In this episode we answer any/all questions from a new Go developer. Features, best practices, quirks of the language… it’s all on the table for discussion.

Event-driven systems may not be the go-to solution for everyone because of the challenges they can add. While the system reacting to events published in other parts of the system seem elegant, some of the complexities they bring can be challenging. However, they do offer durability, autonomy & flexibility.

In this episode, we’ll define event-driven architecture, discuss the problems it solves, challenges it poses & potential solutions.

The Go ecosystem has a hoard of tools and editors for Gophers to choose from and it can be difficult to find ones that are a good fit for each individual. In this episode, we discuss what tools and editors we’re using, the ones we wish existed, how we go about finding new ones, and why we sometimes choose to write our own tools.

Return guests Ben Johnson & Chris James join Mat & Kris to talk about the files and folders of your Go projects, big and small. Does the holy grail exist, of the perfect structure to rule them all? Or are we doomed to be figuring this out for the rest of our lives?

Matthew Boyle, the author of Domain-Driven Design with Golang, sits down with Jon & Mat to talk about (you guessed it!) DDD with Go.

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.

That is the question. Whether ’tis nobler in the mind to suffer the slings and arrows of outrageous test coverage, or to take arms against a sea of bugs…

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.

In this episode, we’re joined by tech Lawyer Luis Villa to explore the question, who owns code? The company, the engineer, the team? What about when you’re using AI, Machine learning, GitHub Copilot… is that still your code?

Egon Elbre and Roger Peppe join Mat for a conversation all about bloat (and how to avoid it). Expect talk of code bloat, binary bloat, feature bloat, and an even-more-bloated-than-usual unpopular opinion segment.

Go 1.18 was a major release where we saw the introduction of generics into the language as well as other notables such as fuzzing and workspaces. With Go 1.19 slated to come out next month, one has to wonder what’s next. Are we in store to be blown away by new and major features like we saw in 1.18? Not exactly but there are still lots of improvements to be on the lookout for.

Joining Mat & Johnny to touch on some of the most interesting ones is Carl Johnson, himself a contributor to the 1.19 release.

The year is 2053. The tabs-vs-spaces wars are long over. Ron Evans is the only Go programmer still alive on Earth. All he does is maintain old Go code. It’s terrible! He must find a way to warn his fellow gophers before it’s too late. Good thing he finally got that PDQ transmission system working…

On this episode, Michael Matloob and Daniel Martí pinky promise not to talk about Go 1.18’s two big features (fuzzing and generics). Instead, we’re focusing in on the other cool stuff that’s new!

You had questions, the Go Team had answers! Topics covered include generics (of course), governance (of course), Go 2, text editors, GitHub Copilot, garbage collection, and more.

Natalie and Mat explore hacking in Go from the eyes of 2 security researchers. Joakim Kennedy and JAGS have both used Go for hacking: writing malware, hardware hacking, reverse engineering Go code, and more.

We’re celebrating our 200th episode with a crazy game of Gophers Say! Mat Ryer hosts two epic teams including Go Time OGs Carlisia, Erik, and Brian!

Building software is difficult and time consuming, but the maintenance of software is where we spend the majority of our time. In this episode, Ian and sam join Johnny and Kris to discuss how to build actually maintainable software, the features of Go that make it good for writing maintainable software, and different ways that we might define the term “maintenance”.

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.

We discuss how Test Driven Development (TDD) can help you write better code, and build better software. Packed with tips and tricks, gotchas and best practices, the panel explore the subject and share their real-world experiences.

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.

In this insight-filled episode, Bill Kennedy joins Johnny and Kris to discuss best practices around the design of software in Go. Bill talks through scenarios, lessons learned, and pitfalls to avoid in both architecture and coding of Go projects.

Documentation. You can treat it as a dictionary or reference manual that you look up things in when you get stuck during your day-to-day work OR (and this is where things get interesting) you can immerse yourself in a subject, domain, or technology by deeply and purposefully consuming its manuals cover-to-cover to develop expertise, not just passing familiarity.

In this episode we pull in perspectives and anecdotes from beginners and veterans alike to understand the impact of RTFM deeply. Also Sweet Filepath O’ Mine?!?!

Mat Ryer hosts our don’t-call-it-jeopardy game show live at GopherCon! Kat Zień, Mark Bates, and L Körbes put their Go knowledge to the test! Can you outwit our intrepid contestants?

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.

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.

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?”

Robert and Ian join us to talk about the latest updates on generics in Go. What type of feedback are they looking for as developers get their hands on tools designed to experiment with generics and Go? What was the deal with the featherweight Go paper that also discussed generics? Why can’t we use angle brackets for generics?

Databases are tricky, especially at scale. In this episode Mat, Jaana, and Jon discuss different types of databases, the pros and cons of each, along with the many ways developers can have issues with databases. They also explore questions like, “Why are serial IDs problematic?” and “What alternatives are there if we aren’t using serial IDs?” while at it.

Put on your dark hoodie, turn all the lights off, and join the author of Black Hat Go as we explore the darker side of Go.

What is a microservice, and what is a monolith? What differentiates them? When is a good time for your team to start considering the transition from monolith to microservice? And does using microservices mean you can’t use a monorepo?