The panel discuss the parts of Go they never use. Do they avoid them because of pain in the past? Were they overused? Did they always end up getting refactoring out? Is there a preferred alternative?

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.

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.

Nishant Roy, Engineering Manager at Pinterest Ads, joins Johnny & Jon to detail how they’ve managed to continue shipping quality software from startup through hypergrowth all the way to IPO. Prepare to learn a lot about Pinterest’s integration and deployment pipeline, observability stack, Go-based services and more.

On a previous episode of Go Time we discussed binary bloat, and how the Go protocol buffer implementation is a big offender. In this episode we dive into the history of protocol buffers and gRPC, then we discuss how the protocol and the implementation can vary and lead to things like binary bloat.

How do beginners learn Go? This episode is meant to engage both non-Go users that listen to sister podcasts here on Changelog, or any Go-curious programmers out there, as well as encourage those that have started to learn Go and want to level up beyond the basics. On this episode we’re aiming to answer questions about how to learn Go, identify resources that are available, and where you can go to continue your learning journey.

Matt Holt & Mohammed S. Al Sahaf sit down with Natalie & Jon to discuss every gopher’s favorite open source web server with automatic HTTPS!

In addition to laying out what Caddy is and why it’s interesting, we dive deep into how you can (and why you might want to) extend Caddy as a result of its modular architecture.

Ed Welch joins Mat and Jon to discuss logging. They explore the different options for logging in Go, and discuss what data is worth including. Everything from log levels, formats, non-structured vs structured logs, along with common gotchas and good practices when dealing with logs at scale.

Let’s talk about the concept of immutable databases, the problems they target, and why you’d want to build one in Go.

Mark Sandstrom and Ben Kraft join Jon and Mat to talk about GraphQL. What exactly is it this query language everyone has been talking about? How does it work? What Go libraries are out there, and where should you get started?

One of the most common questions we receive at Go Time is how to handle schema migrations in Go. In this episode Jon is joined by Mike Fridman and Vojtech Vitek, maintainers of the popular schema migration tool pressly/goose, to discuss techniques, tools, and tips for handling schema migrations.

Our award winning ready survey game show is back, this time live from GopherCon 2021!

Go Time panelists Natalie & Jon join forces with Go Team members Steve Francia, Katie Hockman, Julie Qui, and Rob Findley to battle it out and see who can better guess what the GopherCon gophers had to say!

In this episode Dominic speaks with Jon about his experience transitioning to using a screen reader and learning to code without his vision. They discuss how some of the tooling works, things other developers can do to make their code more accessible for blind teammates, and more.

Tiago Mendes joins Mat, Jon, and Johnny to discuss eventual consistency and strategies for changing data at scale.

Bryan Boreham (Grafana Labs) and Jordan Lewis (Cockroach Labs) join Mat and Jon to talk about memory management in Go. We learn about the heap, the stack, and the garbage collector. There are also some absolute gems of wisdom scattered throughout this episode, don’t miss it.

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.

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.

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.”

Learning Go with code pop quizzes is a fun way to zoom in on different language features. People are looking forward to pop quizzes on Twitter and in conferences, and they also learn from that. Let’s chat about pop quizzes!

In the past decade a variety of games have emerged where players need to create an AI to play the game rather than play the game directly. In this episode we speak with the creator of one of those games - Battlesnake. Brad Van Vugt joins us to talk about building a game engine using Go, making programming games easier for beginners to get started with, the long term vision for games like Battlesnake, and more.