Gina Häußge is here to tell us about the infra behind the OctoPrint project, which tests and releases new versions that work on multiple different printers and gets deployed hundreds of thousands of times.

Danielle Lancashire is here to tell us how Fermyon cloud is built on top of nomad and EC2 and how they put it in a box with Kubernetes and WebAssembly.

Jon “gzip enthusiast” Johnson joins us for a history lesson on compression & how it impacts everything from containers to Alpine.

Andrew Atkinson joins Autumn & Justin to tell them why folks should (and are) picking PostgreSQL as their database in 2024 and how to scale it.

All of the health anxiety of early internet adopters traced back to WebMD’s self diagnosis. Some sysadmin’s on-call nightmares came from a different part of the site.

Anita Zhang is here to tell us how Meta manages millions of bare metal Linux hosts and containers. We also discuss the Twine white paper and how AI is changing their requirements.

In this episode Justin and Autumn are joined by Mandi Walls to take you back to a time before the cloud. Before Kubernetes. When a/s/l was common and servers were made of metal. Back to the days of AOL to discuss how chat rooms worked.

Paul Frazee joins the show to tell us all about how Bluesky builds, tests, and deploys mobile and web applications from the same code base.

Why would you want to switch your developer environments from containers to nix? Ádám from LastPass has a few reasons.

Verónica López, Kubernetes SIG Release tech lead & distributed systems engineer, joins Justin & Autumn to share her experiences deploying services at scale.

Justin & Autumn take you with them to the 2024 SoCal Linux Expo where they asked six fellow attendees about their favorite open source projects and their least favorite commands.

What’s the difference between productivity engineering and platform engineering? How can you continue to re-platform with a moving target? On this episode, we’re joined by Andy Glover, who spent ten years productivity engineering at Netflix, to discuss.

Kyle Quest joins the show to tell Autumn & Justin all about the evolution of DockerSlim & minimal container images. Why are small container images important? What are different strategies to make containers smaller? Let’s find out!

Autumn and Justin are joined by Chris Swan to discuss tech industry trends like AI and sustainability, gamifying the software development process and motivating devs to write more secure code, OpenSSF Scorecards and how they offer a way to measure and improve the security and compliance of GitHub repos, the scoring system, and the security posture of a repository.

Wanny Morellato & Deepak Mohandas from Kong join Justin & Autumn to discuss building, testing & running a load balancer that can run anywhere.

What do you do when your infrastructure runs 1000 miles away and you only have access every 90 minutes? Find out from Andrew Guenther from Orbital Sidekick.

We’re back! Jason Hall joins the show to tell Justin & Autumn all about how Chainguard builds hundreds of containers without a single Dockerfile.

Techno Tim is back with Adam to discuss the state of homelab in 2024 and the trends happening within homelab tech. They discuss homelab environments providing a safe place for experimentation and learning, network improvement as a gateway to homelab, trends in network connection speeds, to Unifi or not, storage trends, ZFS configurations, TrueNAS, cameras, home automation, connectivity, routers, pfSense, and more.

Umm, should we make these conversations between Adam and Tim more frequent?

We’re excited to have Tuhin join us on the show once again to talk about self-hosting open access models. Tuhin’s company Baseten specializes in model deployment and monitoring at any scale, and it was a privilege to talk with him about the trends he is seeing in both tooling and usage of open access models. We were able to touch on the common use cases for integrating self-hosted models and how the boom in generative AI has influenced that ecosystem.

What is the model lifecycle like for experimenting with and then deploying generative AI models? Although there are some similarities, this lifecycle differs somewhat from previous data science practices in that models are typically not trained from scratch (or even fine-tuned). Chris and Daniel give a high level overview in this effort and discuss model optimization and serving.

Gerhard joins us for the 11th Kaizen and this one might contain the most improvements ever. We’re on Fly Apps V2, we’ve moved from S3 to R2 & we have a status page now, just to name a few.

On Monday, Kelsey Hightower announced his retirement from Google. On Tuesday, he sat down with us to discuss why, how & what’s next.

Along the way, Kelsey teaches us how not to suck at work, analyzes his magical demos, fights off the haters (again) & opines on System Initiative, Dagger & 37Signals moving off the cloud.

This week we’re joined by Adam Jacob and we’re talking about his mission at System Initiative to rebuild DevOps. They are out of stealth mode and ready to show off their transformative new power tool that reimagines what’s possible from DevOps. It’s an intelligent automation platform that allows DevOps teams to build detailed interactive simulations of their infrastructure and use them to rapidly update their production environments.

This is our 9th Kaizen with Adam & Jerod. We start today’s conversation with the most important thing: embracing change. For Gerhard, this means putting Ship It on hold after this episode. It also means making more time to experiment, maybe try a few of those small bets that we recently talked about with Daniel. Kaizen will continue, we are thinking on the Changelog. Stick around to hear the rest.

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.