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.
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.
In this episode we talk with Daniel and Steve about their experience with event-driven systems and shed some light on what they are and who they might be for. We explore topics like the complexity of setting up an event-driven system, the need to embrace eventual consistency, useful tools for building event-driven systems, and more.
Programmers are taught very early on about the importance of organizing their code. Whether it is naming variables and functions, or naming and organizing files, this is a topic covered early in nearly every programming course.
All of this begs the question: why is it so damn hard to figure out how to structure Go code?
Startups are all about iterating quickly, building MVPs, and finding that elusive product market fit, so how does Go fit into that picture? Is Go a good choice for startups, or is it exclusively for the larger corporations? In this episode Jon is joined by four startup founders to learn about their experience building a startup with Go.
The internet wouldn’t exist as we know it if it weren’t for TCP and UDP, yet many developers don’t quite understand the technology powering the web. In this episode we talk with Adam Woodbeck, author of Network Programming with Go, to learn about TCP and UDP; what they are, how they work, and how one can experiment with tools like Wireshark and Go to learn more.
In this episode we explore how Clever started using Go. What technologies did Clever start with, how did they transition to Go, and what were the motivations behind those changes? We then explore some of the OS tech written by the team at Clever.
Michael Knyszek from the Go team joins us to talk about what happens when a program ends. How are file handles cleaned up? When are deferred functions run, and when are they skipped entirely? Is there a way to terminate all running goroutines? Tune in to learn the answers to these questions and more!