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118 episodes
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Ship It! Ship It! #96

Productivity engineering at Netflix

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2024-03-23T17:00:00Z #ops 🎧 7,098

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.

Ship It! Ship It! #94

Scoring your project’s security

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2024-03-09T23:00:00Z #ops +1 🎧 6,443

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.

Changelog & Friends Changelog & Friends #27

The state of homelab tech (2024)

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2024-01-19T21:00:00Z #homelab +2 🎧 20,388

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?

Practical AI Practical AI #243

Self-hosting & scaling models

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2023-10-31T18:00:00Z #ai +2 🎧 29,213

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.

Practical AI Practical AI #240

Generative models: exploration to deployment

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2023-10-03T19:00:00Z #ai +2 🎧 35,035

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.

Changelog Interviews Changelog Interviews #545

Rebuilding DevOps from the ground up

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2023-06-22T13:30:00Z #oss +2 🎧 26,085

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.

Ship It! Ship It! #90

Kaizen! Embracing change 🌟

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2023-03-02T16:15:00Z #ops +2 🎧 13,952

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.

Ship It! Ship It! #89

Rust efficiencies at AWS scale

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2023-02-16T14:50:00Z #ops +3 🎧 12,895

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.

Practical AI Practical AI #211

Serverless GPUs

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2023-02-14T21:30:00Z #ai +2 🎧 23,655

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!

Practical AI Practical AI #210

MLOps is alive and well

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2023-02-07T21:00:00Z #ai +2 🎧 22,879

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.

Ship It! Ship It! #88

Treat ideas like cattle, not pets

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2023-02-02T16:00:00Z #ops +1 🎧 9,762

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.

Ship It! Ship It! #87

Why we switched to serverless containers

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2023-01-26T14:35:00Z #serverless +1 🎧 10,188

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.

Ship It! Ship It! #86

Human scale deployments

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2023-01-20T17:15:00Z #ops +2 🎧 8,272

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”?

Ship It! Ship It! #85

The hard parts of platform engineering

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2023-01-11T18:45:00Z #ops +1 🎧 10,015

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.

Ship It! Ship It! #84

Bare metal meets Talos Linux (the K8s OS)

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2023-01-05T16:40:00Z #ops +2 🎧 7,956

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.

Ship It! Ship It! #83

🎄 Planning for failure to ship faster 🎁

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2022-12-15T14:30:00Z #ops +4 🎧 8,328

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! 🎄🎁

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