Matt Holt joins Jon Calhoun to discuss Caddy, its history, and the process of creating a v2 of the popular web server. In the episode they discuss some of the challenges encountered while building the v2, reasons for doing a major rewrite, and more.
In this episode, Gerhard follows up on The Changelog #375, which is the last time that he spoke Crossplane with Dan and Jared. Many things changed since then, such as abstractions and compositions, as well as using Crossplane to build platforms, which were mostly ideas.
Fast forward 18 months, 2k changes, as well as a major version, and Crossplane is now an easy choice - some would say the best choice - for platform teams to declare what infrastructure means to them. You can now use Crossplane to define your infrastructure abstractions across multiple vendors, including AWS, GCP & Equinix Metal. The crazy ideas from 2019 are now bold and within reach. Gerhard also has an idea for the changelog.com 2022 setup. Listen to what Jared & Dan think, and then let us know your thoughts too.
In Kenya, 33% of maternal deaths are caused by delays in seeking care, and 55% of maternal deaths are caused by delays in action or inadequate care by providers. Jacaranda Health is employing NLP and dialogue system techniques to help mothers experience childbirth safely and with respect and to help newborns get a safe start in life. Jay and Sathy from Jacaranda join us in this episode to discuss how they are using AI to prioritize incoming SMS messages from mothers and help them get the care they need.
Luis Villa of Tidelift joins the show to discuss GitHub Copilot and the implications of an AI pair programmer from a legal perspective.
This week Adam is joined by Eugenio Pace, co-founder and CEO of Auth0. Auth0 is a for developers, by developers identity, access, security, and authentication platform built for the cloud that secures billions of logins every year. Mid 2020 they raised $120 million at a $1.92 billion valuation after being told no several times. Then, earlier this year in March they announced they were being acquired by Okta for $6.5 billion, in a bold and future-thinking all stock deal. This episode is full of wisdom, inspiration, and tactical advice that Eugenio has used to build Auth0.
Mihai and Ashley join Jon to discuss data streaming. What is it, why is it being used, and common mistakes developers make when setting up. They also discuss some of the tools in the ecosystem, including Benthos, a tool created by Ashley Jeff’s to make the plumbing part of data streaming easier to get right.
In today’s episode, Gerhard is joined by Uma, CEO and co-founder of ChaosNative, as well as Karthik, CTO and also a ChaosNative co-founder. They talk Chaos Engineering and Litmus.
Chaos Engineering is not just for super SREs. It is not meant to prevent outages. And, it is not just about hardware. Chaos Engineering is about testing how reliable your systems are. It’s meant to show you how things fail, including when other dependent systems fail - think cascading failures. This is a good way to discover inconvenient truths about that beautiful code that you wrote. Everything fails, and great insights are to be found when it does.
This week we’re joined by Lara Hogan – author of Resilient Management and management coach & trainer for the tech industry. Lara led engineering teams at Kickstarter and Etsy before she, and Deepa Subramaniam stepped away from their deep roots in the tech industry to start Wherewithall – a consultancy that helps level up managers and emerging leaders.
The majority of our conversation focuses on the four primary hats leaders and managers end up wearing; mentoring, coaching, sponsoring, and delivering feedback. We also talk about knowing when you’re ready to lead, empathy and compassion, and learning to lead.
SLICED is like the TV Show Chopped but for data science. Competitors get a never-before-seen dataset and two-hours to code a solution to a prediction challenge. Meg and Nick, the SLICED show hosts, join us in this episode to discuss how the show is creating much needed data science community. They give us a behind the scenes look at all the datasets, memes, contestants, scores, and chat of SLICED.
This week Adam is joined by Asim Aslam, the founder of Micro - a new cloud platform entirely focused on the developer experience of consuming and publishing public APIs. Asim’s journey spans many years of open source work on Micro. His sole focus right now, is evolving that work into a commercially viable business. This episode is jam-packed with stories of great timing, grit, resilence, success and failure, and, of course, lessons learned.
On this episode, we make our big Frontend Feud announcement, welcome Amelia to the party, then share a metric crap ton of productivity tips & tricks: scripting, pomodoro, retaining your dev flow, and more!
Mat Ryer and Jerod Santo sit down to review and discuss the MOST and LEAST unpopular “unpopular opinions” since we started keeping track of such things. Also Generics.
This week we’re sharing a special episode of our new podcast called Ship It. This episode is our Kaizen-style episode where we point our lens inward to Changelog.com to see what we should improve next. The plan is do this episode style every 10 episodes.
Gerhard, Adam, and Jerod talk about the things that we want to improve in our setup over the next few months. We talk about how the June Fastly outage affected changelog.com, how we responded that day, and what we could do better. We discuss multi-cloud, multi-CDN, and the next sensible and obvious improvements for our app.
In this episode, Gerhard talks to his Skyhook Adventure friends: Alan Cooney, Saul Cullen & Wycliffe Maina. They are the ones that introduced Gerhard to the world of serverless in the context of Amazon Web Services. Gerhard shared his experience with remote work, how to ship software with confidence and consistency, and what to look for in infrastructure as code.
At the heart of Skyhook Adventure are adventure trips, and 2020 was not a good one for this business. As you can already tell, code and infrastructure was not the biggest challenge for this team. Having said that, serverless, microservices, a monorepo and the event-based architecture played a big part in successfully navigating the challenges.
This is a story about what happens when a good team allows itself to be guided by solid experience and keeps doing the right thing, long-term. It’s fun, real, and it applies to many.
AI is being used to transform the most personal instrument we have, our voice, into something that can be “played.” This is fascinating in and of itself, but Yotam Mann from Never Before Heard Sounds is doing so much more! In this episode, he describes how he is using neural nets to process audio in real time for musicians and how AI is poised to change the music industry forever.
This week we’re talking with Nick Janetakis about modern unix tools, and the various commands, tooling, and ways we use the commmand line. Do you Bash or Zsh? Do you use
bat? What about
tldr? Today’s show is a deep dive into unix tools you know and love, or should know and maybe love.
This week we talk with Kent C. Dodds, one of the greatest React teachers in the industry, all about React! Why choose React over another framework? What are the hardest parts about learning React? You’ll find out this week!
Gerhard talks to Tom Wilkie, VP of Product for Grafana Labs. They talk about Loki, Tempo, and how can Grafana Cloud offer such a generous free tier. The solution is in the Cortex architecture, which was used in Loki and in Tempo too. Yes, Tom is the Cortex co-author. We recommend that you listen to this episode in combination with episodes 3 and 11. That’s the best way to get a more complete picture of the topics that we discuss today.
Lastly, would you like to watch Gerhard & Tom pair-up and build Grafana dashboards like pros? Tom has this really interesting approach that Gerhard would like to learn too. We can either have a live YouTube stream, or record and then publish the video. Let us know your preference via our Changelog Slack, or just plain Twitter.
The panel are joined by Teiva Harsanyi, author of 100 Go Mistakes, to talk about how best to make mistakes when writing Go.
Inspired by a recent article from Erik Bernhardsson titled “Building a data team at a mid-stage startup: a short story”, Chris and Daniel discuss all things AI/data team building. They share some stories from their experiences kick starting AI efforts at various organizations and weight the pro and cons of things like centralized data management, prototype development, and a focus on engineering skills.
Feross is back with a brand new web app for us to pick apart! Wormhole is the fastest way to send files on the internet and we want to know why he built it, how it works, and what crazy hacks he invented along the way.
Gerhard talks with Charity Majors, ops engineer and accidental startup founder at honeycomb.io about high-performing teams, why “15 minutes or bust,” and how we should start using Honeycomb in our own monolithic Phoenix app that runs changelog.com. There is just one step, and it’s actually really simple!
They also talk about how Honeycomb uses Honeycomb to learn about Honeycomb, which is one of Gerhard’s favorite questions. As for key take-aways, deploying straight into production is really important, but not as important as optimising for humans - which are not replaceable cogs, that learn and share their learnings continuously. That is the secret to making things easy and happy for everyone.
What is a Product Manager, and do Engineers need them? In this episode, we will be discussing what a Product Manager does, what makes a good Product Manager, and debating if engineering teams truly need them, with some tech companies going without them. We are joined by Gaëlle Sharma, Senior Technical Product Manager, at the New York Times, leading the Identity group.
On this special edition of The Changelog, we tell Vim’s story from the mouths of its users. Julia Evans, Drew Neil, Suz Hinton, and Gary Bernhardt join Jerod Santo for a deep and wide-ranging discussion about “the best text editor that anyone ever wrote.”
9 out of 10 AI projects don’t end up creating value in production. Why? At least partly because these projects utilize unstable models and drifting data. In this episode, Roey from BeyondMinds gives us some insights on how to filter garbage input, detect risky output, and generally develop more robust AI systems.
This week we’re talking to Rasmus Andersson about his journey as a software creator. We talk about the work he’s doing right now on Playbit, a computing environment which encourages playful learning, building, and sharing of software. We also talk about his work on the Inter typeface, as well as the reasons why this font family needed to be free and open source.
The panel discusses all the things that have to happen before you write a lick of code. Then, for Story of the Week: Dan Abramov thinks npm audit is broken by design. We also have thoughts. Lots of ’em.
Go modules brought about quite a few changes to the Go ecosystem. One of those changes is semantic import versioning (SIV), which has a fairly pronounced effect on how libraries are identified. In this episode we are joined by Tim Heckman and Peter Bourgon to discuss some of the downsides to these changes and how it has lead to what a subset of the Go community refers to as the “v2+ problem.”
Kaizen means “change for the better”, continuous improvement in this context. Failure is essential to learning, but how do we learn as a team? The simplest thing is to regularly dedicate time for taking a step back, talking about what works & what doesn’t, maybe writing some of it down, and eventually deciding what we should improve next. I intend to make every 10th Ship It! episode a Kaizen one.
This is the first one when we talk with Adam and Jerod about the things that we want to improve in our setup over the next few months. We talk about how the June Fastly outage affected changelog.com, how we responded that day, and what we could do better. We discuss multi-cloud, multi-CDN, and the next sensible and obvious improvements for our app. Let us know via Slack or Twitter what learnings are valuable to you so that we can produce the best content for you.
How did we get from symbolic AI to deep learning models that help you write code (i.e., GitHub and OpenAI’s new Copilot)? That’s what Chris and Daniel discuss in this episode about the history and future of deep learning (with some help from an article recently published in ACM and written by the luminaries of deep learning).