explains that AI workloads are among the most demanding distributed applications ever, and Clockwork provides building blocks that improve visibility, performance and fault tolerance. Its flagship feature, FleetIQ, can reroute traffic around failing switches, preventing costly interruptions that might otherwise force teams to restart training from hours-old checkpoints. Although the company originated from Stanford research focused on clock synchronization for financial institutions, the team eventually recognized that packet-timing data could underpin powerful network telemetry and dynamic traffic control. By integrating with NVIDIA NCCL, TCP and RDMA libraries, Clockwork can not only measure congestion but also actively manage GPU communication to enhance both uptime and training efficiency. Learn more from The New Stack about the latest in Clockwork: Clockwork's FleetIQ Aims To Fix AI's Costly Network Bottleneck What Happens When 116 Makers Reimagine the Clock? Join our community of newsletter subscribers to stay on top of the news and at the top of your game.   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This is a recap of the top 10 posts on Hacker News on November 15, 2025. This podcast was generated by wondercraft.ai (00:30): Our investigation into the suspicious pressure on Archive.todayOriginal post: https://news.ycombinator.com/item?id=45936460&utm_source=wondercraft_ai(01:52): AirPods libreated from Apple's ecosystemOriginal post: https://news.ycombinator.com/item?id=45941596&utm_source=wondercraft_ai(03:14): TCP, the workhorse of the internetOriginal post: https://news.ycombinator.com/item?id=45935503&utm_source=wondercraft_ai(04:37): AMD GPUs Go BrrrOriginal post: https://news.ycombinator.com/item?id=45934416&utm_source=wondercraft_ai(05:59): I can't recommend Grafana anymoreOriginal post: https://news.ycombinator.com/item?id=45934940&utm_source=wondercraft_ai(07:21): Nevada Governor's office covered up Boring Co safety violationsOriginal post: https://news.ycombinator.com/item?id=45939798&utm_source=wondercraft_ai(08:44): Messing with scraper botsOriginal post: https://news.ycombinator.com/item?id=45935729&utm_source=wondercraft_ai(10:06): Spec-Driven Development: The Waterfall Strikes BackOriginal post: https://news.ycombinator.com/item?id=45935763&utm_source=wondercraft_ai(11:28): Windhawk Windows classic theme mod for Windows 11Original post: https://news.ycombinator.com/item?id=45938723&utm_source=wondercraft_ai(12:51): One Handed KeyboardOriginal post: https://news.ycombinator.com/item?id=45936262&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Shawn Tierney meets up with Henrik Pedersen and Jacob Abel to learn about OTee Virtual PLCs in this episode of The Automation Podcast. For any links related to this episode, check out the “Show Notes” located below the video. Watch The Automation Podcast from The Automation Blog: Listen to The Automation Podcast from The Automation Blog: The Automation Podcast, Episode 252 Show Notes: Special thanks to Henrik Pedersen and Jacob Abel for coming on the show, and to OTee for sponsoring this episode so we could release it “ad free!” To learn about the topics discussed in this episode, checkout the below links: OTee Virtual PLCs website Schedule an OTee demo Connect with Henrik Pedersen Connect with Jacob Abel Read the transcript on The Automation Blog: (automatically generated) Shawn Tierney (Host): Thank you for tuning back into the automation podcast. Shawn Tierney here from Insights. And this week on the show, I meet up with Henrik Pedersen and Jacob Abel to learn all about virtual PLCs from OTee. That’s o t e e. And, I just thought it was very interesting. So if you guys have ever thought about maybe running virtual PLCs to test some processes out, I think you’ll really enjoy this. With that said, I wanna welcome to the show for the very first time, Hendrik and Jacob. Guys, before we jump into your presentation and learn more about what you do, could you first introduce yourself to our audience? Henrik Pedersen (OTee): Yeah. Sweetly. So my name is Hendrik. I am the cofounder, COO, OT, a new industrial automation company, that, we’re really glad to present here today. I have a background from ABB. I worked eleven years at ABB. In terms of education, I have an engineering degree and a master degree in industrial economics. And, yeah, I’m I’m excited to be here. Thanks, Rom. And I’ll pass it over to Jake. Jacob Abel (Edgenaut): I’m, Jacob Abel. I’m the principal automation engineer at Edgnot. EdgeNaught is a systems integrator focusing on edge computing and virtual PLCs. My background is in mechanical engineering, and I’m a professional control systems engineer, and I have thirteen years experience in the machine building side of industrial automation, specifically in oil and gas making flow separators. And I’ll hand it back to Henrik here. Henrik Pedersen (OTee): K. Great. So OT, we are a a new industrial automation company, the new kid on the block, if you will. We’re a start up. So, we only started, about three years ago now. And, we focus solely on virtual PLCs and and the data architectures allow you to integrate virtual PLCs in in operations. And, you know, some of the listeners will be very familiar with this first, thing I’m gonna say, but I think it’s valuable to just take a take a little bit step back and and remember what has happened in in history when when it comes to to IT and OT and, and and what really what really happened with that split. Right? So it was probably around the ‘9 you know, around nineteen nineties where the the the domain computer science were really split into these two domains here, the IT and OT. And, and that, that was, that was kind of natural that that happened because we got on the, on the IT side of things, we got Internet, we got open protocols and, you know, we had the personal computers and innovation could truly flourish on the IT side. But whereas on the OT side, we were we were kind of stuck still in the proprietary, hardware software lock in situation. And and that has that has really not been solved. Right? That that that is still kind of the the situation today. And it this is what this is obviously what also, brought me personally to to really got really super motivated to solve this problem and and really dive deep into it. And I experienced this firsthand with with my role in NAD and, how how extremely locked we are at creating new solutions and new innovation on the OT side. So so we’re basically a company that wants to to truly open up the the the innovation in this space and and make it possible to adopt anything new and new solutions, that that sits above the PLC and and, you know, that integrate effectively to to the controller. So I I have this this, you know, this slide that kind of illustrates this point with with some some, you know, historical events or or at least some some some big shifts that has happened. And, Aurene mentioned a shift in nineteen nineties. And it wasn’t actually until ’20, 2006 that Gartner coined this term OT, to explain the difference really what what has happened. And and, you know, as we know, IT has just boomed with innovation since since the nineties and OT is, is, is slowly, slowly incrementally getting better, but it’s still, it’s still the innovation pace is really not, not fast. So, this is also, of course, illustrated with all the new developments in in GenAI and AgenTic AI, MCP, and things like that that is kinda booming on on the IT side of things. And and and yeah. So, but we do believe that there is actually something happening right now. And and we have data that they’re gonna show for for that. Like, the the large incumbents are now working on this as well, like virtual PLCs, software defined automation and all kinds of exciting things going on on the OT side. So we do believe that that we will see, we will see a shift, a true big shift on the OT side in terms of innovation, really the speed in which we can, we can improve and adopt new solutions on the OT side. And this is kind of exemplified by, like, what what is the endgame here? Like, you could say that the endgame could be that IT and OT once once again becomes the same high paced innovation domain. Right. But then we need to solve those underlying problems, the infrastructural problems that are still so persistent on the OT side of things. The fine point of this slide is to just illustrate what’s happening right now. It’s like cloud solutions for control is actually happening. Virtual PLC, software based automation, AI is happening all at once. And we see it with the big suppliers and and also the exciting startups that’s coming into this space. So I think there’s there’s lots of great excitement now that we can we can expect from the OT side, in in next few years. Shawn Tierney (Host): Yeah. You know, I wanna just, just for those listening, add a little, context here. If we look at 1980, why was that so important? Why is this on the chart? And if you think about it, right, we got networks like Modbus and, Data Highway in nineteen seventy eight, seventy nine, eighty. We also got Ethernet at that time as well. And so we had on the plant floor field buses for our controls, but in the offices, people were going to Ethernet. And then when we started seeing the birth of the public Internet, right, we’re talking about in the nineties, people who are working on the plant floor, they were like, no. Don’t let the whole world access by plant floor network. And so I think that’s where we saw the initial the the divide, you know, was 1980. It was a physical divide, just physically different topologies. Right? Different needs. Right? And then and and as the Internet came out in the early nineties, it was it was now like, hey. We need to keep us safe. We know there’s something called hackers on the Internet. And and I think that’s why, as you’re saying in 2006, when Gartner, you know, coined OT, we were seeing that there was this hesitant to bring the two together because of the different viewpoints and the the different needs of both systems. So I think it’s very interesting. I know you listeners, you can’t see this, but I kinda want to go back through that and kinda give some context to those early years. And and, you know, like Henrik says, you know, now that we’re past all that, now that we’re using Ethernet on the plant floor everywhere, right, almost everywhere, on all new systems, definitely, that that becomes the right now on this on the today on the, on the chart. And I’ll turn it back to you, Henrik. Henrik Pedersen (OTee): Yeah. I’ll search that. I just wanna echo that as I think that there are really good reasons for why this has happened. Like, the there has you could argue that innovation could flourish on the IT side because there was less critical systems, right, less, more, you know, you can do to fail fast and you can do, you can test out things on a different level. And so so there’s really lots of good reasons for why this has happened. We do believe that right now there is some really excitement around innovation, the OT side of things and and this pent up kind of, I wouldn’t call it frustration, but this pent up potential, I think is the right word, is is can be kind of unleashed in our industry for for the next, next decade. So so we are like this is really one of the key motivators for me personally. It’s, like, I truly believe there’s something truly big going on right now. And and I I do I do encourage everyone, everyone listening, like, get in get in on this. Like, this is happening. And, you know, be an entrepreneur as well. Like, build your company, build and, you know, create something new and exciting in this space. I think I think this is this is a time that there hasn’t been a better time to create a new new technology company or a new service company in this space. So this this, this is something at least that motivates me personally a lot. So let me move over to kind of what we do. I mentioned I mentioned that we focus solely on the virtual PLC. This this is now presented in the slide for those that are listening as a as a box inside a open hardware. We can deploy a virtual PLC on any, ARM thirty two thirty two and and sixty four bit processor and x eighty six sixty four bit with the Linux kernel. So so there are lots of great, options to choose from on the hardware side. And and, and yeah. So you can obviously when you have a Virtual PLC you can think of it new in terms of your system architecture. You could for instance, you know deploy multiple Virtual PLCs on this on the same hardware and you can also, think about it like you can use a virtual PLC in combination with your existing PLCs and could work as a master PLC or some kind of optimization deterministic controller. So it’s it’s really just opening up that, you know, that architectural aspect of things. Like you can think new in terms of your system architecture, and you have a wide range of hardware to choose from. And, and yeah, So the the flexibility is really the key here, flexibility in how you architect your system. That CPU that you deploy on will will obviously be need to be connected to to the field somehow, and that’s that’s true, classical remote IO, connections. So we currently support, Modbus TCP and Ethernet IP, which is kind of deployed to to, our production environment, as it’s called. So moving on to the next slide. Like, this is kind of the summary of our solution. We have built a cloud native IDE. So meaning anyone can can basically go to our website and log in to into the solution and and give it a spin. And, we’ll show you that afterwards with with Jake. And the system interacts through a PubSub data framework. We use a specific technology called NUTS, for the PubSub communication bus. And you can add MQTT or OPC UA to the PubSub framework, according to your needs. So, and from that, you can integrate with, whatever whatever other, software you might have, in your system. So we have these value points that we always like to bring up. Like, this obviously breaks some kind of vendor lock in in terms of the hardware and the software. But it’s also, our virtual PLC is based on on the six eleven thirty one. So it’s not a lock in to any kind of proprietary programming language or anything like that. There is, there’s obviously the cost, element to this that you can potentially save a lot of cost. We have, we have verified with with with some of our customers that they estimate to save up to 60% in total cost of ownership. This is there is obviously one part is the capex side and the other part is is the opex. And and is this data framework, as I mentioned, is in in in which itself is is future proof to some extent. You can you can integrate whatever comes comes in in a year or or in a few years down the line. And, there’s environmental footprint argument for this as you can save a lot on the on the infrastructure side. We have one specific customer that estimates to save a lot on and this this particular point is really important for them. And then final two points is essentially that we have built in a zero trust based security, principle into this solution. So we have role based access control. Everything is encrypted end to end, automatic certification, and things like that. The final point is, is that this is the infrastructure that allows you to bring AI and the classical, DevOps, the the thing that we’re very used to in the IT side of things. Like, you you commit and merge and release, instead of, instead of the traditional, way of working with your automation systems. So I know this is like, this is pro pretty much, like, the boring, sales pitch slide, but, but, yeah, I just wanted to throw this this out there for for the guys that there is some there is some, intrinsic values underneath here. The way the system works, you will you will see this very soon, through the demo, but it’s basically you just go to a website, you log in, you create a project. In there, you would create your your PLC program, test, you code, you simulate. You would onboard a device. So onboard that Linux device that you you want to deploy on. This can be as simple as a Raspberry Pi, or it can be something much more industrial grade. This depends on on on the use case. And then you would deploy services like, as I mentioned, MQTT and OPC UA, and then you would manage your your your system from from the interface. And, I have this nice quote that we got to use from one of the customers we had. This is a global, automotive manufacturer that, basically tells us that it’s, they they highlighted the speed in which you can set this up, as as one of the biggest values for them, saving them a lot of hours and setting setting up the system. So I also wanted to show you a real you know, this is a actual real deployment. It was it was deployed about a year ago, and this is a pump station, or a water and wastewater operator with around 200 pump stations. They had a mix of of Rockwell and Schneider PLCs, and they had a very high upkeep, and they were losing a lot of data from these stations because they were connected over four g. When the Internet was a bit poor, they lost a bit of data in their SCADA systems, so they had these data gaps and things like that. So pretty pretty, you know, standard legacy setup to be to be honest. Quite outdated PLCs as well. So what they what they did for the first, pump station was they they, you know, removed the PLC. They put in a Raspberry Pi for for, like, €60 or, like, $70, connected it to to a to a remote IO Ethernet IP module they had, in in the storage, and deploy this data framework as I’m showing on the screen now. So so they that was that was the first station they put online, and they they chose a Raspberry Pi because they thought, okay, this is interesting, but will it work? And then they chose a pump station, which was was really just poor from before. So they had very little to to to lose to to deploy on this station. So so, yeah, this has been running for a year now without any any problems on a Raspberry Pi. We have obviously advised against using a Raspberry Pi in a critical environment, but they just insisted that that what that’s what they wanted to do for this first case. Shawn Tierney (Host): And I’ll back that up too. Your generic off the shelf Raspberry Pi is just like a generic off the shelf computer. It’s not rated for these type of environments. Not that all pump houses are really bad, but they’re not air conditioned. And I think we’ve all had that situation when it’s a 120, 130 out that, you know, off the shelf computer components can act wonky as well as when they get below freezing. So just wanted to chime in there and agree with you on that. For testing, it’s great. But if you’re gonna leave it in there, if you were in my town and you say you’re gonna leave that in there permanently, I would ask to have you, assigned somewhere else for the town. Henrik Pedersen (OTee): Yeah. Yeah. Exactly. No. So and and that point is also illustrated with the second station they brought online. So there they chose a much more industrial grade CPU, that, that, was much, you know, cost cost a bit more, but it’s more suited for the environment. And, and yeah. So this was, I can disclose it was a Bayer Electronics, CPU. So so yeah. And, and they reported, some good, good metrics in terms of, like, the results. They they said around 50 on the hardware, 75% on the management of the PLC system. So this relates more to that they have very a lot of, you know, driving out with the car to these stations and doing changes to their systems and, and updates. They no longer have any, any data loss. It’s local buffer on the data framework. They’ve increased tag capacity with 15 x, resulting in in four fifty five x better data resolution and a faster scan frequency. And this is actually on the Raspberry Pi. So so just just think of it as as the the even the even the, kind of the lowest quality IT off the shelf, computers, are are able to to, to execute really fast in in in, or fast enough for for, for these cases. So, Shawn, that was actually what I wanted to say. And, and also, you know, yeah, we are we are a start up, but we do have, fifth users now in 57 different countries across the world. And it’s it’s really cool to see our our our, our technology being deployed around the world. And, and yeah. I’m really, really excited to to, to get more, users in and and hear what they what they, think of the solution. So so yeah. I’ll I’ll with that, I don’t know if, Shawn, you wanna you shoot any questions or if we should hand it over to Jake for for for a demo. Shawn Tierney (Host): Yeah. Just before we go to Jake, if somebody who’s listening is interested, this might be a good time. It said that, you already talked about being cloud based. It’s, o t e e. So Oscar Tom, Edward Edward for the the name of the company. Where would they go if if they like what Jake’s gonna show us next? Where will they go to find out more? Henrik Pedersen (OTee): Yeah. So I would honestly propose that they just, reach out to to me or Jake, on on one of the QR codes that we have on the presentation. But they can also obviously go to our website, 0t.io,0tee.io, and just, either just, log in and test the product, or they could reach out to us, through our website, through the contact form. So yeah. Shawn Tierney (Host): Perfect. Perfect. Alright, Jake. I’ll turn it over to you. Jacob Abel (Edgenaut): Thanks, Shawn. Fantastic stuff, Henrik. I wanna take a second too to kinda emphasize some of the technical points that you, presented on. Now first, the the fact that you have the built in zero trust cybersecurity is so huge. So, I mean, the OT cybersecurity is blowing up right now. So many certifications, you know, lots of, consulting and buzz on LinkedIn. I mean, it’s a very real concern. It’s for a good reason. Right? But with this, zero trust built in to the system, I I mean, you can completely close-up the firewall except for one outgoing port. And you have all the virtual PLCs connected together and it’s all done. You know, there’s no incoming ports to open up on the firewall to worry about, you know, that security concern. You know, it’s basically like, you know, you’ve already set up a VPN server, if you will. It’s it’s not the same, but similar and, you know, taking care of that connection already. So there’s an immense value in that, I think. Shawn Tierney (Host): And I wanted to add to the zero trust. We’ve covered it on the show. And just for people, maybe you’ve missed it. You know, with zero trust is you’re not trusting anyone. You authorize connections. Okay? So by default, nobody’s laptop or cell phone or tablet can talk to anything. You authorize, hey. I want this SCADA system to talk to this PLC. I want this PLC to talk to this IO. I want this historian to talk to this PLC. Every connection has to be implicitly I’m sorry. Explicitly, enabled and trusted. And so by default, you know, an an integrator comes into the plant, he can’t do anything because in a zero trust system, somebody has to give him and his laptop access and access to specific things. Maybe he only gets access to the PLC, and that makes sense. Think about it. Who knows whether his laptop has been? I mean, we’ve heard about people plug in to the USB ports of the airport and getting viruses. So it’s important that person’s device or a SCADA system or a historian only has access to exactly what it needs access to. Just like you don’t let the secretary walk on the plant floor and start running the machine. Right? So it’s a it’s an important concept. We’ve covered it a lot. And and, Jake, I really appreciate you bringing that up because zero trust is so huge, and I think it’s huge for OT to have it built into their system. Henrik Pedersen (OTee): Yeah. Absolutely. Absolutely. Jacob Abel (Edgenaut): I wanted to highlight too the Henrik mentioned that the the backbone of the system is running on a technology called NATS. That’s spelled n a t s. And why that’s important is this is a a lightweight messaging, service, and it’s designed to send millions of messages per second. You know, that’s opposed to, you know, probably the best Modbus TCP device that you can find. You might get a couple 100 messages through per second. It’s millions of messages per second. It’s, you know, especially with, you know, we’re dealing with AI machine learning, you know, training models. I mean, we’re data hungry. Right? So this gives you the backbone too. You know, it’s like it can push an immense amount of tag data, you know, with ease. I think that’s another really important point. With that, though, I’ll I’ll get on to the demo. Henrik Pedersen (OTee): Oh, that’s great. We do we do see that, Jay, that most of our customers report on that, you know, 400 or 700 x better data resolution. And so it’s it’s a step change for for for the data resolution there. Yeah. Jacob Abel (Edgenaut): Excellent. So one of the things that I personally love about OT is how quickly you can get into the PLC once everything’s set up. So this is OT’s website, obviously, ot.io. So once you’re here, you just go to log in. And that brings in the login screen. Now I’m are I’m using my Google account for single sign on, so I can just click continue with Google. And this brings me into the main interface. And another thing that I love is that, you know, it is very simple and straightforward, you know, and simple is not a bad thing. Simple is a good thing. I mean, the way that things should be is that it should be, it should be easy and the finer details are taken care of for you. So right here, we have our main project list. I just have this one benchmarking program that I’ve imported in here. And you also have device lists, just a a test device that I’ve installed the runtime on. Just real quick. You know, you have a Martha, the AI assistant in the corner here. And, the documentation guides is up here. So you can get help or look into reference material very easily. It’s all right there for you. So I’m gonna open up this program here. So just a quick tour here. Right up here in the top left is basically where where most everything’s done. So if you click on this little down arrow, you can choose what virtual PLC runtime to attach it to. I’ve already attached it to the device. I installed the runtime on. You can add, you know, a new program, driver, function blocks, custom data types real quick here. Compile your program, download it to the device. Check the release history, which is really, really great. As you can, you can go into release history and you can revert to a prior version very easily. We got built in, version control, which is another, great feature. Henrik Pedersen (OTee): I can also just comment on that, Jake, that we do have we do have, in the quite short term roadmap to also expand on that with Git integration, that, a lot of our customers are are asking for. So yeah. Jacob Abel (Edgenaut): Awesome. Yeah. I mean, that’s that’s another, very hot topic right now. It’s, you know, getting getting the revision control systems, as part of, you know, at least the textual, programming languages. See, so, you know, we have a few, like, housekeeping things here. I mean, you can delete the program, export it. It’s a good good point here is that, OT complies with the PLC open, XML specification. So you can import or export programs, in this XML format, and it should work with solid majority of other automation software out there. You know, if you need to, you want to transition over to OT, you know, you can export it from your other software and import it rather easily. Got your program list here and, you know, just the basic configuration of, you know, you can add global variables that you wanna share between the different programs and POUs or, you know, change the, cycle rate of the periodic tasks, add more tasks. Let’s just get jump into this program here. Both the system uses the IEC sixty one one thirty one dash three standard structured text. So here’s just a little, quick benchmark program that I’ve been using to do some performance testing. Like you, you have the, the code right here, obviously. And on our, our right, the variable list, very easy to add a new variable and pick out the type. You can set a set of default value, add some notes to it. Super easy. So let’s go online. So if you have these little glasses up here in the top, right, you display live tag values. And so it’s grabbing from the runtime that’s running and plopping it right in here in the editor, which I I love the way it’s displayed. It makes it. And, you know, it’s one of the question marks is if you’re doing structured text instead of letter logic, like how it’s gonna show up and how readable is it gonna be. I think the, the text, like the color contrast here helps a lot. It’s very, very readable and intuitive. And we also have the tag browser on the right hand side. Everything is, organized into, you know, different groups. There’s the the resources and instances that you’ve set up in the configuration tab. So the by default, the tag the tags are all listed under there. And here too, you know, you can set tag values doing some performance testing, as I said. So this is, recording some some jitter and task time metrics. And that’s that’s really it. That’s the that’s the cloud IV in a nutshell. Super easy, very intuitive. I mean, it’s there there’s zero learning curve here. Shawn Tierney (Host): For the, audio audience, just a little comment here. First of all, structured text to me seems to be, like, the most compatible between all PLCs. So, you know, everybody does ladder a little bit differently. Everybody does function blocks a little bit differently. But structured text and, again, I could be wrong if you guys think out there in the in listening, think I’m wrong about that. But when I’ve seen structured text and compared it between multiple different vendors, it always seems to be the closest from vendor to vendor to vendor. So I can see this makes a great a great place to start for OT to have a virtual PLC that supports that because you’re gonna be able to import or export to your maybe your physical PLCs. The other thing is I wanted to comment on what we’re seeing here. So, many of you who are familiar with structured text, you know, you may have an if then else, or an if then. And and you may have, like, tag x, equals, you know, either some kind of calculation, you know, maybe, you know, z times y or just maybe a a constant. But what we’re seeing here is as we’re running, they have inserted at a in a different color the actual value of, let’s say, tag x. So in between you know, right next to tag x, we see the actual value changing and updating a few times a second. And so it makes it very easy to kinda monitor this thing while it’s running and see how everything’s working, and I know that’s that’s huge. And I know a lot of vendors also do this as well, but I love the integration here, how it’s so easy to see what the current values are for each of these variables. And, I’ll turn it over to you, Hendrick. I think I interrupted you. Go ahead. Henrik Pedersen (OTee): Yeah. No. I was just gonna comment on that. Jake said, like, this is the this is the POC editor, and the next the next big feature that we’re releasing very soon is essentially the service, manager, which is the, which is the feature that will allow our users to deploy any kind of service very efficiently, like another runtime or OPC UA server or an entity server or or or whatever other, software components that that, you want to deploy, like a Knox server or things like that. So and that’s that’s, we were really excited about that because, that will kind of allow for a step change in how you kind of orchestrate and manage your system and your, your system and your, your, you have a very good overview of what’s going on with versions of, of the different software components running in your, your infrastructure and your devices and things like that. So we’re really excited about that, that it’s coming out. And it might be that actually when when this, episode airs, who knows if it’s if it’s done or or not, but we’re very close to release the first version of that. So excited about that. Shawn Tierney (Host): Now I have a question for you guys, and maybe this is off topic a little bit. So let’s say I’m up here in the cloud. I’m working on a program, and I have some IO on my desk I wanna connect it to. Is that something I can do? Is there a connector I can download and install my PC to allow the cloud to talk to my IO? Or is that something where I have to get a a, you know, a local, you know, like we talked about those industrial Linux boxes and and test it here with that? Henrik Pedersen (OTee): Yeah. So I think you what you what you’re you’re after is, like, the IO configuration of, if you wanna deploy a driver, right, or, like, a modbus driver and how you figure out the system. Right? Shawn Tierney (Host): Yeah. Because this is in the cloud. It’s not on my desk. The IO is on my desk. So how would I connect the two of them? How would I is is that something that can be done? Henrik Pedersen (OTee): Yep. Yeah. Exactly. That’s that’s actually the you know, I I think, Jake, you might just wanna show why you deploy a driver. Right? Jacob Abel (Edgenaut): Sure. Sure. And I just wanna take a second to, clarify. You know, it’s something that kinda comes up often, and I I don’t I don’t think it gets it’s it’s cleared up enough is that so, you know, we have this cloud ID here. So, you know, you can open this from anywhere in the world. But the virtual PLC run times get installed on computers preferably very locally, you know, on the machine, on the factory floor, something like that. I I’ve got, an edge computer right here. Just as an example. I mean, this is something you would just pop in the control panel and you can install OT on this. So to answer your question better, Shawn, you know, to get to, you know, the remote IO that you need essentially, or actually in the, in the case of this, this has onboard IO. You know, you’re looking at connecting with MOBAs, PCP, Ethernet IP. I I know that a lot more protocols are coming. Profinet. So how you would do that is that you have that plus sign up here and add a driver config. We’re just gonna do, Modbus real quick. Henrik Pedersen (OTee): Mhmm. Jacob Abel (Edgenaut): And we wanna add a TCP client. So you can name the client, tell it how fast to pull, you know, any delays, put in the IP address. Just an example. Do the port number if you need and then add your requests. You know, you have support for, all the main function codes and mod bus right here, you know, read holding, read input, you know, write multiple coils, all that good stuff, you know, tell address how many registers you wanna do, timeouts, slave ID. And then, you know, once you’ve done that, so let’s say, you know, I’m gonna read, and holding registers here, the table on the right auto updates. You can do aliases for each one of these. You can just do register one Mhmm. As an example Shawn Tierney (Host): It’s showing just for the audio audience, it’s showing the absolute address for all these modbus, variables and then, has the symbols, and he’s putting in his own symbol name. It has a default symbol name of symbol dash something, and he’s putting his own in, like, register one, which makes it easier. Yeah. Jacob Abel (Edgenaut): Good point. Yeah. Good point. Thanks, Shawn. So, yeah, once once you put in your request and you can throw in some aliases, for the different registers, you know, you can go back to your program and here’s this, sample variable that I just added from earlier. You know, you can the registers are 16 bits. I’m gonna select, an int. And what you can do here now is select those modbus requests that you just set up. So it automatically maps these to those variables for you. So that that way you don’t have to do anything anything manual, like have a separate program to say, you know, this tag equals, you know, register 40,001. You know, it’s already mapped for you. So that’s that’s essentially how you would connect to remote IO is, just add a client in the driver configs and, fill in all your info and be off and running. Shawn Tierney (Host): That’s excellent. I really liked how you were able to easily map the register to the modbus value you’re reading in or writing to to your, variable so you can use that in your program. That was very easy to do. Jacob Abel (Edgenaut): Oh, yeah. Yeah. It’s that it’s like I said, that’s one of the things that I love about this interface is that everything is just very straightforward. You know, it’s it’s super easy to just stumble upon whatever it is you need and figure it out. Henrik Pedersen (OTee): And just just, to add to to kinda your your processors, like, once you have created that connection between the IO and and and the program, you basically just, compile it and download it to the to the runtime again, and and it executes locally the based on the yeah. Nice. Jacob Abel (Edgenaut): Oh, right. Good point. Yeah. Of of course, after we add something, we do have to redownload. So Shawn Tierney (Host): Very interesting. Well, that answers my question. Jacob Abel (Edgenaut): I think that’s that’s about it for the the demo. I mean, unless, Shawn, you have any more questions about the interface here. Shawn Tierney (Host): No. It looked pretty straightforward to me, Hendrik. I don’t know. Did you have anything else you wanted to discuss while we have the demo up? Henrik Pedersen (OTee): Nope. Not nothing related to this except for that, you know, this is probably something that’s quite new in the OT space is that this is a software service, meaning that there are continuous development going on and releases, and improvements to the software all the time. Like literally every week we deploy new improvements. And, and what, I typically say is that like, the, you know, if you if you if you sign up with OT, what you what you will experience is that the actual software keeps on becoming better over time and not is not going to become outdated. It’s going to be just better over time. And I think that’s part of what I really loved about the innovation space, innovation happening around IT is that that, that has become the new de facto standard in how you develop software and great software. And I think we in, in, in the OT space, we need to adopt that same methodology of developing software, something that continuously becomes better over time. Shawn Tierney (Host): Yeah. And I would just say, you know, if you’re if you’re on the OT side of things, you wanna be in six eleven thirty one dash three languages, because these are things that your staff, you know, what you know, your electricians and technicians and even engineers, you know, should know, should be getting up to speed. I don’t know. We’re at the automation school. We’re teaching, structured text. And so, easier. I look at this, and I’m like, this is a lot easier than trying to learn c plus or or JavaScript. So in any case, I think, you know, if it’s an OT side real IO control, real control system or data collection, you know, you know, very important, you know, mission critical data collection, then, you know, I’d rather have this than somebody trying to write some custom code for me and, you know, use some kind of computer language who doesn’t understand, you know, the OT side of things. So, I could definitely see the advantage of your system, Henrik. Henrik Pedersen (OTee): Yep. I I I also wanted to say to that, Stike, the I I do not believe the EIC standards in general will disappear. They exist for a very good reason. Right. Exists to standardise to to ensure safety and determinists, determinism in this. So I don’t think they will disappear. But there are obviously advances now with AI and things like that that can can help us create these things much faster and much more efficient and things like that. So, so but, but the EIC standards, I think, will be there for a very long time. Obviously, the 06/4099 standard is is really exciting, and and we believe that that can be, yeah, that that can clearly be there, but it’s still a new EIC standard. So, Shawn Tierney (Host): it’s not think what we’re gonna see is we’re gonna see a lot more libraries fleshed out. There’ll be a lot less writing from scratch. We’ve interviewed on the History of Automation podcast. We’ve interviewed some big integrators, and they’re at a point now, you know, twenty, thirty years on that they have libraries for everything. And I think that’s where we’ll see, you know, much like the DCS, I think, vendors went two years ago. But I still think that the there’s a reason for these languages. There’s a reason to be able to edit things while they run. There’s a reason for different languages for different applications and different, people maintaining them. So I agree with you on that. I don’t I don’t think we’re we’re gonna see the end of these, these standard languages that have done us very well since the, you know, nineteen seventies. Jacob Abel (Edgenaut): I just wanna add a bit on there about, Shawn, you mentioned, you know, doing less code. I I did show earlier in the bottom right hand corner here, we have our our little AI assistant, Martha. I don’t believe the feature, it has been released yet. You know, Henrik, correct me if I’m wrong, but I know one of the things that’s coming is, AI code generation, you know, similar to that of cloud or chat GPT. So it’s going to, you know, you can open this guy up here. You know, right right now, I think it’s just for, help topics, but you’ll be able to talk to Martha and she’s gonna generate code for you in your program there all built in. Henrik Pedersen (OTee): Yeah. Yeah. That’s that’s coming really fast now. So, it’s it’s not been implemented yet, but it’s, it’s right around the corner. Shawn Tierney (Host): Yeah. And it’s it’s not gonna be able to it’s you’re not gonna be able to hook a camera up to it and, like, take pictures of your machine and say, okay. Write the control code for this. But, you know, if you had a, you know, process that had 12 steps in it, the AI could definitely help you generate that code and and other code. And we’ll have to have Henrik and Jake back on to talk about that when it comes out, but, you know, it’s gonna be able to save you, reduce the tedious part of the the coding. You know, if you need an array of so many tags and so many dimensions or, you know, the stuff that, you know, it would just be the typing intensive, it’s gonna be able to help you with that, and then you can actually put the context in there. Just like, you can pull up a template in Word for a letter, and then you can fill in the blanks. You know? And and, of course, AI is helping make that easier too. But, in any case, Henrik, maybe you can come back on when that feature launches. Henrik Pedersen (OTee): Yeah. Absolutely. And I’m also excited about just a simple a use case of of translating something. Right? Translating your existing let’s say if it’s a proprietary code or something like that, like, getting it getting it standardized and translating it to the ESE six eleven thirty one standard, for instance, or, so so the obviously AI is, like, perfect for this space. It’s there is no doubt, And and it’s, like, that’s also why I’m so excited about, like, what’s going on at the moment. It’s like there’s so much innovation potential, in the on the OT side now that, they are with all these new technologies. Shawn Tierney (Host): Yeah. Absolutely. Absolutely. Well, gentlemen, was there anything else you wanted to cover? Henrik Pedersen (OTee): I think just just one final thing from from me is, like, we thought a lot about it, like, before this this episode, and we thought, like, let’s offer let’s offer the listeners something something of of true value. So so we thought, the, you know, after this after this episode launched, we want to want to offer anyone out there that’s listening a free, completely hands on trial of our technology, in their in their in their environment or on their Raspberry Pi or whatever. So just just reach out to us if you wanna do that. And, and I yeah. We’ll get you set up for for for testing this, and it’s not gonna cost you anything. Shawn Tierney (Host): Well, that’s great. And, guys, if you’re listening, if you do take advantage of that free trial, please let me know what you thought about it. But, Henrik, thank you so much for, that offer to our listening audience. Guys, don’t be bashful. Reach out to him. Reach out to Jake. Jake, thank you for doing the demo as well. Really appreciate it. My pleasure. Any final words, Henrik, before we close out? Henrik Pedersen (OTee): No. It’s been great. Great, being here, Shawn, and thanks for for helping us. Shawn Tierney (Host): Well, I hope you enjoyed that episode. I wanna thank Hendrik and Jacob for coming on the show, telling us all about OT virtual PLCs, and then giving us a demo. I thought it was really cool. Now if any of you guys take them up on their free trial, please let me know what you think. I’d love to hear from you. And, with that, I do wanna thank OT for sponsoring this episode so we could release it completely ad free. And I also wanna thank you for tuning back in this week. We have another podcast coming out next week. It’ll be early because I will be traveling and doing an event with a vendor. And so expect that instead of coming out on Wednesday to come out on Monday if all goes as planned. And then we will be skipping the Thanksgiving, week, and then we’ll be back in the in the, in December, and then we have shows lined up for the new year already as well. So thank you for being a listener, a viewer, and, please, wherever you’re consuming the show, whether it’s on YouTube or on the automation blog or at iTunes or Spotify or Google Podcasts or anywhere, please give us a thumbs up and a like or a five star review because that really helps us expand our audience and find new vendors to come on the show. And with that, I’m gonna end by wishing you good health and happiness. And until next time, my friends, peace. Until next time, Peace ✌️  If you enjoyed this content, please give it a Like, and consider Sharing a link to it as that is the best way for us to grow our audience, which in turn allows us to produce more content

Review of lead II ECG characteristics, rules to identify first and third degree heart blocks, and treatment following the ACLS Bradycardia algorithm.To pass ACLS, you will need to be able to identify common rhythms on a monitor during your mega code and ECG strips on your written exam.Review of normal ECG morphology in lead II.Characteristics of first-degree heart block.Characteristics of third-degree (complete) AV block.Treatment of unstable patients in third degree block following the ACLS Bradycardia algorithm.Special considerations for use of Atropine when patients are in a third-degree heart block.The use of TCP, Dopamine, & Epinephrine drip for unstable bradycardic patients refractory to Atropine.Good luck with your ACLS class!Links: Buy Me a Coffee at https://buymeacoffee.com/paultaylor Free Prescription Discount Card - Get your free drug discount card to save money on prescription medications for you and your pets: https://safemeds.vip/savePass ACLS Web Site - Other ACLS-related resources: https://passacls.com@Pass-ACLS-Podcast on LinkedIn

Scans for WSUS: Port 8530/8531 TCP, CVE-2025-59287 We did observe an increase in scans for TCP ports 8530 and 8531. These ports are associated with WSUS and the scans are likely looking for servers vulnerable to CVE-2025-59287 https://isc.sans.edu/diary/Scans%20for%20Port%208530%208531%20%28TCP%29.%20Likely%20related%20to%20WSUS%20Vulnerability%20CVE-2025-59287/32440 BADCANDY Webshell Implant Deployed via The Australian Signals Directorate warns that they still see Cisco IOS XE devices not patches for CVE-2023-20198. A threat actor is now using this vulnerability to deploy the BADCANDY implant for persistent access https://www.cyber.gov.au/about-us/view-all-content/alerts-and-advisories/badcandy Improvements to Open VSX Security In reference to the Glassworm incident, OpenVSX published a blog post outlining some of the security improvements they will make to prevent a repeat of this incident. https://blogs.eclipse.org/post/mika l-barbero/open-vsx-security-update-october-2025

This week the crew sits down with Brian London, Sommelier and wine buyer for one of Sonoma County's most beloved spots, Table Culture Provisions. Known for its eclectic and adventurous wine list, TCP has become a favorite among locals and winemakers alike — and Brian is the man behind its carefully curated selections. After falling in love with France during a trip with his fiancée, Brian began importing small-production wines to the States, eventually launching 4Play Wines, a boutique distributorship focused on producers with meticulous farming practices and distinct personalities. He shares stories from his travels, insights into sourcing hidden gems, and even kicks things off by pouring a 2014 Beaujolais and some White Burgundy — instantly winning over the hosts. Plus, a special drop-in from Isabel Gassier wraps up this lively and wine-soaked conversation. [Ep 389] @tcprovisions | @4playwines | @isabelgassierwine

Falo sobre a Operação "contenção" que gerou mais de 100 mortes no dia 28 de outubro de 2025 no Rio. Discuto algumas questões de Direito e de logística da operação.

Today we welcome Ellen Lunay, the founder of Here: A Pop-Up Shop in Annapolis, whose life took a dramatic turn when a routine mammogram in August 2022 revealed breast cancer. At 54, at the same moment she'd just dropped her oldest daughter off at college and was prepping for her fall pop-up shop, Ellen found herself walking through surgery, radiation, business care and motherhood all at once.  In this episode, El opens up about what carried her through: the power of community over competition, learning how to ask for help, embracing grace and boundaries, and why sharing your story matters. If you're navigating a health challenge, a business hurdle, or wondering how to build meaningful connections in your life, you'll want to hear this. In this episode: How Ellen discovered the diagnosis and how she responded immediately. Why the community she built through her business became one of her greatest supports. The difference between being the giver and being willing to receive help. How naming your story actually helps calm your nervous system and guide decisions. Why rest, grace and boundaries are essential — especially when you're used to “hustle.” What's changed for Ellen for the better since her diagnosis — how she now shows up differently in business, in motherhood, in life. Words of encouragement for anyone facing big change or a health scare: how to breathe, how to advocate, how to accept help. This episode was brought to you by Leading Lady Coaching. Learn more here: https://leadinglady-coaching.com/ This episode is brought to you by TCP Youth Empowerment. Every child deserves someone in their corner. To sponsor a child, visit TCP to 44-321 or visit https://www.tcpyouthempowerment.org/   Connect with El: Website: https://www.hereapopupshop.com/ Instagram: https://www.instagram.com/hereapopupshop/ Read El's Chapter in We Lead: https://www.amazon.com/We-Lead-Connection-Community-Collaboration/dp/1961493527   Connect with us!    The Ultimate Self Care Planner: https://elizabethharrisnutrition.ck.page/9e817ab37e   Elizabeth Harris, MS, RDN, LDN FB: Health and Healing with Intuitive Eating community https://www.facebook.com/groups/healthandhealingwithintuitiveeating Instagram: https://www.instagram.com/ElizabethHarrisNutrition Free download to break up with diet culture: https://elizabethharrisnutrition.com/invisible-diet   Tara De Leon, Master Personal Trainer Email: FitnessTrainer19@hotmail.com Instagram: https://www.instagram.com/tara_de_leon_fitness Join Tara's Newsletter: https://mailchi.mp/5290e3f13e08/email-signup Maria Winters, LCPC, NCC Instagram: https://www.instagram.com/coaching_therapist/ FB: https://www.facebook.com/MWcoachingtherapy Website: www.thecoachingtherapist.com

La Mesa - Miércoles 29.10.2025 - Trabajadores de TCP alcanzaron acuerdo con Katoen Natie y puso fin a un conflicto de casi un mes que dejó pérdidas millonarias by En Perspectiva

Bradycardia review including: stable vs unstable patients; assessment & monitoring; and ACLS treatment with Atropine, TCP, Dopamine, & Epinephrine drips.Signs & symptoms that indicate a bradycardic patient is unstable.Monitoring oxygen saturation with pulse oximetry and indications for administration of oxygen.Calcium channel blockers and beta blocker medication as treatable causes of bradycardia.The indications and dosage of Atropine.Precautions for Atropine use in patients with second or third degree AV blocks.The use of transcutaneous pacing (TCP) for unstable bradycardic patients refractory to Atropine.The use and dosing of Dopamine and Epinephrine drips.For additional information about causes and treatment of bradycardia, check out the pod resources page at PassACLS.com.**American Cancer Society (ACS) Fundraiser This is the seventh year that I'm participating in Men Wear Pink to increase breast cancer awareness and raise money for the American Cancer Society's life-saving mission.I hope you'll consider contributing.Every donation makes a difference in the fight against breast cancer! Paul Taylor's ACS Fundraiser Page: http://main.acsevents.org/goto/paultaylorTHANK YOU for your support! Good luck with your ACLS class!Links: Buy Me a Coffee at https://buymeacoffee.com/paultaylor Free Prescription Discount Card - Get your free drug discount card to save money on prescription medications for you and your pets: https://safemeds.vip/savePass ACLS Web Site - Other ACLS-related resources: https://passacls.com@Pass-ACLS-Podcast on LinkedIn

professorjrod@gmail.comEver wish the network would just explain itself? We walk through the real language of connectivity—how links come alive, how packets choose their paths, and how a few core ideas unlock routers, firewalls, addressing, and the exam questions that test them. It starts with the wire (and the air): DSL over copper, cable scaling with DOCSIS, fiber to an ONT at your home, and why fixed wireless, satellite, and 5G fill coverage gaps with very different tradeoffs in speed and latency. From there, we draw the line between moving traffic and governing it. Routers forward based on IP and subnets; firewalls enforce policy using IPs, protocols, and ports—think velvet rope, but for packets.We bring the TCP/IP stack down to earth with a clean mental model of layers and encapsulation, then dig into IPv4 addressing, subnet masks, and private ranges that rely on NAT to share a single public IP. You'll learn why static IPs belong on printers and servers, how DHCP's DORA flow keeps clients online, and what APIPA is telling you when a lease fails. We also size up IPv6—128-bit addresses, hexadecimal notation, dual stack—and unpack the practical roadblocks that slow adoption despite the promise of massive address space.Transport choices make or break performance, so we compare TCP's three‑way handshake and delivery guarantees with UDP's low-latency approach favored by streaming and gaming. We highlight the ports every tech should know—22, 53, 80, 443, 67/68, 21/20, 3389—because port literacy speeds troubleshooting. On identity and isolation, we translate DNS records (A, AAAA, CNAME, MX, TXT) into everyday use and show how VLANs reduce broadcast noise while VPNs protect data over untrusted networks. To cement it all, we run live quiz walkthroughs and model how to spot keywords, eliminate distractors, and reason under time pressure—skills you can carry straight into the CompTIA A+ and beyond.If this helped you think more clearly about networks, follow the show, leave a rating, and share it with a friend who's studying. Got a topic you want us to deep-dive next—DHCP, DNS, or VLANs? Drop a note and subscribe so you don't miss the next breakdown.Inspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifySupport the showArt By Sarah/DesmondMusic by Joakim KarudLittle chacha ProductionsJuan Rodriguez can be reached atTikTok @ProfessorJrodProfessorJRod@gmail.com@Prof_JRodInstagram ProfessorJRod

One method of interpreting ECGs to identify the characteristics of second-degree AV blocks and the treatment of unstable bradycardia patients with them.To pass the written ACLS exam and mega code, students need to be able to identify basic ECG dysrhythmias, including the two types of second-degree heart block.One method of ECG rhythm identification.ECG characteristics of a second-degree Mobitz type I (Wenckebach).Identification of unstable bradycardia and its treatment with Atropine.ECG characteristics of a second-degree Mobitz type II.Possible effect of using Atropine on patients with a second-degree type II AV block.Treatment of unstable bradycardic patients refractory to Atropine using TCP, Dopamine, or Epinephrine drip.Starting dose and titration of Dopamine and Epinephrine drips.**American Cancer Society (ACS) Fundraiser This is the seventh year that I'm participating in Men Wear Pink to increase breast cancer awareness and raise money for the American Cancer Society's life-saving mission.I hope you'll consider contributing.Every donation makes a difference in the fight against breast cancer! Paul Taylor's ACS Fundraiser Page: http://main.acsevents.org/goto/paultaylorTHANK YOU for your support! Good luck with your ACLS class!Links: Buy Me a Coffee at https://buymeacoffee.com/paultaylor Free Prescription Discount Card - Get your free drug discount card to save money on prescription medications for you and your pets: https://safemeds.vip/savePass ACLS Web Site - Other ACLS-related resources: https://passacls.com@Pass-ACLS-Podcast on LinkedIn The Curious Clinicians: History of Doctor Wenckebach & Mobitzhttps://curiousclinicians.com/2022/07/06/episode-52-way-back-wenckebach/Practice ECGs with rationale at Dialed Medics:https://dialedmedics.com/

Review the 2020 ACLS Atropine and Dopamine guidelines for the treatment of unstable bradycardia, including: dosing, administration, and precautions.When we should use the bradycardia algorithm.The signs & symptoms of unstable bradycardia.Atropine's bradycardic dose and maximum.The use of atropine when a patient is in a second degree type II or third degree heart block.ECG changes that indicate subsequent doses of atropine are likely to be ineffective.The starting dose of Dopamine.The use of Dopamine for bradycardia as an interim until TCP vs hypotension.The use of Atropine and Dopamine in patients with myocardial ischemia.Podcasts with additional (advanced-provider level) information about bradycardia, Atropine, & Dopamine can be found on the Pass ACLS Pod Resources page.**American Cancer Society (ACS) Fundraiser This is the seventh year that I'm participating in Men Wear Pink to increase breast cancer awareness and raise money for the American Cancer Society's life-saving mission.I hope you'll consider contributing.Every donation makes a difference in the fight against breast cancer! Paul Taylor's ACS Fundraiser Page: http://main.acsevents.org/goto/paultaylorTHANK YOU for your support! Good luck with your ACLS class!Links: Buy Me a Coffee at https://buymeacoffee.com/paultaylor Free Prescription Discount Card - Get your free drug discount card to save money on prescription medications for you and your pets: https://safemeds.vip/savePass ACLS Web Site - Other ACLS-related resources: https://passacls.com@Pass-ACLS-Podcast on LinkedIn

Bret is joined by Philip Andrews and Dan Muret of Cast AI to discuss pod live migration between nodes in a Kubernetes cluster.

It's 1995, it's the summer and all you want to do is party so what do you need? You need a new album featuring Shaun Ryder to neck a load of drugs to and throw yourself around a dancefloor. We're joined by our lovely friend Stephen Hill from the Trve.Cvlt.Pop podcast to cast an eye across Black Grape's debut album 'It's Great When You're Straight... Yeah' and debate its party credentials among other things. The TCP lads have their own episode all about this album on their patreon page already so check it out if you want to hear more of Stephen's opinions. Or, indeed, simply less of ours. We also take the chance to chat about acts such as Moist, Goldie and of course Dog Eat Dog. And we threw in a fruit-based pop quiz in the middle of the episode for a bit of fun because why not, eh? As always please do give us a follow on our social media platforms and why not go and give us a nice rating or comment over on Spotify now that you're able to while you're checking out this episode's companion playlist (which contains ALL of the songs we talk about on this one) and our ongoing and sprawling playlist of songs from each album that we do an episode on. And if you want to donate to our PayPal account for the price of a pint or a cup of coffee that is always appreciated as well obviously. Cheers!

Shawn Tierney meets up with Connor Mason of Software Toolbox to learn their company, products, as well as see a demo of their products in action in this episode of The Automation Podcast. For any links related to this episode, check out the “Show Notes” located below the video. Watch The Automation Podcast from The Automation Blog: Listen to The Automation Podcast from The Automation Blog: The Automation Podcast, Episode 248 Show Notes: Special thanks to Software Toolbox for sponsoring this episode so we could release it “ad free!” To learn about Software Toolbox please checkout the below links: TOP Server Cogent DataHub Industries Case studies Technical blogs Read the transcript on The Automation Blog: (automatically generated) Shawn Tierney (Host): Welcome back to the automation podcast. My name is Shawn Tierney with Insights and Automation, and I wanna thank you for tuning back in this week. Now this week on the show, I meet up with Connor Mason from Software Toolbox, who gives us an overview of their product suite, and then he gives us a demo at the end. And even if you’re listening, I think you’re gonna find the demo interesting because Connor does a great job of talking through what he’s doing on the screen. With that said, let’s go ahead and jump into this week’s episode with Connor Mason from Software Toolbox. I wanna welcome Connor from Software Toolbox to the show. Connor, it’s really exciting to have you. It’s just a lot of fun talking to your team as we prepared for this, and, I’m really looking forward to because I just know in your company over the years, you guys have so many great solutions that I really just wanna thank you for coming on the show. And before you jump into talking about products and technologies Yeah. Could you first tell us just a little bit about yourself? Connor Mason (Guest): Absolutely. Thanks, Shawn, for having us on. Definitely a pleasure to be a part of this environment. So my name is Connor Mason. Again, I’m with Software Toolbox. We’ve been around for quite a while. So we’ll get into some of that history as well before we get into all the the fun technical things. But, you know, I’ve worked a lot with the variety of OT and IT projects that are ongoing at this point. I’ve come up through our support side. It’s definitely where we grow a lot of our technical skills. It’s a big portion of our company. We’ll get that into that a little more. Currently a technical application consultant lead. So like I said, I I help run our support team, help with these large solutions based projects and consultations, to find what’s what’s best for you guys out there. There’s a lot of different things that in our in our industry is new, exciting. It’s fast paced. Definitely keeps me busy. My background was actually in data analytics. I did not come through engineering, did not come through the automation, trainings at all. So this is a whole new world for me about five years ago, and I’ve learned a lot, and I really enjoyed it. So, I really appreciate your time having us on here, Shawn Tierney (Host): Shawn. Well, I appreciate you coming on. I’m looking forward to what you’re gonna show us today. I had a the audience should know I had a little preview of what they were gonna show, so I’m looking forward to it. Connor Mason (Guest): Awesome. Well, let’s jump right into it then. So like I said, we’re here at Software Toolbox, kinda have this ongoing logo and and just word map of connect everything, and that’s really where we lie. Some people have called us data plumbers in the past. It’s all these different connections where you have something, maybe legacy or something new, you need to get into another system. Well, how do you connect all those different points to it? And, you know, throughout all these projects we worked on, there’s always something unique in those different projects. And we try to work in between those unique areas and in between all these different integrations and be something that people can come to as an expert, have those high level discussions, find something that works for them at a cost effective solution. So outside of just, you know, products that we offer, we also have a lot of just knowledge in the industry, and we wanna share that. You’ll kinda see along here, there are some product names as well that you might recognize. Our top server and OmniServer, we’ll be talking about LOPA as well. It’s been around in the industry for, you know, decades at this point. And also our symbol factory might be something you you may have heard in other products, that they actually utilize themselves for HMI and and SCADA graphics. That is that is our product. So you may have interacted it with us without even knowing it, and I hope we get to kind of talk more about things that we do. So before we jump into all the fun technical things as well, I kind of want to talk about just the overall software toolbox experience as we call it. We’re we’re more than just someone that wants to sell you a product. We we really do work with, the idea of solutions. How do we provide you value and solve the problems that you are facing as the person that’s actually working out there on the field, on those operation lines, and making things as well. And that’s really our big priority is providing a high level of knowledge, variety of the things we can work with, and then also the support. It’s very dear to me coming through the the support team is still working, you know, day to day throughout that software toolbox, and it’s something that has been ingrained into our heritage. Next year will be thirty years of software toolbox in 2026. So we’re established in 1996. Through those thirty years, we have committed to supporting the people that we work with. And I I I can just tell you that that entire motto lives throughout everyone that’s here. So from that, over 97% of the customers that we interact with through support say they had an awesome or great experience. Having someone that you can call that understands the products you’re working with, understands the environment you’re working in, understands the priority of certain things. If you ever have a plant shut down, we know how stressful that is. Those are things that we work through and help people throughout. So this really is the core pillars of Software Toolbox and who we are, beyond just the products, and and I really think this is something unique that we have continued to grow and stand upon for those thirty years. So jumping right into some of the industry challenges we’ve been seeing over the past few years. This is also a fun one for me, talking about data analytics and tying these things together. In my prior life and education, I worked with just tons of data, and I never fully knew where it might have come from, why it was such a mess, who structured it that way, but it’s my job to get some insights out of that. And knowing what the data actually was and why it matters is a big part of actually getting value. So if you have dirty data, if you have data that’s just clustered, it’s in silos, it’s very often you’re not gonna get much value out of it. This was a study that we found in 2024, from Garner Research, And it said that, based on the question that business were asked, were there any top strategic priorities for your data analytics functions in 2024? And almost 50%, it’s right at ’49, said that they wanted to improve data quality, and that was a strategic priority. This is about half the industry is just talking about data quality, and it’s exactly because of those reasons I said in my prior life gave me a headache, to look at all these different things that I don’t even know where they became from or or why they were so different. And the person that made that may have been gone may not have the contacts, and making that from the person that implemented things to the people that are making decisions, is a very big task sometimes. So if we can create a better pipeline of data quality at the beginning, makes those people’s lives a lot easier up front and allows them to get value out of that data a lot quicker. And that’s what businesses need. Shawn Tierney (Host): You know, I wanna just data quality. Right? Mhmm. I think a lot of us, when we think of that, we think of, you know, error error detection. We think of lost connections. We think of, you know, just garbage data coming through. But I I think from an analytical side, there’s a different view on that, you know, in line with what you were just saying. So how do you when you’re talking to somebody about data quality, how do you get them to shift gears and focus in on what you’re talking about and not like a quality connection to the device itself? Connor Mason (Guest): Absolutely. Yeah. We I kinda live in both those worlds now. You know, I I get to see that that connection state. And when you’re operating in real time, that quality is also very important to you. Mhmm. And I kind of use that at the same realm. Think of that when you’re thinking in real time, if you know what’s going on in the operation and where things are running, that’s important to you. That’s the quality that you’re looking for. You have to think beyond just real time. We’re talking about historical data. We’re talking about data that’s been stored for months and years. Think about the quality of that data once it’s made up to that level. Are they gonna understand what was happening around those periods? Are they gonna understand what those tags even are? Are they gonna understand what those conventions that you’ve implemented, to give them insights into this operation. Is that a clear picture? So, yeah, you’re absolutely right. There are two levels to this, and and that is a big part of it. The the real time data and historical, and we’re gonna get some of that into into our demo as well. It it’s a it’s a big area for the business, and the people working in the operations. Shawn Tierney (Host): Yeah. I think quality too. Think, you know, you may have data. It’s good data. It was collected correctly. You had a good connection to the device. You got it. You got it as often as you want. But that data could really be useless. It could tell you nothing. Connor Mason (Guest): Right. Exactly. Shawn Tierney (Host): Right? It could be a flow rate on part of the process that irrelevant to monitoring the actual production of the product or or whatever you’re making. And, you know, I’ve known a lot of people who filled up their databases, their historians, with they just they just logged everything. And it’s like a lot of that data was what I would call low quality because it’s low information value. Right? Absolutely. I’m sure you run into that too. Connor Mason (Guest): Yeah. We we run into a lot of people that, you know, I’ve got x amount of data points in my historian and, you know, then we start digging into, well, I wanna do something with it or wanna migrate. Okay. Like, well, what do you wanna achieve at the end of this? Right? And and asking those questions, you know, it’s great that you have all these things historized. Are you using it? Do you have the right things historized? Are they even set up to be, you know, worked upon once they are historized by someone outside of this this landscape? And I think OT plays such a big role in this, and that’s why we start to see the convergence of the IT and OT teams just because that communication needs to occur sooner. So we’re not just passing along, you know, low quality data, bad quality data as well. And we’ll get into some of that later on. So to jump into some of our products and solutions, I kinda wanna give this overview of the automation pyramid. This is where we work from things like the field device communications. And you you have certain sensors, meters, actuators along the actual lines, wherever you’re working. We work across all the industries, so this can vary between those. Through there, you work up kind of your control area. A lot of control engineers are working. This is where I think a lot of the audience is very familiar with PLCs. Your your typical name, Siemens, Rockwell, your Schneiders that are creating, these hardware products. They’re interacting with things on the operation level, and they’re generating data. That that was kind of our bread and butter for a very long time and still is that communication level of getting data from there, but now getting it up the stack further into the pyramid of your supervisory, MES connections, and it’ll also now open to these ERP. We have a lot of large corporations that have data across variety of different solutions and also want to integrate directly down into their operation levels. There’s a lot of value to doing that, but there’s also a lot of watch outs, and a lot of security concerns. So that’ll be a topic that we’ll be getting into. We also all know that the cloud is here. It’s been here, and it’s it’s gonna continue to push its way into, these cloud providers into OT as well. There there’s a lot of benefit to it, but there there’s also some watch outs as this kind of realm, changes in the landscape that we’ve been used to. So there’s a lot of times that we wanna get data out there. There’s value into AI agents. It’s a hot it’s a hot commodity right now. Analytics as well. How do we get those things directly from shop floor, up into the cloud directly, and how do we do that securely? It’s things that we’ve been working on. We’ve had successful projects, continues to be an interest area and I don’t see it slowing down at all. Now, when we kind of begin this level at the bottom of connectivity, people mostly know us for our top server. This is our platform for industrial device connectivity. It’s a thing that’s talking to all those different PLCs in your plant, whether that’s brownfield or greenfield. We pretty much know that there’s never gonna be a plant that’s a single PLC manufacturer, that exists in one plant. There’s always gonna be something that’s slightly different. Definitely from Brownfield, things different engineers made different choices, things have been eminent, and you gotta keep running them. TopServe provides this single platform to connect to a long laundry list of different PLCs. And if this sounds very familiar to Kepserver, well, you’re not wrong. Kepserver is the same exact technology that TopServer is. What’s the difference then is probably the biggest question we usually get. The difference technology wise is nothing. The difference in the back end is that actually it’s all the same product, same product releases, same price, but we have been the biggest single source of Kepserver or Topsyra implementation into the market, for almost two plus decades at this point. So the single biggest purchase that we own this own labeled version of Kepserver to provide to our customers. They interact with our support team, our solutions teams as well, and we sell it along the stack of other things because it it fits so well. And we’ve been doing this since the early two thousands when, Kepware was a a much smaller company than it is now, and we’ve had a really great relationship with them. So if you’ve enjoyed the technology of of Kepserver, maybe there’s some users out there. If you ever heard of TopServer and that has been unclear, I hope this clear clarifies it. But it it is a great technology stack that that we build upon and we’ll get into some of that in our demo. Now the other question is, what if you don’t have a standard communication protocol, like a modbus, like an Allen Bradley PLC as well? We see this a lot with, you know, testing areas, pharmaceuticals, maybe also in packaging, barcode scanners, weigh scales, printers online as well. They they may have some form of basic communications that talks over just TCP or or serial. And how do you get that information that’s really valuable still, but it’s not going through a PLC. It’s not going into your typical agent mind SCADA. It might be very manual process for a lot of these test systems as well, how they’re collecting and analyzing the data. Well, you may have heard of our Arm server as well. It’s been around, like I said, for a couple decades and just a proven solution that without coding, you can go in and build a custom protocol that expects a format from that device, translates it, puts it into standard tags, and now that those tags can be accessible through the open standards of OPC, or to it was a a Veeva user suite link as well. And that really provides a nice combination of your standard communications and also these more custom communications may have been done through scripting in the past. Well, you know, put this onto, an actual server that can communicate through those protocols natively, and just get that data into those SCADA systems, HMIs, where you need it. Shawn Tierney (Host): You know, I used that. Many years ago, I had an integrator who came to me. He’s like, Shawn, I wanna this is back in the RSVUE days. He’s like, Shawn, I I got, like, 20 Euotherm devices on a four eighty five, and they speak ASCII, and I gotta I gotta get into RSVUE 32. And, you know, OmniSIR, I love that you could you could basically developing and we did Omega and some other devices too. You’re developing your own protocol, but it’s beautiful. And and the fact that when you’re testing it, it color codes everything. So you know, hey. That part worked. The header worked. The data worked. Oh, the trailing didn’t work, or the terminated didn’t work, or the data’s not in the right format. Or I just it was a joy to work with back then, and I can imagine it’s only gotten better since. Connor Mason (Guest): Yeah. I think it’s like a little engineer playground where you get in there. It started really decoding and seeing how these devices communicate. And then once you’ve got it running, it it’s one of those things that it it just performs and, is saved by many people from developing custom code, having to manage that custom code and integrations, you know, for for many years. So it it’s one of those things that’s kinda tried, tested, and, it it’s kind of a staple still our our base level communications. Alright. So moving along kind of our automation pyramid as well. Another part of our large offering is the Cogent data hub. Some people may have heard from this as well. It’s been around for a good while. It’s been part of our portfolio for for a while as well. This starts building upon where we had the communication now up to those higher echelons of the pyramid. This is gonna bring in a lot of different connectivities. You if you’re not if you’re listening, it it’s kind of this cog and spoke type of concept for real time data. We also have historical implementations. You can connect through a variety of different things. OPC, both the profiles for alarms and events, and even OPC UA’s alarming conditions, which is still getting adoption across the, across the industry, but it is growing. As part of the OPC UA standard, we have integrations to MQTT. It can be its own MQTT broker, and it can also be an MQTT client. That has grown a lot. It’s one of those things that lives be besides OPC UA, not exactly a replacement. If you ever have any questions about that, it’s definitely a topic I love to talk about. There’s space for for this to combine the benefits of both of these, and it’s so versatile and flexible for these different type of implementations. On top of that, it it’s it’s a really strong tool for conversion and aggregation. You kind of add this, like, its name says, it’s a it’s a data hub. You send all the different information to this. It stores it into, a hierarchy with a variety of different modeling that you can do within it. That’s gonna store these values across a standard data format. Once I had data into this, any of those different connections, I can then send data back out. So if I have anything that I know is coming in through a certain plug in like OPC, bring that in, send it out to on these other ones, OPC, DA over to MQTT. It could even do DDA if I’m still using that, which I probably wouldn’t suggest. But overall, there’s a lot of good benefits from having something that can also be a standardization, between all your different connections. I have a lot of different things, maybe variety of OPC servers, legacy or newer. Bring that into a data hub, and then all your other connections, your historians, your MAS, your SCADAs, it can connect to that single point. So it’s all getting the same data model and values from a single source rather than going out and making many to many connections. A a large thing that it was originally, used for was getting around DCOM. That word is, you know, it might send some shivers down people’s spines still, to this day, but it’s it’s not a fun thing to deal with DCOM and also with the security hardening. It’s just not something that you really want to do. I’m sure there’s a lot of security professionals would advise against EPRA doing it. This tunneling will allow you to have a data hub that locally talks to any of the DA server client, communicate between two data hubs over a tunnel that pushes the data just over TCP, takes away all the comm wrappers, and now you just have values that get streamed in between. Now you don’t have to configure any DCOM at all, and it’s all local. So a lot of people went transitioning, between products where maybe the server only supports OPC DA, and then the client is now supporting OPC UA. They can’t change it yet. This has allowed them to implement a solution quickly and cost and at a cost effective price, without ripping everything out. Shawn Tierney (Host): You know, I wanna ask you too. I can see because this thing is it’s a data hub. So if you’re watching and you’re if you’re listening and not watching, you you’re not gonna see, you know, server, client, UAD, a broker, server, client. You know, just all these different things up here on the site. Do you what how does somebody find out if it does what they need? I mean, do you guys have a line they can call to say, I wanna do this to this. Is that something Data Hub can do, or is there a demo? What would you recommend to somebody? Connor Mason (Guest): Absolutely. Reach out to us. We we have a a lot of content outline, and it’s not behind any paywall or sign in links even. You you can always go to our website. It’s just softwaretoolbox.com. Mhmm. And that’s gonna get you to our product pages. You can download any product directly from there. They have demo timers. So typically with, with coaching data hub, after an hour, it will stop. You can just rerun it. And then call our team. Yeah. We have a solutions team that can work with you on, hey. What do I need as well? Then our support team, if you run into any issues, can help you troubleshoot that as well. So, I’ll have some contact information at the end, that’ll get some people to, you know, where they need to go. But you’re absolutely right, Shawn. Because this is so versatile, everyone’s use case of it is usually something a little bit different. And the best people to come talk to that is us because we’ve we’ve seen all those differences. So Shawn Tierney (Host): I think a lot of people run into the fact, like, they have a problem. Maybe it’s the one you said where they have the OPC UA and it needs to connect to an OPC DA client. And, you know, and a lot of times, they’re they’re a little gunshot to buy a license because they wanna make sure it’s gonna do exactly what they need first. And I think that’s where having your people can, you know, answer their questions saying, yes. We can do that or, no. We can’t do that. Or, you know, a a demo that they could download and run for an hour at a time to actually do a proof of concept for the boss who’s gonna sign off on purchasing this. And then the other thing is too, a lot of products like this have options. And you wanna make sure you’re buying the ticking the right boxes when you buy your license because you don’t wanna buy something you’re not gonna use. You wanna buy the exact pieces you need. So I highly recommend I mean, this product just does like, I have, in my mind, like, five things I wanna ask right now, but not gonna. But, yeah, def definitely, when it when it comes to a product like this, great to touch base with these folks. They’re super friendly and helpful, and, they’ll they’ll put you in the right direction. Connor Mason (Guest): Yeah. I I can tell you that’s working someone to support. Selling someone a solution that doesn’t work is not something I’ve been doing. Bad day. Right. Exactly. Yeah. And we work very closely, between anyone that’s looking at products. You know, me being as technical product managers, well, I I’m engaged in those conversations. And Mhmm. Yeah. If you need a demo license, reach out to us to extend that. We wanna make sure that you are buying something that provides you value. Now kind of moving on into a similar realm. This is one of our still somewhat newer offerings, I say, but we’ve been around five five plus years, and it’s really grown. And I kinda said here, it’s called OPC router, and and it’s not it’s not a networking tool. A lot of people may may kinda get that. It’s more of a, kind of a term about, again, all these different type of connections. How do you route them to different ways? It it kind of it it separates itself from the Cogent data hub, and and acting at this base level of being like a visual workflow that you can assign various tasks to. So if I have certain events that occur, I may wanna do some processing on that before I just send data along, where the data hub is really working in between converting, streaming data, real time connections. This gives you a a kind of a playground to work around of if I have certain tasks that are occurring, maybe through a database that I wanna trigger off of a certain value, based on my SCADA system, well, you can build that in in these different workflows to execute exactly what you need. Very, very flexible. Again, it has all these different type of connections. The very unique ones that have also grown into kind of that OT IT convergence, is it can be a REST API server and client as well. So I can be sending out requests to, RESTful servers where we’re seeing that hosted in a lot of new applications. I wanna get data out of them. Or once I have consumed a variety of data, I can become the REST server in OPC router and offer that to other applications to request data from itself. So, again, it can kind of be that centralized area of information. The other thing as we talked about in the automation pyramid is it has connections directly into SAP and ERP systems. So if you have work orders, if you have materials, that you wanna continue to track and maybe trigger things based off information from your your operation floors via PLCs tracking, how they’re using things along the line, and that needs to match up with what the SAP system has for, the amount of materials you have. This can be that bridge. It’s really is built off the mindset of the OT world as well. So we kinda say this helps empower the OT level because we’re now giving them the tools to that they understand what what’s occurring in their operations. And what could you do by having a tool like this to allow you to kind of create automated workflows based off certain values and certain events and automate some of these things that you may be doing manually or doing very convoluted through a variety of solutions. So this is one of those prod, products as well that’s very advanced in the things that supports. Linux and Docker containers is, is definitely could be a hot topic, rightly fleet rightfully so. And this can run on a on a Docker container deployed as well. So we we’ve seen that with the I IT folks that really enjoy being able to control and to higher deployment, allows you to update easily, allows you to control and spin up new containers as well. This gives you a lot of flexibility to to deploy and manage these systems. Shawn Tierney (Host): You know, I may wanna have you back on to talk about this. I used to there’s an old product called Rascal that I used to use. It was a transaction manager, and it would based on data changing or on a time that as a trigger, it could take data either from the PLC to the database or from the database to the PLC, and it would work with stored procedures. And and this seems like it hits all those points, And it sounds like it’s a visual like you said, right there on the slide, visual workflow builder. Connor Mason (Guest): Yep. Shawn Tierney (Host): So you really piqued my interest with this one, and and it may be something we wanna come back to and and revisit in the future, because, it just it’s just I know that that older product was very useful and, you know, it really solved a lot of old applications back in the day. Connor Mason (Guest): Yeah. Absolutely. And this this just takes that on and builds even more. If you if anyone was, kind of listening at the beginning of this year or two, a conference called Prove It that was very big in the industry, we were there to and we presented on stage a solution that we had. Highly recommend going searching for that. It’s on our web pages. It’s also on their YouTube links, and it’s it’s called Prove It. And OPC router was a big part of that in the back end. I would love to dive in and show you the really unique things. Kind of as a quick overview, we’re able to use Google AI vision to take camera data and detect if someone was wearing a hard hat. All that logic and behind of getting that information to Google AI vision, was through REST with OPC router. Then we were parsing that information back through that, connection and then providing it back to the PLCs. So we go all the way from a camera to a PLC controlling a light stack, up to Google AI vision through OPC router, all on hotel Wi Fi. It’s very imp it’s very, very fun presentation, and, our I think our team did a really great job. So a a a pretty new offering I have I wanna highlight, is our is our data caster. This is a an actual piece of hardware. You know, our software toolbox is we we do have some hardware as well. It’s just, part of the nature of this environment of how we mesh in between things. But the the idea is that, there’s a lot of different use cases for HMI and SCADA. They have grown so much from what they used to be, and they’re very core part of the automation stack. Now a lot of times, these are doing so many things beyond that as well. What we found is that in different areas of operations, you may not need all that different control. You may not even have the space to make up a whole workstation for that as well. What this does, the data caster, is, just simply plug it plugs it into any network and into an HDMI compatible display, and it gives you a very easy configure workplace to put a few key metrics onto a screen. So if I have different things from you can connect directly to PLCs like Allen Bradley. You can connect to SQL databases. You can also connect to rest APIs to gather the data from these different sources and build a a a kind of easy to to view, KPI dashboard in a way. So if you’re on a operation line and you wanna look at your current run rate, maybe you have certain things in the POC tags, you know, flow and pressure that’s very important for those operators to see. They may not be, even the capacity to be interacting with anything. They just need visualizations of what’s going on. This product can just be installed, you know, industrial areas with, with any type of display that you can easily access and and give them something that they can easily look at. It’s configured all through a web browser to display what you want. You can put on different colors based on levels of values as well. And it’s just I feel like a very simple thing that sometimes it seems so simple, but those might be the things that provide value on the actual operation floor. This is, for anyone that’s watching, kind of a quick view of a very simple screen. What we’re showing here is what it would look like from all the different data sources. So talking directly to ControlLogs PLC, talking to SQL databases, micro eight eight hundreds, an arrest client, and and what’s coming very soon, definitely by the end of this year, is OPC UA support. So any OPC UA server that’s out there that’s already having your PLC data or etcetera, this could also connect to that and get values from there. Shawn Tierney (Host): Can I can you make it I’m I’m here I go? Can you make it so it, like, changes, like, pages every few seconds? Connor Mason (Guest): Right now, it is a single page, but this is, like I said, very new product, so we’re taking any feedback. If, yeah, if there’s this type of slideshow cycle that would be, you know, valuable to anyone out there, let us know. We’re definitely always interested to see the people that are actually working out at these operation sites, what what’s valuable to them. Yeah. Shawn Tierney (Host): A lot of kiosks you see when when you’re traveling, it’ll say, like, line one well, I’ll just throw out there. Line one, and that’ll be on there for five seconds, and then it’ll go line two. That’ll be on there for five seconds, and then line you know, I and that’s why I just mentioned that because I can see that being a question that, that that I would get from somebody who is asking me about it. Connor Mason (Guest): Oh, great question. Appreciate it. Alright. So now we’re gonna set time for a little hands on demo. For anyone that’s just listening, we’re gonna I’m gonna talk about this at at a high level and walk through everything. But the idea is that, we have a few different POCs, very common in Allen Bradley and just a a Siemens seven, s seven fifteen hundred that’s in our office, pretty close to me on the other side of the wall wall, actually. We’re gonna first start by connecting that to our top server like we talked about. This is our industrial communication server, that offers both OCDA, OC UA, SweetLink connectivity as well. And then we’re gonna bring this into our Cogent data hub. This we talked about is getting those values up to these higher levels. What we’ll be doing is also tunneling the data. We talked about being able to share data through the data hubs themselves. Kinda explain why we’re doing that here and the value you can add. And then we’re also gonna showcase adding on MQTT to this level. Taking beta now just from these two PLCs that are sitting on a rack, and I can automatically make all that information available in the MQTT broker. So any MQTT client that’s out there that wants to subscribe to that data, now has that accessible. And I’ve created this all through a a really simple workflow. We also have some databases connected. Influx, we install with Code and DataHub, has a free visualization tool that kinda just helps you see what’s going on in your processes. I wanna showcase a little bit of that as well. Alright. So now jumping into our demo, when we first start off here is the our top server. Like I mentioned before, if anyone has worked with KEP server in the past, this is gonna look very similar. Like it because it is. The same technology and all the things here. The the first things that I wanted to establish in our demo, was our connection to our POCs. I have a few here. We’re only gonna use the Allen Bradley and the Siemens, for the the time that we have on our demo here. But how this builds out as a platform is you create these different channels and the devices connections between them. This is gonna be your your physical connections to them. It’s either, IP TCPIP connection or maybe your serial connection as well. We have support for all of them. It really is a long list. Anyone watching out there, you can kind of see all the different drivers that that we offer. So allowing this into a single platform, you can have all your connectivity based here. All those different connections that you now have that up the stack, your SCADA, your historians, MAS even as well, they can all go to a single source. Makes that management, troubleshooting, all those a bit easier as well. So one of the first things I did here, I have this built out, but I’ll kinda walk through what you would typically do. You have your Allen Bradley ControlLogix Ethernet driver here first. You know, I have some IPs in here I won’t show, but, regardless, we have our our our drivers here, and then we have a set of tags. These are all the global tags in the programming of the PLC. How I got these to to kind of map automatically is in our in our driver, we’re able to create tags automatically. So you’re able to send a command to that device and ask for its entire tag database. They can come back, provide all that, map it out for you, create those tags as well. This saves a lot of time from, you know, an engineer have to go in and, addressing all the individual items themselves. So once it’s defined in the program project, you’re able to bring this all in automatically. I’ll show now how easy that makes it connecting to something like the Cogent data hub. In a very similar fashion, we have a connection over here to the Siemens, PLC that I also have. You can see beneath it all these different tag structures, and this was created the exact same way. While those those PLC support it, you can do an automatic tag generation, bring in all the structure that you’ve already built out your PLC programming, and and make this available on this OPC server now as well. So that’s really the basis. We first need to establish communications to these PLCs, get that tag data, and now what do we wanna do with it? So in this demo, what I wanted to bring up was, the code in DataHub next. So here, I see a very similar kind of layout. We have a different set set of plugins on the left side. So for anyone listening, the Cogent Data Hub again is kind of our aggregation and conversion tool. All these different type of protocols like OPC UA, OPC DA, and OPC A and E for alarms and events. We also support OPC alarms and conditions, which is the newer profile for alarms in OPC UA. We have all a variety of different ways that you can get data out of things and data’s into the data hub. We can also do bridging. This concept is, how you share data in between different points. So let’s say I had a connection to one OPC server, and it was communicating to a certain PLC, and there were certain registers I was getting data from. Well, now I also wanna connect to a different OPC server that has, entirely different brand of PLCs. And then maybe I wanna share data in between them directly. Well, with this software, I can just bridge those points between them. Once they’re in the data hub, I can do kind of whatever I want with them. I can then allow them to write between those PLCs and share data that way, and you’re not now having to do any type of hardwiring directly in between them, and then I’m compatible to communicate to each other. Through the standards of OPC and these variety of different communication levels, I can integrate them together. Shawn Tierney (Host): You know, you bring up a good point. When you do something like that, is there any heartbeat? Like, is there on the general or under under, one of these, topics? Is there are there tags we can use that are from DataHub itself that can be sent to the destination, like a heartbeat or, you know, the merge transactions? Or Connor Mason (Guest): Yeah. Absolutely. So with this as well, there’s pretty strong scripting engine, and I have done that in the past where you can make internal tags. And that that could be a a timer. It could be a counter. And and just kind of allows you to create your own tags as well that you could do the same thing, could share that, through bridge connection to a PLC. So, yeah, there there are definitely some people that had those cert and, you know, use cases where they wanna get something to just track, on this software side and get it out to those hardware PLCs. Absolutely. Shawn Tierney (Host): I mean, when you send out the data out of the PLC, the PLC doesn’t care to take my data. But when you’re getting data into the PLC, you wanna make sure it’s updating and it’s fresh. And so, you know, they throw a counter in there, the script thing, and be able to have that. As as long as you see that incrementing, you know, you got good data coming in. That’s that’s a good feature. Connor Mason (Guest): Absolutely. You know, another big one is the the redundancy. So what this does is beyond just the OPC, we can make redundancy to basically anything that has two things running of it. So any of these different connections. How it’s unique is what it does is it just looks at the buckets of data that you create. So for an example, if I do have two different OPC servers and I put them into two areas of, let’s say, OPC server one and OPC server two, I can what now create an OPC redundancy data bucket. And now any client that connects externally to that and wants that data, it’s gonna go talk to that bucket of data. And that bucket of data is going to automatically change in between sources as things go down, things come back up, and the client would never know what’s hap what that happened unless you wanted to. There are internal tasks to show what’s the current source and things, but the idea is to make this trans kind of hidden that regardless of what’s going on in the operations, if I have this set up, I can have my external applications just reading from a single source without knowing that there’s two things behind it that are actually controlling that. Very important for, you know, historian connections where you wanna have a full complete picture of that data that’s coming in. If you’re able to make a redundant connection to two different, servers and then allow that historian to talk to a single point where it doesn’t have to control that switching back and forth. It it will just see that data flow streamlessly as as either one is up at that time. Kinda beyond that as well, there’s quite a few other different things in here. I don’t think we have time to cover all of them. But for for our demo, what I wanna focus on first is our OPC UA connection. This allows us both to act as a OPC UA client to get data from any servers out there, like our top server. And also we can act as an OPC UA server itself. So if anything’s coming in from maybe you have multiple connections to different servers, multiple connections to other things that aren’t OPC as well, I can now provide all this data automatically in my own namespace to allow things to connect to me as well. And that’s part of that aggregation feature, and kind of topic I was mentioning before. So with that, I have a connection here. It’s pulling data all from my top server. I have a few different tags from my Alec Bradley and and my Siemens PLC selected. The next part of this, while I was meshing, was the tunneling. Like I said, this is very popular to get around DCOM issues, but there’s a lot of reasons why you still may use this beyond just the headache of DCOM and what it was. What this runs on is a a TCP stream that takes all the data points as a value, a quality, and a timestamp, and it can mirror those in between another DataHub instance. So if I wanna get things across a network, like my OT side, where NASH previously, I would have to come in and allow a, open port onto my network for any OPC UA clients, across the network to access that, I can now actually change the direction of this and allow me to tunnel data out of my network without opening up any ports. This is really big for security. If anyone out there, security professional or working as an engineer, you have to work with your IT and security a lot, they don’t you don’t wanna have an open port, especially to your operations and OT side. So this allows you to change that direction of flow and push data out of this direction into another area like a DMZ computer or up to a business level computer as well. The other things as well that I have configured in this demo, the benefit of having that tunneling streaming data across this connection is I can also store this data locally in a, influx database. The purpose of that then is that I can actually historize this, provide then if this connection ever goes down to backfill any information that was lost during that tunnel connection going down. So with this added layer on and real time data scenarios like OPC UA, unless you have historical access, you would lose a lot of data if that connection ever went down. But with this, I can actually use the back end of this InfluxDB, buffer any values. When my connection comes back up, pass them along that stream again. And if I have anything that’s historically connected, like, another InfluxDB, maybe a PI historian, Vue historian, any historian offering out there that can allow that connection. I can then provide all those records that were originally missed and backfill that into those systems. So I switched over to a second machine. It’s gonna look very similar here as well. This also has an instance of the Cogent Data Hub running here. For anyone not watching, what we’ve actually have on this side is the the portion of the tunneler that’s sitting here and listening for any data requests coming in. So on my first machine, I was able to connect my PLCs, gather that information into Cogent DataHub, and now I’m pushing that information, across the network into a separate machine that’s sitting here and listening to gather information. So what I can quickly do is just make sure I have all my data here. So I have these different points, both from my Allen Bradley PLCs. I have a few, different simulation demo points, like temperature, pressure, tank level, a few statuses, and all this is updating directly through that stream as the PLC is updating it as well. I also have my scenes controller. I have some, current values and a few different counters tags as well. All of this again is being directly streamed through that tunnel. I’m not connecting to an OPC server at all on this side. I can show you that here. There’s no connections configured. I’m not talking to the PLCs directly on this machine as well. But maybe we’ll pass all the information through without opening up any ports on my OT demo machine per se. So what’s the benefit of that? Well, again, security. Also, the ability to do the store and forward mechanisms. On the other side, I was logging directly to a InfluxDB. This could be my d- my buffer, and then I was able to configure it where if any values were lost, to store that across the network. So now with this side, if I pull up Chronic Graph, which is a free visualization tool that installs with the DataHub as well, I can see some very nice, visual workflows and and visual diagrams of what is going on with this data. So I have a pressure that is just a simulator in this, Allen Bradley PLC that ramps up and and comes back down. It’s not actually connected to anything that’s reading a real pressure, but you can see over time, I can kind of change through these different layers of time. And I might go back a little far, but I have a lot of data that’s been stored in here. For a while during my test, I turned this off and, made it fail, but then I came back in and I was able to recreate all the data and backfill it as well. So through through these views, I can see that as data disconnects, as it comes back on, I have a very cyclical view of the data because it was able to recover and store and forward from that source. Like I said, Shawn, data quality is a big thing in this industry. It’s a big thing for people both at the operations side, and both people making decision in the business layer. So being able to have a full picture, without gaps, it is definitely something that, you should be prioritizing, when you can. Shawn Tierney (Host): Now what we’re seeing here is you’re using InfluxDB on this, destination PC or IT side PC and chronograph, which was that utility or that package that comes, gets installed. It’s free. But you don’t actually have to use that. You could have sent this in to an OSI pi or Exactly. Somebody else’s historian. Right? Can you name some of the historians you work with? I know OSI pie. Connor Mason (Guest): Yeah. Yeah. Absolutely. So there’s quite a few different ones. As far as what we support in the Data Hub natively, Amazon Kinesis, the cloud hosted historian that we can also do the same things from here as well. Aviva Historian, Aviva Insight, Apache Kafka. This is a a kind of a a newer one as well that used to be a very IT oriented solution, now getting into OT. It’s kind of a similar database structure where things are stored in different topics that we can stream to. On top of that, just regular old ODBC connections. That opens up a lot of different ways you can do it, or even, the old classic OPC, HDA. So if you have any, historians that that can act as an OPC HDA, connection, we we can also stream it through there. Shawn Tierney (Host): Excellent. That’s a great list. Connor Mason (Guest): The other thing I wanna show while we still have some time here is that MQTT component. This is really growing and, it’s gonna continue to be a part of the industrial automation technology stack and conversations moving forward, for streaming data, you know, from devices, edge devices, up into different layers, both now into the OT, and then maybe out to, IT, in our business levels as well, and definitely into the cloud as we’re seeing a lot of growth into it. Like I mentioned with Data Hub, the big benefit is I have all these different connections. I can consume all this data. Well, I can also act as an MQTT broker. And what what a broker typically does in MQTT is just route data and share data. It’s kind of that central point where things come to it to either say, hey. I’m giving you some new values. Share it with someone else. Or, hey. I need these values. Can you give me that? It really fits in super well with what this product is at its core. So all I have to do here is just enable it. What that now allows is I have an example, MQTT Explorer. If anyone has worked with MQTT, you’re probably familiar with this. There’s nothing else I configured beyond just enabling the broker. And you can see within this structure, I have all the same data that was in my Data Hub already. The same things I were collecting from my PLCs and top server. Now I’ve embedded these as MPPT points and now I have them in JSON format with the value, their timestamp. You can even see, like, a little trend here kind of matching what we saw in Influx. And and now this enables all those different cloud connectors that wanna speak this language to do it seamlessly. Shawn Tierney (Host): So you didn’t have to set up the PLCs a second time to do this? Nope. Connor Mason (Guest): Not at all. Shawn Tierney (Host): You just enabled this, and now the data’s going this way as well. Exactly. Connor Mason (Guest): Yeah. That’s a really strong point of the Cogent Data Hub is once you have everything into its structure and model, you just enable it to use any of these different connections. You can get really, really creative with these different things. Like we talked about with the the bridging aspect and getting into different systems, even writing down the PLCs. You can make crust, custom notifications and email alerts, based on any of these values. You could even take something like this MTT connection, tunnel it across to another data hub as well, maybe then convert it to OPC DA. And now you’ve made a a a new connection over to something that’s very legacy as well. Shawn Tierney (Host): Yeah. That, I mean, the options here are just pretty amazing, all the different things that can be done. Connor Mason (Guest): Absolutely. Well, I, you know, I wanna jump back into some of our presentation here while we still got the time. And now after we’re kinda done with our demo, there’s so many different ways that you can use these different tools. This is just a really simple, kind of view of the, something that used to be very simple, just connecting OpenSea servers to a variety of different connections, kind of expanding onto with that that’s store and forward, the local influx usage, getting out to things like MTT as well. But there’s a lot more you can do with these solutions. So like Shawn said, reach out to us. We’re happy to engage and see what we can help you with. I have a few other things before we wrap up. Just overall, it we’ve worked across nearly every industry. We have installations across the globe on all continents. And like I said, we’ve been around for pushing thirty years next year. So we’ve seen a lot of different things, and we really wanna talk to anyone out there that maybe has some struggles that are going on with just connectivity, or you have any ongoing projects. If you work in these different industries or if there’s nothing marked here and you have anything going on that you need help with, we’re very happy to sit down and let you know if there’s there’s something we can do there. Shawn Tierney (Host): Yeah. For those who are, listening, I mean, we see most of the big energy and consumer product, companies on that slide. So I’m not gonna read them off, but, it’s just a lot of car manufacturers. You know, these are these are these, the household name brands that everybody knows and loves. Connor Mason (Guest): So kind of wrap some things up here. We talked about all the different ways that we’ve kind of helped solve things in the past, but I wanna highlight some of the unique ones, that we’ve also gone do some, case studies on and and success stories. So this one I actually got to work on, within the last few years that, a plastic packaging, manufacturer was looking to track uptime and downtime across multiple different lines, and they had a new cloud solution that they were already evaluating. They’re really excited to get into play. They they had a lot of upside to, getting things connected to this and start using it. Well, what they had was a lot of different PLCs, a lot of different brands, different areas, different, you know, areas of operation that they need to connect to. So what they used was to first get that into our top server, kind of similar to how they showed them use in their in our demo. We just need to get all the data into a centralized platform first, get that data accessible. Then from there, once they had all that information into a centralized area, they used the Cogent Data Hub as well to help aggregate that information and transform it to be sent to the cloud through MQTT. So very similar to the demo here, this is actually a real use case of that. Getting information from PLCs, structuring it into that how that cloud system needed it for MQTT, and streamlining that data connection to now where it’s just running in operation. They constantly have updates about where their lines are in operation, tracking their downtime, tracking their uptime as well, and then being able to do some predictive analytics in that cloud solution based on their history. So this really enabled them to kind of build from what they had existing. It was doing a lot of manual tracking, into an entirely automated system with management able to see real views of what’s going on at this operation level. Another one I wanna talk about was we we were able to do this success story with, Ace Automation. They worked with a pharmaceutical company. Ace Automation is a SI and they were brought in and doing a lot of work with some some old DDE connections, doing some custom Excel macros, and we’re just having a hard time maintaining some legacy systems that were just a pain to deal with. They were working with these older files, from some old InTouch histor HMIs, and what they needed to do was get something that was not just based on Excel and doing custom macros. So one product we didn’t get to talk about yet, but we also carry is our LGH file inspector. It’s able to take these files, put them out into a standardized format like CSV, and also do a lot of that automation of when when should these files be queried? Should they be, queried for different lengths? Should they be output to different areas? Can I set these up in a scheduled task so it can be done automatically rather than someone having to sit down and do it manually in Excel? So they will able to, recover over fifty hours of engineering time with the solution from having to do late night calls to troubleshoot a, Excel macro that stopped working, from crashing machines, because they were running a legacy systems to still support some of the DDE servers, into saving them, you know, almost two hundred plus hours of productivity. Another example, if we’re able to work with a renewable, energy customer that’s doing a lot of innovative things across North America, They had a very ambitious plan to double their footprint in the next two years. And with that, they had to really look back at their assets and see where they currently stand, how do we make new standards to support us growing into what we want to be. So with this, they had a lot of different data sources currently. They’re all kind of siloed at the specific areas. Nothing was really connected commonly to a corporate level area of historization, or control and security. So again, they they were able to use our top server and put out a standard connectivity platform, bring in the DataHub as an aggregation tool. So each of these sites would have a top server that was individually collecting data from different devices, and then that was able to send it into a single DataHub. So now their corporate level had an entire view of all the information from these different plants in one single application. That then enabled them to connect their historian applications to that data hub and have a perfect view and make visualizations off of their entire operations. What this allowed them to do was grow without replacing everything. And that’s a big thing that we try to strive on is replacing and ripping out all your existing technologies. It’s not something you can do overnight. But how do we provide value and gain efficiency with what’s in place and providing newer technologies on top of that without disrupting the actual operation as well? So this was really, really successful. And at the end, I just wanna kind of provide some other contacts and information people can learn more. We have a blog that goes out every week on Thursdays. A lot of good technical content out there. A lot of recast of the the awesome things we get to do here, the success stories as well, and you can always find that at justblog.softwaretoolbox.com. And again, our main website is justsoftwaretoolbox.com. You can get product information, downloads, reach out to anyone on our team. Let’s discuss what what issues you have going on, any new projects, we’ll be happy to listen. Shawn Tierney (Host): Well, Connor, I wanna thank you very much for coming on the show and bringing us up to speed on not only software toolbox, but also to, you know, bring us up to speed on top server and doing that demo with top server and data hub. Really appreciate that. And, I think, you know, like you just said, if anybody, has any projects that you think these solutions may be able to solve, please give them a give them a call. And if you’ve already done something with them, leave a comment. You know? To leave a comment, no matter where you’re watching or listening to this, let us know what you did. What did you use? Like me, I used OmniServer all those many years ago, and, of course, Top Server as an OPC server. But if you guys have already used Software Toolbox and, of course, Symbol Factory, I use that all the time. But if you guys are using it, let us know in the comments. It’s always great to hear from people out there. I know, you know, with thousands of you guys listening every week, but I’d love to hear, you know, are you using these products? Or if you have questions, I’ll funnel them over to Connor if you put them in the comments. So with that, Connor, did you have anything else you wanted to cover before we close out today’s show? Connor Mason (Guest): I think that was it, Shawn. Thanks again for having us on. It was really fun. Shawn Tierney (Host): I hope you enjoyed that episode, and I wanna thank Connor for taking time out of his busy schedule to come on the show and bring us up to speed on software toolbox and their suite of products. Really appreciated that demo at the end too, so we actually got a look at if you’re watching. Gotta look at their products and how they work. And, just really appreciate them taking all of my questions. I also appreciate the fact that Software Toolbox sponsored this episode, meaning we were able to release it to you without any ads. So I really appreciate them. If you’re doing any business with Software Toolbox, please thank them for sponsoring this episode. And with that, I just wanna wish you all good health and happiness. And until next time, my friends, peace. Until next time, Peace ✌️  If you enjoyed this content, please give it a Like, and consider Sharing a link to it as that is the best way for us to grow our audience, which in turn allows us to produce more content

La actividad en la playa de contenedores del puerto de Montevideo, operada por la empresa Terminal Cuenca del Plata (TCP), sigue paralizada luego de que el Sindicato Único Portuario y Ramas Afines (Supra) resolviera mantenerse en asamblea permanente. La decisión se tomó ayer, luego de una reunión tripartita en el Ministerio de Trabajo que no hubo avances. El Supra reclama la reducción de la jornada laboral a seis horas y cuestiona la implementación del nuevo sistema informático Navis N4, que —según sostiene—  hará perder categorías y puestos laborales. TCP, cuyo accionista mayoritario es la multinacional belga Katoen Natie, asegura que la aplicación del nuevo sistema no implicará despidos ni pérdida de puestos de trabajo. El conflicto, que comenzó el jueves pasado, mantiene afectado gran parte del movimiento de contenedores en el puerto. Los exportadores denuncian pérdidas millonarias y los transportistas reclaman una solución urgente. ¿Qué se está haciendo a nivel de gobierno para destrabar esta crisis? Emiliano Cotelo y Romina Andrioli conversaron con Juan Castillo, ministro de Trabajo y Previsión Social.

When you think about health, you probably picture food and exercise. But the truth is, health is shaped far more by social determinants of health—the conditions in which we live, learn, work, and connect. In this episode we break down what social determinants of health really are, why they matter, and how they can shape your wellbeing just as much (or more) than diet and exercise. By understanding the social determinants of health, you can drop the shame, find more compassion, and focus on the areas of wellness that truly support your life. You'll learn: What social determinants of health mean and why they're often overlooked in wellness culture The surprising impact of your zip code and neighborhood on life expectancy How education and income level are tied to long-term health outcomes The role of community and social support in reducing risk of early death Why chronic stress and financial wellbeing can affect every organ system How sleep, creativity, volunteering, and career satisfaction improve wellbeing beyond the gym or kitchen What NEAT (non-exercise activity thermogenesis) means and why everyday movement matters If you've ever felt pressured to “eat perfectly” or “work out more” to be healthy, this episode will help you zoom out. You'll see how whole-person wellbeing is shaped by environment, relationships, and access—not just personal choices.    Wellness: Rebranded is turning 3 years old! We are hosting a live birthday party on October 23rd in Annapolis and would love for you to join. Learn more about the party here: [LINK] This episode was brought to you by Leading Lady Coaching. Learn more here: https://leadinglady-coaching.com/ This episode is brought to you by TCP Youth Empowerment. Every child deserves someone in their corner. To sponsor a child, visit TCP to 44-321 or visit https://www.tcpyouthempowerment.org/ Resources:  Our episode on 10k steps: https://podcasts.apple.com/us/podcast/wellness-rebranded-intuitive-eating-diet-culture-mental/id1651744916?i=1000716434613 Intuitive Eating Starter Kit: Use code PODCAST to get this for just $14 https://elizabethharrisnutrition.com/starterkit Tara's in-person Progressive Relaxation class – November 18th at 7 PM – Relax and Renew: An Hour of Progressive Relaxation with Tara: https://checkout.square.site/merchant/FAFGA8EEASMD9/checkout/OQPHVJYKUKEMAJPRBFIJ2QDX Connect with us!    The Ultimate Self Care Planner: https://elizabethharrisnutrition.ck.page/9e817ab37e   Elizabeth Harris, MS, RDN, LDN FB: Health and Healing with Intuitive Eating community https://www.facebook.com/groups/healthandhealingwithintuitiveeating Instagram: https://www.instagram.com/ElizabethHarrisNutrition Free download to break up with diet culture: https://elizabethharrisnutrition.com/invisible-diet   Tara De Leon, Master Personal Trainer Email: FitnessTrainer19@hotmail.com Instagram: https://www.instagram.com/tara_de_leon_fitness Join Tara's Newsletter: https://mailchi.mp/5290e3f13e08/email-signup Maria Winters, LCPC, NCC Instagram: https://www.instagram.com/coaching_therapist/ FB: https://www.facebook.com/MWcoachingtherapy Website: www.thecoachingtherapist.com

This episode is brought to you by TCP Youth Empowerment. Every child deserves someone in their corner. To sponsor a child, visit TCP to 44-321 or visit https://www.tcpyouthempowerment.org/ Friendships are one of the most important pieces of our health and wellness puzzle, but in midlife, they can look very different than they did in our 20s or 30s. Some friendships fade, some deepen, and some need a little “redesigning” to stay healthy and supportive. In this episode, we get real about the ups and downs of friendships in our 40s, 50s, and beyond. From the pain of being ghosted by a lifelong friend to the relief of no longer putting up with draining relationships, we explore how midlife changes our approach to connection, boundaries, and community. We share personal stories—both heartbreaks and joys—and talk about why friendships are not just emotional, but also physical health lifelines. You'll hear about redesigning relationships, the role of boundaries, and why even one or two solid friendships can be more powerful than a dozen “okay-ish” ones. In this episode: Why some friendships naturally fade (and why it's not always about you) How to “redesign” a friendship before letting it go The role of confidence, clarity, and boundaries in midlife relationships Why loneliness—physical or emotional—can harm health more than you realize How strong friendships can become an essential part of your wellness journey Resources:  Intuitive Eating Starter Kit: Use code PODCAST to get this for just $14 https://elizabethharrisnutrition.com/starterkit Trainers: Become the Go-To Expert at Your Gym with Tara's free mini course: https://www.taradeleonfitness.com/ Connect with us!    The Ultimate Self Care Planner: https://elizabethharrisnutrition.ck.page/9e817ab37e   Elizabeth Harris, MS, RDN, LDN FB: Health and Healing with Intuitive Eating community https://www.facebook.com/groups/healthandhealingwithintuitiveeating Instagram: https://www.instagram.com/ElizabethHarrisNutrition Free download to break up with diet culture: https://elizabethharrisnutrition.com/invisible-diet   Tara De Leon, Master Personal Trainer Email: FitnessTrainer19@hotmail.com Instagram: https://www.instagram.com/tara_de_leon_fitness Join Tara's Newsletter: https://mailchi.mp/5290e3f13e08/email-signup Maria Winters, LCPC, NCC Instagram: https://www.instagram.com/coaching_therapist/ FB: https://www.facebook.com/MWcoachingtherapy Website: www.thecoachingtherapist.com

Start Your Transformation Now  In this inspiring episode of the Transformational Interview Series, Jim speaks with Sarah Johnson, a former TCP student whose journey from fear and self-doubt to authenticity and empowerment will resonate with anyone who's ever felt “not enough.” Once trapped in comparison and victim mentality, Sarah discovered through TCP how to let go of judgment, stop blaming others, and take full responsibility for her life. The result? A more peaceful mind, a thriving marriage, and a new career aligned with her purpose.  Sarah opens up about the struggles that held her back—fear of judgment, financial scarcity, and a lifelong tendency to please others—and how TCP gave her the tools to finally see her blind spots. She shares how shifting her focus from “What will people think?” to “How can I help others?” unlocked her authentic voice, healed her relationships, and led her to build her own business helping others uncover the hidden gifts in their shadows. If you've ever felt stuck in fear, blamed your circumstances, or struggled with money and self-worth, Sarah's story will show you that transformation is possible when you decide to step fully into responsibility and courage.  What You'll Discover in This Episode:  Facing the Fear of Being Seen (03:09) How Sarah's fear of judgment and comparison kept her small—and the simple shift Jim gave her that changed everything.  Letting Go of “What People Think” (08:17) The powerful breakthrough that allowed Sarah to stop ruminating, show up authentically, and care less about outside opinions.  From Blame to Responsibility (09:45) How releasing blame toward her husband and others gave her peace of mind and transformed her marriage.  Money Struggles and Scarcity (21:17) Sarah's cycle of debt and chasing “the next course”—and how TCP helped her take ownership and turn things around.  Rising Self-Worth (25:16) Her journey from a self-worth score of 2 to a 10, and why taking courageous action made all the difference.  The Gift of Helping Others (27:06) Why her true transformation came from serving others and stepping into her purpose of helping people see their shadows.  Listen, apply, and enjoy!  Transformational Takeaway  Transformation begins when you step out of fear and take full responsibility for your life. Sarah's story shows that even the deepest patterns of victimhood, blame, and scarcity can be rewritten into empowerment, authenticity, and abundance. The very fears that hold you back are the doorways to your growth—if you're willing to walk through them.  Let's Connect:  Instagram | Facebook | YouTube | LinkedIn  LIKED THE EPISODE?  If you're the kind of person who likes to help others, then share this with your friends and family. If you have found value, they will too. Please leave a review on Apple Podcasts so we can reach more people.  Listening on Spotify? Please leave a comment below. We would love to hear from you!  With gratitude, Jim 

Review of lead II ECG characteristics, rules to identify first and third degree heart blocks, and treatment following the ACLS Bradycardia algorithm.To pass ACLS, you will need to be able to identify common rhythms on a monitor during your mega code and ECG strips on your written exam.Review of normal ECG morphology in lead II.Characteristics of first-degree heart block.Characteristics of third-degree (complete) AV block.Treatment of unstable patients in third degree block following the ACLS Bradycardia algorithm.Special considerations for use of Atropine when patients are in a third-degree heart block.The use of TCP, Dopamine, & Epinephrine drip for unstable bradycardic patients refractory to Atropine.**American Cancer Society (ACS) Fundraiser This is the seventh year that I'm participating in Men Wear Pink to increase breast cancer awareness and raise money for the American Cancer Society's life-saving mission.I hope you'll consider contributing.Every donation makes a difference in the fight against breast cancer! Paul Taylor's ACS Fundraiser Page: http://main.acsevents.org/goto/paultaylorTHANK YOU for your support! Good luck with your ACLS class!Links: Buy Me a Coffee at https://buymeacoffee.com/paultaylor Free Prescription Discount Card - Get your free drug discount card to save money on prescription medications for you and your pets: https://safemeds.vip/savePass ACLS Web Site - Other ACLS-related resources: https://passacls.com@Pass-ACLS-Podcast on LinkedIn

ANTIC Episode 120 - AI Non Grata In this episode of ANTIC The Atari 8-Bit Computer Podcast… Kay discusses a big Atari haul, we get an Atari report from VCF West, we discuss a new Atari 8-bit emulator, and Kay bans AI-generated content from the podcast … READY! Recurring Links  Floppy Days Podcast  AtariArchives.org  AtariMagazines.com  Kay's Book “Terrible Nerd”  New Atari books scans at archive.org  ANTIC feedback at AtariAge  Atari interview discussion thread on AtariAge  Interview index: here  ANTIC Facebook Page  AHCS  Eaten By a Grue  Next Without For  What we've been up to Spring/Summer 1992 Toad Computers Catalog - https://archive.org/details/toad-computers-spring-summer-1992-catalog  Sector Copy program - https://www.atarimania.com/utility-atari-400-800-xl-xe-scopy-810_44379.html  News Report from Rob McMullen about Ataris at VCF West [4:37] - https://www.dropbox.com/scl/fi/5qq0k7y5d25ymq87mlx3s/rob-vcf-west-review-1450-antic-podcast.wav?rlkey=30oilrbgfstazfrk4t6wh7cqm&dl=0  Shadows of Dimensions - New Atari game from SV 2025 SE: YouTube game video - https://youtu.be/3jn_zhk_vq0  Game download - https://forums.atariage.com/applications/core/interface/file/attachment.php?id=1252592&key=f30bcb01978d9a735303f5b16fde2994  VBXE Demo Show Part II SillyVenture 2025 - 25th anniversary Edition - andymanone  AtariAge thread - https://forums.atariage.com/topic/383550-atari-8-bit-xlxe-vbxe-demo-show-part-ii-sillyventure-2025-25th-anniversary-edition/  Demozoo - VBXE Slideshow Part II - SV2025 Edition 07-2025 for ATARI 8-Bit Pouet - VBXE Slideshow Part II - SV2025 Edition 07-2025 for ATARI 8-Bit  Youtube - VBXE Slideshow Part II - SV2025 Edition 07-2025 for ATARI 8-Bit FastBASIC Debugger Extension for VSCode - Eric Carr: https://forums.atariage.com/topic/351055-fastbasic-debugger-extension-for-vscode/  https://github.com/EricCarrGH/vscode-fastbasic-debugger/blob/master/readme.md#custom-emulator  Adding Fujinet support to Atari800MacX - Paulo Garcia - https://forums.atariage.com/topic/382899-adding-fujinet-support-to-atari800macx/  New Atari 8-bit emulator Fujisan by Paulo Garcia: source code is here - https://github.com/pedgarcia/fujisan  TCP server for automation - https://github.com/pedgarcia/fujisan/blob/main/TCP_SERVER_API.md  YouTube video - https://youtu.be/jFZfG9ah-9A  AIAD (AI-aided Design) for 130XE board remake - Peter Kaczorowski: https://www.youtube.com/watch?v=DGTjjxJcUks  https://forums.atariage.com/topic/383379-new-11-1000dpi-replica-of-atari-xe-motherboard-%E2%80%93-interest-check/  Timberman - a new game: https://forums.atariage.com/topic/383557-timberman-a-new-game/  https://github.com/Pecusx/Young-lumberjack/blob/main/Timberman.xex  https://www.youtube.com/watch?v=86FLcqFdQMA  August issue of the new Compute's Gazette Magazine - https://www.computesgazette.com XE Desktop with 3.5 Inch Disk Drive Hat render - Simon Daniel - https://www.facebook.com/groups/181644898539691/user/625793361  Eyeroll of the month - 9 Telengard boxes, sealed: https://www.ebay.com/itm/406093458386  https://www.atarimania.com/game-atari-400-800-xl-xe-telengard_5309.html  Was the Atari computer 8-bit or 4-bit? - https://cyberpost.co/was-atari-8-bit-or-4-bit/  Building Dandy from source - https://forums.atariage.com/topic/276387-heres-the-source-code-for-dandy/#findComment-5705579  https://intotheverticalblank.com/2025/08/10/atari-8bit-archeology-top-20-shooters-and-shmups-1979-1981/  Total Reprint (Apple II Print Shop update) - https://youtu.be/DAoXIsNP6jg  Upcoming Shows VCF Midwest - September 13-14, 2025 - Renaissance Schaumburg Convention Center in Schaumburg, IL - http://vcfmw.org/  Portland Retro Gaming Expo - October 17-19 - Oregon Convention Center, Portland, OR - https://retrogamingexpo.com/  Event page created by Chicago Classic Computing - http://chiclassiccomp.org/events.html  Event page created by Floppy Days on Facebook - https://www.facebook.com/VintageComputerShows/  Event page on Floppy Days Website - https://docs.google.com/document/d/e/2PACX-1vSeLsg4hf5KZKtpxwUQgacCIsqeIdQeZniq3yE881wOCCYskpLVs5OO1PZLqRRF2t5fUUiaKByqQrgA/pub  YouTube Videos The (Insufferable) Decline of Atari | When the Industry Crashes on Your Watch - History in the Dark - https://www.youtube.com/watch?v=DeoAsUjz72s  PS5 Pad in Atari 400 Mini? Checking It Out! [Controller Test] - Grzesiek Opowiada - https://www.youtube.com/watch?v=GCrNQESbZmM  Unboxing the Atari ST124 monochrome monitor, pt. 2 - John Zielke (Atari Basics newsletter) - https://www.youtube.com/shorts/6m-w5LDYedc  New at Archive.org Allan Bushman is on FIRE: https://archive.org/details/@allan52  https://archive.org/details/easmd-oss/  https://archive.org/details/computer-shopper-july-1986-vol-6-num-6-atari-articles/  And new entrant in the scanning scene Ted Skrecky: https://archive.org/details/@ted_skrecky https://archive.org/details/wire-taps-vol.-4-no.-6-june-1986 https://archive.org/details/xio-3-garden-city-atari-computer-enthusiasts-newsletter-june-july-1989 Listener Feedback Dropcheck redesigned Atari 1450XL (1250XL) motherboard - https://forums.atariage.com/topic/357529-building-testing-the-re-imaged-atari-1450xl/ 

Start Your Transformation Now  In this powerful episode of the Transformational Interview Series, Jim sits down with Gail Freis, a commercial insurance agent and entrepreneur from Chicago, whose life was turned upside down by an unimaginable tragedy. Four minutes into her wedding ceremony, her fiancé's sister collapsed and passed away. The ripple effect shattered Gail's relationship, finances, and self-worth. But through TCP, she rebuilt her life, doubling her income year after year, discovering her true values, and transforming from victim mentality into empowerment and resourcefulness.  Gail candidly shares her struggles with money, scarcity, and self-sabotage, and how TCP helped her uncover subconscious patterns, release victimhood, and step into responsibility. Her story highlights the pivotal role of mindset, boundaries, and self-worth in creating financial freedom and emotional healing.  If you've ever felt stuck in scarcity, overwhelmed by tragedy, or trapped in victim thinking, this episode will inspire you to find your resourcefulness and reclaim your power. What You'll Discover in This Episode:  The Wedding Tragedy That Changed Everything (05:04) How one shocking moment during her wedding ceremony forced Gail into survival mode and became the catalyst for her transformation.  Breaking Free from Victim Mentality (16:00) The subtle ways she lived in victimhood without realizing it—and the moment she finally took full responsibility.  Rewriting Scarcity and Money Stories (18:59) How Gail dismantled her lifelong money struggles and shifted into abundance and resourcefulness.  The $40,000 Lesson (20:30) Why a devastating betrayal became her turning point for never allowing lack or exploitation to control her again.  Doubling Her Income Every Year (25:43) The mindset shifts and responsibility that led Gail to double her income annually since TCP.  Boundaries That Reshape Relationships (27:00) How learning to set boundaries eliminated toxic people and invited healthier connections.  From Scarcity to a Porsche (31:28) How reclaiming self-worth and resourcefulness allowed Gail to create abundance—and even drive her dream car.  Listen, apply, and enjoy!  Transformational Takeaway  Your past tragedies and limiting stories don't define your future—your choices do. As Gail discovered, freedom begins when you release victimhood, set clear boundaries, and take radical responsibility for how you show up. Transformation isn't about avoiding pain; it's about finding the resourcefulness to rise above it and create the life you truly deserve.  Let's Connect:  Instagram | Facebook | YouTube | LinkedIn  LIKED THE EPISODE?  If you're the kind of person who likes to help others, then share this with your friends and family. If you have found value, they will too. Please leave a review on Apple Podcasts so we can reach more people.  Listening on Spotify? Please leave a comment below. We would love to hear from you!  With gratitude, Jim 

Start Your Transformation Now  In this inspiring episode of the Transformational Interview Series, Jim sits down with Sally McMurray, a TCP graduate from Sydney, Australia, who turned around three of the biggest areas in her life—health, marriage, and money. From living with Crohn's disease for over 40 years to being on the brink of divorce and feeling stuck in her business, Sally's journey is a testament to the power of mindset shifts, responsibility, and self-healing.  Sally opens up about how stress-triggered Crohn's was controlling her life, the control patterns that nearly destroyed her 30-year marriage, and the fear-based thinking that kept her business small. She shares the pivotal TCP tools—like self-hypnosis, letting go of control, and redefining her identity—that have helped her heal physically, reconnect with her husband, and embrace her business as a true career.  If you've ever felt trapped by a diagnosis, stuck in a strained relationship, or overwhelmed by money anxiety, this episode will show you how lasting transformation is possible when you're willing to be honest with yourself and take action.  What You'll Discover in This Episode:  Healing Is an Inside Job (07:12) Why calming the mind allowed Sally's body to finally start healing from a decades-long chronic condition.  Letting Go of Control to Save a Marriage (10:33) How releasing the need to control everything transformed her 30-year relationship.  From Red Hot Mess to Responsibility (12:43) The TCP module that revealed her own patterns—and shifted her from blaming to owning her actions.  Treating Business Like a Career, Not a Hobby (21:02) The mindset shift that helped Sally commit fully to her jewelry business.  Living as a ‘Polished Rock' (28:24) How letting life's challenges roll off her has brought true freedom and lightness.  The Power of the TCP Community (34:19) Why support, accountability, and shared breakthroughs accelerate personal transformation.  Listen, apply, and enjoy!  Transformational Takeaway  Your diagnosis, relationship status, or financial situation does not define you—your mindset does. As Sally discovered, lasting change comes from within. By letting go of control, calming your mind, and committing fully to your own growth, you create the space for healing, deeper connection, and greater abundance. Transformation isn't about avoiding life's challenges—it's about meeting them as your most powerful self.  Let's Connect:  Instagram | Facebook | YouTube | LinkedIn  LIKED THE EPISODE?  If you're the kind of person who likes to help others, then share this with your friends and family. If you have found value, they will too. Please leave a review on Apple Podcasts so we can reach more people.  Listening on Spotify? Please leave a comment below. We would love to hear from you!  With gratitude, Jim 

Building things for people to use has been our guest’s goal since entering university in the 1960s. Total Network Operations is delighted to welcome Jack Haverty, who’s been instrumental in ARPANET operations and innovation, the development of TCP, and more. He takes us through the history of the internet from the early days of ARPANET,... Read more »

Building things for people to use has been our guest’s goal since entering university in the 1960s. Total Network Operations is delighted to welcome Jack Haverty, who’s been instrumental in ARPANET operations and innovation, the development of TCP, and more. He takes us through the history of the internet from the early days of ARPANET,... Read more »

Start Your Transformation Now  In this inspiring episode of the Transformational Interview Series, Jim sits down with Roel Van Oostenbruggen, a TCP graduate who transformed his life by confronting his deepest fears. From feeling the pressure to “do it right” to overcoming lifelong patterns of anxiety and self-doubt, Roel's story is a raw, relatable look at what it takes to break free from fear-driven living and reclaim your personal power.  Roel shares how his fear showed up in hidden ways—in his marriage, parenting, money mindset, and even in starting his business—and how TCP gave him the tools to finally stop letting fear dictate his choices. You'll hear the pivotal moments when he recognized that anger was masking fear, the mindset shifts that allowed him to become more present with his family, and how embracing discomfort opened the door to authentic confidence and connection.  If you've ever let fear keep you from living fully—or doubted your ability to change—this conversation will show you that transformation is possible when you're willing to see yourself clearly and step into your power.  What You'll Discover in This Episode:  The “Stick Behind the Door” Approach to Showing Up Fully (03:13) Why investing in yourself creates the commitment needed for deep transformation.  From Perfectionism to Progress (07:32) How Roel broke free from the need to “do it right” and started embracing growth over perfection.  Recognizing Fear in Disguise (10:19) The moment Roel realized that his anger was actually fear—and how that awareness changed everything.  How Facing Fear Strengthened His Marriage and Parenting (17:58) The surprising ways personal transformation improved his relationship and parenting presence.  The Turning Point in His Business Confidence (27:07) How he stopped avoiding self-promotion and began naturally attracting clients.  Why Pressure Can Be the Forge for Your Potential (28:14) Reframing pressure as a growth tool instead of something to avoid.  The Master Thought Formula in Action (31:09) How Roel used this TCP tool to handle a stressful business situation with clarity and calm.  Listen, apply, and enjoy!  Transformational Takeaway  Fear will rob you of your highest potential if you let it. As Roel discovered, the key isn't to eliminate fear—it's to stop making decisions from it. When you recognize fear for what it is and choose to act from your values instead, you step into your true power. Life becomes less about avoiding discomfort and more about leaning into it, knowing you have the strength to handle whatever comes your way.  Let's Connect:  Instagram | Facebook | YouTube | LinkedIn  LIKED THE EPISODE?  If you're the kind of person who likes to help others, then share this with your friends and family. If you have found value, they will too. Please leave a review on Apple Podcasts so we can reach more people.  Listening on Spotify? Please leave a comment below. We would love to hear from you!  With gratitude, Jim