Raj Dutt is the founder and CEO of Grafana Labs. Grafana has become the world’s most popular open source technology used to compose observability dashboards (we use Grafana here at Changelog). Raj and team are 100% focused on building a sustainable business around open source. They have this “big tent” open source ecosystem philosophy that’s driving every aspect of building their business around their open source, as well as other projects in the open source community. But, to understand the wisdom Raj is leading with today, we have to go back to where things got started. To do that we had to go back like Prince to 1999…
We have a BIG show for you today. We’re talking about the future of the Mac. Coming off of Apple’s “One more thing.” event to launch the Apple M1 chip and M1 powered Macs, we have a two part show giving you the perspective of Apple as well as a Mac app developer on the future of the Mac.
Part 1 features Tim Triemstra from Apple. Tim is the Product Marketing Manager for Developer Technologies. He’s been at Apple for 15 years and the team he manages is responsible for developer tools and technologies including Xcode, Swift Playgrounds, the Swift language, and UNIX tools.
Part 2 features Ken Case from The Omni Group. Ken is the Founder and CEO of The Omni Group and they’re well known for their Omni Productivity Suite including OmniFocus, OmniPlan, OmniGraffle, and OmniOutliner – all of which are developed for iOS & Mac.
Nick, and Kball are joined by Mike Hartington to talk about Ionic, the state of web components, developer tooling, and more!
Monitoring and debugging distributed systems is hard. In this episode, we catch up with Kelsey Hightower, Stevenson Jean-Pierre, and Carlisia Thompson to get their insights on how to approach these challenges and talk about the tools and practices that make complex distributed systems more observable.
What’s it like to try and build your own deep learning workstation? Is it worth it in terms of money, effort, and maintenance? Then once built, what’s the best way to utilize it? Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. He built a workstation for his NLP and Speech work with two GPUs, and it has been serving him well (minus a few things he would change if he did it again).
We’re joined by George Neville-Neil, aka Kode Vicious. Writing as Kode Vicious for ACMs Queue magazine, George Neville-Neil has spent the last 15+ years sharing incisive advice and fierce insights for everyone who codes, works with code, or works with coders. These columns have been among the most popular items published in ACMs Queue magazine and it was only a matter of time for a book to emerge from his work. His book, The Kollected Kode Vicious, is a compilation of the most popular items he’s published over the years, plus a few extras you can only find in the book. We cover all the details in this episode.
What the what is DivOps?! That’s the question Jonathan Creamer is here to answer. In so doing, we cover the past, present, and future of frontend tooling.
When we talk about improving a programming language, we often think about what features we would add. Things like generics in Go, async/away in JS, etc. In this episode we take a different approach and talk about what we would remove from Go to make it better.
Weights & Biases is coming up with some awesome developer tools for AI practitioners! In this episode, Lukas Biewald describes how these tools were a direct result of pain points that he uncovered while working as an AI intern at OpenAI. He also shares his vision for the future of machine learning tooling and where he would like to see people level up tool-wise.
We’re talking with Gerhard Lazu, our resident SRE, ops, and infrastructure expert about the evolution of Changelog’s infrastructure, what’s new in 2020, and what we’re planning for in 2021. The most notable change? We’re now running on Linode Kubernetes Engine (LKE)! We even test the resilience of this new infrastructure by purposefully taking the site down. That’s near the end, so don’t miss it!
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.
Today we welcome Matt Klein into our Maintainer Spotlight. Matt is the creator of Envoy, born inside of Lyft. It’s an edge and service proxy designed for cloud-native applications. Envoy was unexpectedly popular, and completely changed the way Lyft considers what and how to open source. While Matt has had several opportunities to turn Envoy into a commercial open source company, he didn’t. In today’s conversation with Matt we learn why he choose a completely different path for the project.
We take up a listener request this week and have an honest conversation about jQuery. Then, it’s time for something new! Our friends at Hot New Tech review tone.js for us. After that, it’s Pro Tip Time!
In this episode we discuss Mislav’s experience building not one, but two Github CLIs - hub and gh. We dive into questions like, “What lead to the decision to completely rewrite the CLI in Go?”, “How were you testing the CLI, especially during the transition?”, and “What Go libraries are you using to build your CLI?”
We’re joined by Elisha Goldstein, PhD - one of the world’s preeminent mindfulness teachers, a clinical psychologist, founder of the Mindful Living Collective and, creator of the six-month breakthrough program - A Course in Mindful Living. If you’ve ever used the Calm app, you might be familiar with his voice as he walks you through mindfulness practices to help calm negative emotions and anxious thoughts. He has extensive expertise in mindfulness based stress reduction (MBSR) and today he’s sharing his wealth of knowledge using mindfulness to naturally reduce anxiety and be more present and aware in our lives.
Hamish from Sajari blows our mind with a great discussion about AI in search. In particular, he talks about Sajari’s quest for performant AI implementations and extensive use of Reinforcement Learning (RL). We’ve been wanting to make this one happen for a while, and it was well worth the wait.
PostgreSQL aficionado Craig Kerstiens joins Jerod to talk about his (and our) favorite relational database. Craig details why Postgres is unique in the world of open source databases, which features are most exciting, the many things you can make Postgres do, and what the future might hold. Oh, and some awesome
psql tips & tricks!
Ben Ilegbodu joins Divya, Suz, & Amal to talk about introducing TypeScript at Stitch Fix, why TypeScript and React work well together, building component libraries, and more.
With Gophercon rapidly approaching, we go behind the scenes to find out what it takes to deliver the world’s largest Go conference.
Marc Beinder is building a podcast hosting web application as a part of his senior project while at Lindenwood University. In this brief Backstage episode, Marc picks Jerod’s brain about how we built our platform and challenges we ran into along the way.
Rajiv Shah teaches Daniel and Chris about data leakage, and its major impact upon machine learning models. It’s the kind of topic that we don’t often think about, but which can ruin our results. Raj discusses how to use activation maps and image embedding to find leakage, so that leaking information in our test set does not find its way into our training set.
Maxime Vaillancourt joined us to talk about Shopify’s massive storefront rewrite from a Ruby on Rails monolith to a completely new implementation written in Ruby. It’s a fairly well known opinion that rewrites are “the single worst strategic mistake that any software company can make” and generally something “you should never do.” But Maxime and the team at Shopify have proved successful in their efforts in this massive storefront rewrite and today’s conversation covers all the details.
Gleb Bahmutov, PhD joins the show for a fun conversation around end-to-end testing. We get the skinny on Cypress, find out how it’s structured as both an open source library and a SaaS business, tease apart the various types of tests you may (or may not) want to have, and share a lot of laughs along the way.
Can’t find a job working in Go? Perhaps introducing your current team to Go is the solution. In this episode we talk about how Go was introduced at different organizations, potential pitfalls that may sabotage your efforts, some advice on how to convince your team and CTO to use Go and more.
Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. She sheds light on how AI can and is being used in recruiting, and she weaves in some great explanations of how graph-structured data, personalization, and representation learning can be applied to LinkedIn’s candidate search problem. Suju is passionate about helping people deal with machine learning technical debt, and that gives this episode a good dose of practicality.
We’re joined by Jim Haughwout (Head of Infrastructure and Operations) and Stefan Ålund (Principal Product Manager) from Spotify to talk about how they manage hundreds of teams producing code and shipping at scale. Thanks to their recently open sourced open platform for building developer portals called Backstage, Spotify is able to keep engineering squads connected and shipping high-quality code quickly — without compromising autonomy.
Our much anticipated Family Feud
rip-off inspired game show is finally here! Emma was joined by Nick and special guest Abenezer Abebe to form the Hypertext Assassins. KBall captained (despite never seeing Family Feud before) the DSL Destroyers with Mikeal and special guest Ali Spittel.
What is cloud native? In this episode Johnny and Aaron explain it to Mat and Jon. They then dive into questions like, “What problems does this solve?” and “Why was Go such a good fit for this space?”
We’re joined by co-founder of Plataformatec and curator of the excellent Elixir Radar newsletter, Hugo Baraúna. We talk Elixir podcasts, the start of a new chapter for Hugo, his experimentations with Elixir Radar, curating content, how to make money, stuff like that.