
Changelog Master Feed
2,387 episodes — Page 16 of 48

Rust efficiencies at AWS scale (Ship It! #89)
Tim McNamara is known as New Zealand's Rust guy. He is the author of Rust in Action, and also a Senior Software Engineer at AWS, where he helps other builders with all things Rust. The main reason why Gerhard is intrigued by Rust is the incredible resource frugality. Fewer CPUs means less energy used, which is good for the planet, and good for the monthly bill. This becomes most noticeable at Amazon's scale, when S3, Lambda, CloudFront and other services start adding Rust components.

Serverless GPUs (Practical AI #211)
We've been hearing about "serverless" CPUs for some time, but it's taken a while to get to serverless GPUs. In this episode, Erik from Banana explains why its taken so long, and he helps us understand how these new workflows are unlocking state-of-the-art AI for application developers. Forget about servers, but don't forget to listen to this one!

Load testing a $4 VPS, TOML for .env files, counting unique visitors sans cookies, the Arc browser & a love letter to Deno (Changelog News #31)
Alice Girard Guittard finds out how much she could you really get out of a $4 VPS, Brett Cannon wonders if using TOML for .env files is a good idea, Nic Mulvaney details how they count unique visitors to a website without using cookies, UIDS, or fingerprinting, after a few months, Chris Coyier is still using the Arc browser & Alex Kladov pens a love letter to Deno.

Git with your friends (Changelog Interviews #526)
This week we invited our friend Mat Ryer to join us for some good conversation about some Git tooling that's been on our radar. You may know Mat from Go Time and also Grafana's Big Tent, which we help to produce. We speculate, we discuss, we laugh, and Mat even breaks into song a few times. It's good fun.

Generative AI for devs (JS Party #262)
The panel dives into the current hot topic that is Generative AI. They start by defining it (a surprisingly difficult topic), then go into experiences they've had, how to get started working with it as a developer, and where they think it will and will not be useful in the near future.

Is htmx the way to Go? (Go Time #266)
A quick look at the history of building web apps, followed by a discussion of htmx and how it compares to both modern and traditional ways of building.

MLOps is alive and well (Practical AI #210)
Worlds are colliding! This week we join forces with the hosts of the MLOps.Community podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss related tooling, workflows, perceptions, etc.

OpenAI's new text classifier, teach yourself CS, programming philosophies are about state, you might not need Lodash & overrated scalability (Changelog News #30)
OpenAI's working on an AI classifier trained to distinguish between AI-written and human-written text, Oz Nova and Myles Byrne created a guide to teach yourself computer science, Charles Genschwap recently realized that all the various programming philosophies can be boiled down into a simple statement about how to work with state, you probably don't need Lodash or Underscore anymore & Waseem Daher thinks scalability is overrated.

Qwik has just the right amount of magic (JS Party #261)
A deep dive into Qwik, how it makes your apps fast by default, and the carefully calibrated amount of "magic" that makes it uniquely powerful.

How to ace that CFP (Go Time #265)
It's "Call For Papers" (CFP) season in Go land, so we gathered some seriously experienced conference organizers to help YOUR submission be the best ever.

Treat ideas like cattle, not pets (Ship It! #88)
In our ops & infra world, we learn to optimise for redundancy, for mean time to recovery and for graceful degradation. We instinctively recognise single points of failure, and try to mitigate the risks associated with them. For some years now, Daniel Vassallo has been doing the same, but in the context of life & work. Daniel talks about the role of randomness, about learning from small wins & about optimising for a lifestyle that matches your true preferences. Apparently, ideas too should be treated like cattle, not pets.

3D assets & simulation at NVIDIA (Practical AI #209)
What's the current reality and practical implications of using 3D environments for simulation and synthetic data creation? In this episode, we cut right through the hype of the Metaverse, Multiverse, Omniverse, and all the "verses" to understand how 3D assets and tooling are actually helping AI developers develop industrial robots, autonomous vehicles, and more. Beau Perschall is at the center of these innovations in his work with NVIDIA, and there is no one better to help us explore the topic!

Data tool belts, Build Your Own Redis, the giscus comments system, prompt engineering shouldn't exist & ALPACA (Changelog News #29)
Jeremia Kimelman takes stock of his "data tool belt", Build Your Own Redis with C/C++ is ready to read, giscus is a comments system powered by GitHub Discussions, Matt Rickard says prompt engineering shouldn't be a thing and won't be a thing in the future & Kolja Lubitz's ALPACA is engine for building adventure games and interactive comics.

Mainframes are still a big thing (Changelog Interviews #524)
This week we're talking about mainframes with Cameron Seay, Adjunct Professor at East Carolina University and a member of the Governing Board of the Open Mainframe Project. If you've been curious about mainframes, this show will be a great guide. Cameron explains exactly what a mainframe is and how it's different from the cloud. We talk COBOL and the state of education and opportunities around that language. We cover the state-of-the-art in mainframe land, System Z, Linux on mainframes, and more.

Long-term code maintenance (Go Time #264)
Ole Bulbuk & Sandor Szücs join Natalie to discuss the ins & outs of long-term code maintenance. What does it take to maintain a codebase for a decade or more? How do you plan for that? What about inheriting a codebase for the long term? Oh, and (how) can AI help?

Why we switched to serverless containers (Ship It! #87)
Last September, at the 🇨🇭 Swiss Cloud Native Day, Florian Forster, co-founder & CEO of ZITADEL, talked about why they switched to serverless containers. ZITADEL has a really interesting workload that is both CPU intensive and latency sensitive. On top of this, their users are global, and traffic is bursty. Florian talks about how they evaluated AWS, GCP & Azure before they settled on the platform that met their requirements.

GPU dev environments that just work (Practical AI #208)
Creating and sharing reproducible development environments for AI experiments and production systems is a huge pain. You have all sorts of weird dependencies, and then you have to deal with GPUs and NVIDIA drivers on top of all that! brev.dev is attempting to mitigate this pain and create delightful GPU dev environments. Now that sounds practical!

What's new in Astro 2 (JS Party #260)
Fred K. Schott joins the party again to discuss all the new and fun changes in Astro 2. Nick and KBall dig in on what's new, what's exciting, and what to expect from the framework built around content.

Prioritizing tech debt, UI components to copy/paste, learnings from 20 years in software, git-sim & jqjq (Changelog News #28)
Max Countryman wrote up a framework for prioritizing tech debt, shadcn builds a copy/paste-able UI component library in public, Justin Etheredge shares 20 things he's learned in his 20 years as a software engineer, Jacob Stopak's git-sim lets you easily visualize git operations without affecting your repo & Mattias Wadman implemented jq in jq.

Just Postgres (Changelog Interviews #523)
This week we're talking about by Postgres with Craig Kerstiens, Chief Product Officer at Crunchy Data, and a well known ambassador for Postgres. Just Postgres. That's what this week's show is about.

How do you define joy? (JS Party #259)
Jerod & the gang analyze the State of JS 2022 survey results, play a wicked game of HeadLIES & share some Pro Tips to help you live your best dev life.

Human scale deployments (Ship It! #86)
Lars is big on Elixir. Think apps that scale really well, tend to be monolithic, and have one of the most mature deployment models: self-contained releases & built-in hot code reloading. In episode 7, Gerhard talked to Lars about "Why Kubernetes". There is a follow-up YouTube stream that showed how to automate deploys for an Elixir app using K3s & ArgoCD. More than a year later, how does Lars think about running applications in production? What does simple & straightforward mean to him? Gerhard's favourite: what is "human scale deployments"?

Who owns our code? Part 2 (Go Time #263)
Tech lawyer Luis Villa returns to Go Time to school us once again on the intellectual property concerns of software creators in this crazy day we live in. This time around, we're focusing on the implications of Large Language Models, code generation, and crazy stuff like that.

Machine learning at small organizations (Practical AI #207)
Why is ML is so poorly adopted in small organizations (hint: it's not because they don't have enough data)? In this episode, Kirsten Lum from Storytellers shares the patterns she has seen in small orgs that lead to a successful ML practice. We discuss how the job of a ML Engineer/Data Scientist is different in that environment and how end-to-end project management is key to adoption.

Premium PCB cheat sheets, a disappearing AWS dev, HyperSwitch, Servo is back at it & Cloudflare Wildebeest (Changelog News #27)
WestArtFactory's premium PCB cheat sheets, Maxime Topolov tells of a disappearing AWS dev, Juspay Technologies releases HyperSwitch for payment processing, Servo gets new funding for 2023 & Cloudflare's open source Wildebeest.

The principles of data-oriented programming (Changelog Interviews #522)
Jerod is joined by Yehonathan Sharvit, author of Data-Oriented Programming, to discuss the virtues of treating data as a first-class citizen in our applications and the four principles that make it possible.

The rise & fall of JS frameworks (JS Party #258)
KBall and Chris dive into the current JavaScript trends towards smaller frameworks, compiled JavaScript, and why Chris believes "this time is different" with regards to developers caring about network speed and reducing JS sent over the wire.

How Go helped save HealthCare.gov ♻️ (Go Time #262)
Paul Smith (from "Obama's Trauma Team") tells us the tale of how Go played a big role in the rescuing and rebuilding of the HealthCare.gov website. Along the way we learn what the original team did wrong, how the rescue team kept it afloat during huge traffic spikes, and what they've done since to rebuild it to serve the people's needs.

The hard parts of platform engineering (Ship It! #85)
Marcos Nils has been into platform engineering for the best part of the last decade. He helped architect & build developer platforms using VMs & OpenStack, containers with Docker, and even Kubernetes. He did this at startups with 10 people, as well as large, publicly traded companies with 1000+ software engineers. Today we talk with Marcos about the hard parts of platform engineering.

ChatGPT goes prime time! (Practical AI #206)
Daniel and Chris do a deep dive into OpenAI's ChatGPT, which is the first LLM to enjoy direct mass adoption by folks outside the AI world. They discuss how it works, its effect on the world, ramifications of its adoption, and what we may expect in the future as these types of models continue to evolve.

A simpler alternative to deleted_at, rules of thumb for better software, faking it until you automate it, the only civilized way to read online & AI and the big five (Changelog News #26)
Brandur Leach's easy, alternative soft deletion strategy, Lane Wagner's zen of proverbs, Nicolas Carlo says fake it until you can automate it, Felix A. Crux thinks feeds are the only civilized way to read online & Ben Thompson analyzes AI and the big five tech companies.

Don't sleep on Ruby & Rails (Changelog Interviews #521)
Welcome to 2023 — we're kicking off the year talking to Justin Searls about the state of web development and why he just might write a "You Might Not Need React" post. He's been so productive using Turbo and Stimulus (and tailwind) in Rails 7 that we had to talk about the state of Rails development today and a bunch of other fun topics around building for the web in 2023.

New Year's Party 🪩 (JS Party #257)
It’s our 4th annual New Year’s party! Jerod & the gang review our (failed) resolutions from last year, discuss what’s trending in the web world, make a few predictions of our own & even set some new (probably failed) resolutions for this year.

A special New Year's fireside chat (Go Time #261)
Mat and the gang ring in the new year by gathering around a make believe fireplace and discussing what they're excited about in 2023, their new years resolutions & a little bit of Go talk, too. But only a *little*.

Bare metal meets Talos Linux (the K8s OS) (Ship It! #84)
Welcome to 2023! A new year is the perfect time to start with a fresh perspective. Given a few bare metal hosts with fast, local storage, how would you run your workloads on them? Would you cluster them for redundancy? What operating system would you choose? Steve Francis, CEO at Sidero Labs and Andrew Rynhard, CTO at Sidero Labs join us today to talk about running Talos Linux on bare metal.

NLP research by & for local communities (Practical AI #205)
While at EMNLP 2022, Daniel got a chance to sit down with an amazing group of researchers creating NLP technology that actually works for their local language communities. Just Zwennicker (Universiteit van Amsterdam) discusses his work on a machine translation system for Sranan Tongo, a creole language that is spoken in Suriname. Andiswa Bukula (SADiLaR), Rooweither Mabuya (SADiLaR), and Bonaventure Dossou (Lanfrica, Mila) discuss their work with Masakhane to strengthen and spur NLP research in African languages, for Africans, by Africans. The group emphasized the need for more linguistically diverse NLP systems that work in scenarios of data scarcity, non-Latin scripts, rich morphology, etc. You don't want to miss this one!

Clipboard, unbundling tools for thought, microfeed, prepare to be productive & a look inside Matrix (Changelog News #25)
Jackson Huff's clipboard powertool for the command line, Fernando Borretti thinks tools for thought should be unbundled, Listen Notes helps you run a microfeed on Cloudflare, Martin Rue says to be productive, be prepared & Paul Sawers takes TechCrunch readers inside Matrix and features its recent adoption wins.

State of the "log" 2022 (Changelog Interviews #520)
Our 5th annual year-end wrap-up episode! Sit back, relax, pour a glass of your favorite beverage and join us for listener voice mails, our favorite episodes, some must-listens, and of course the top 5 most listened to episodes of the year. Thanks for listening! 💚

Your brain on burnout (Brain Science #33)
We're back! This is from our "lost episodes" — This is your brain...and this is your brain on burnout, any questions? OK, but seriously, burnout effects everyone, even if they/you don't admit it. Burnout is a state of physical, emotional, and mental exhaustion caused by prolonged stress. It can affect ANYONE, but it is especially common among high-performers who push themselves to the limit. In this episode, we dive into the latest research on burnout and its effects on the brain, as well as offer practical advice for preventing and managing burnout. If you're heading into 2023 feeling overwhelmed and drained, this episode is for you.

GPT has entered the chat (Changelog Interviews #519)
To wrap up the year we're talking about what's breaking the internet, again. Yes, we're talking about ChatGPT and we're joined by our good friend Shawn "swyx" Wang. Between his writings on L-Space Diaries and his AI notes repo on GitHub, we had a lot to cover around the world of AI and what might be coming in 2023. Also, we have one more show coming out before the end of the year — our 5th annual "State of the log" episode where Adam and Jerod look back at the year and talk through their favorite episodes of the year and feature voices from the community. So, stay tuned for that next week.

Big news in Deno Land (JS Party #256)
Deno creator Ryan Dahl goes one-on-one with Jerod to discuss their new npm support, why he's so excited about JavaScript containers, Deno Deploy's present & future, what he thinks about alternative runtimes like Bun, WinterCG, how Wasm fits into the story & more!

Making Go more efficient (Go Time #260)
Mat invites Bartłomiej Płotka, Kemal Akkoyun & Christian Simon to discuss how to make Go code more efficient through modern observability practices.

🎄 Planning for failure to ship faster 🎁 (Ship It! #83)
Eight months ago, in 🎧 episode 49, Alex Sims (Solutions Architect & Senior Software Engineer at James & James) shared with us his ambition to help migrate a monolithic PHP app running on AWS EC2 to a more modern architecture. The idea was some serverless, some EKS, and many incremental improvements. So how did all of this work out in practice? How did the improved system cope with the Black Friday peak, as well as all the following Christmas orders? Thank you Alex for sharing with us your Ship It! inspired Kaizen story. It's a wonderful Christmas present! 🎄🎁

SOTA machine translation at Unbabel (Practical AI #204)
José and Ricardo joined Daniel at EMNLP 2022 to discuss state-of-the-art machine translation, the WMT shared tasks, and quality estimation. Among other things, they talk about Unbabel's innovations in quality estimation including COMET, a neural framework for training multilingual machine translation (MT) evaluation models.

tRPC, a bug tracker embedded in git, awesome ChatGPT prompts, half-baked cloud dev envs & Whisper.cpp (Changelog News #24)
tRPC helps you move fast and break nothing, Michael Muré embeds a bug tracker in git, Fatih Kadir Akın curates some awesome ChatGPT prompts, Mike Nikles thinks dev environments in the cloud are a half-baked solution & Georgi Gerganov ports OpenAI's Whisper model to a lightweight, portable C/C++ program.

Coming home to GitHub (Changelog Interviews #518)
This week we're joined by Christina Warren, Senior Developer Advocate at GitHub, and a true tech and pop culture connoisseur. From her days at Mashable covering the intersections of entertainment and technology, to Gizmodo, to Microsoft, and now her current role at GitHub we talk with Christina about her journey from journalist to developer, and the latest happenings coming out of GitHub Universe. BTW, we're planning to get Christina on Backstage in the new year to talk about Plex, MakeMKV, and all things that go into hosting your own media server. Drop a commment on this episode with a +1 if you want to see that happen.

Learning CSS in 2023 (JS Party #255)
KBall interviews CSS instructor & YouTuber extraordinaire Kevin Powell in a wide ranging discussion about CSS and how to learn it - what to start with, what to ignore, and various topics in between.

Hacking with Go: Part 3 (Go Time #259)
Ivan Kwiatkowski joins Natalie once again for a follow-up episode to Hacking with Go: Part 2. This time we'll get Ivan’s perspective on the way Go's security features are designed and used, from the user/hacker perspective. And _of course_ we will also talk about how AI fits into all this...

Red Hat's approach to SRE (Ship It! #82)
Narayanan Raghavan leads the global SRE organization that runs Red Hat managed cloud services including OpenShift Dedicated, Azure Red Hat Openshift, Red Hat OpenShift Service on AWS, and Red Hat OpenShift Data Science among others across the three major cloud providers: AWS, GCP & Azure. We start with a high-level discussion about DevOps, SRE & platform engineering, and then we dig into SRE specifics, including what it takes to safely roll out updates across many tens of thousands of OpenShift clusters.

AI competitions & cloud resources (Practical AI #203)
In this special episode, we interview some of the sponsors and teams from a recent case competition organized by Purdue University, Microsoft, INFORMS, and SIL International. 170+ teams from across the US and Canada participated in the competition, which challenged students to create AI-driven systems to caption images in three languages (Thai, Kyrgyz, and Hausa).