Distributed systems are hard. Building a distributed messaging system for these systems to communicate is even harder. In this episode, we unpack some of the challenges of building distributed messaging systems (like NATS), including how Go makes that easy and/or hard as applicable.
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.
Mat, Johnny and Jon are joined by Elias, creator of Gio, to discuss GUIs. Specifically, we explore the pros and cons of immediate vs retained mode and explore some examples of each, as well how some frameworks like React are attempting to bring the benefits of immediate mode to a retained mode world (the DOM).
The gang discusses WebRTC with Sean DuBois, creator of the Pion project and author of a pure Go WebRTC implementation. What exactly is WebRTC? Why is it so popular for video chatting? How does it work under the hood, and how does it compare with other real-time communication options?
Today we’re featuring conversations from different perspectives on working from home from our JS Party, Go Time, and Brain Science podcasts here on Changelog.com. Because, hey…if you didn’t know we have 6 active podcasts in our portfolio of shows. Head to changelog.com/podcasts to collect them all!
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?
What does it take to organize a community event? How do you ensure it is diverse? What does diversity even mean? Tune in to learn directly from organizers of some of the most diverse Go meetups (Gophercon EU and Go Bridge).
Bryan Liles joins Johnny and Mat for a wide-ranging discussion that starts with the question: what even is enterprise Go?
Working from home can be challenging, especially amid school closings and everything else caused by COVID-19. In this episode panelists Jon, Mat, Carmen, and Mark share advice and experiences they have accumulated over many years of working from home. They cover separating your work space from your personal space, signaling to your family that you are busy, ways to keep track of the time, and suggestions for getting some exercise in when you can.
Dave Cheney talks to us about the Zen of Go (ten engineering values for writing simple, readable, maintainable Go code). What makes code good in Go? What guiding principles should we bear in mind when writing Go?
In this episode Jaana and Mat are joined by Daniel and Miriah to dive into AI in Go. Why has python historically had a bigger foothold in the AI scene? Is machine learning in Go growing? What libraries and tools are out there for someone looking to get started with AI? And where do you start if you don’t have enough data for your own models?
Newsletters play a unique role for developers. As the Go community continues to grow and mature, these newsletters provide a much-needed filter for the oft overwhelming stream of new articles, talks, and libraries produced by the community on a weekly basis.
In this episode Johnny, Jon, and Mat are joined by Peter Cooper of the Golang Weekly newsletter to discuss his role as a newsletter curator. We explore difficult topics that touch on ethics and responsibilities of a curator and of course, the impact Peter and his team have on shaping, at least in part, what many in the Go community get exposed to.
Interfaces are everywhere in Go. The basic error type is an interface, writing with the
fmt package means you are probably using an interface, and there are countless other instances where they pop up. In this episode Mark, Mat, Johnny, and Jon discuss interfaces at length, exploring what they are, how they are using them in their own projects, as well as tips for how you can leverage them in your own code.
Carmen, Mat, and Jon are joined by Steve Francia and Julie Qiu to discuss the new Go.dev website. What was the motivation behind it? What technology was used to build it? How are they working to make package discovery better? And what resources are there to help you convince your manager to use Go on that upcoming project?
In this episode, we’re joined by Kelsey Hightower to discuss the evolution of cloud infrastructure management, the role Kubernetes and its API play in it, and how we, as developers and operators, should be adapting to these changes.
Jaana, Jon, and Mat are joined by John Graham-Cumming, the CTO of Cloudflare, to discuss Go at Cloudflare along with John’s unique involvement in Gordon Brown’s apology to Alan Turing. How did Cloudflare get started with Go? What problems do they use Go for and when to they turn to other languages? And how exactly did John’s petition for an apology to Turing get so popular?
Mat, Carmen, and Jon are joined by Dan Scales to talk about Mat’s favorite keyword in Go - defer. Where did the defer statement come from? What problems can it solve? How has it shaped how we write Go code? How are other languages solving similar problems? And what exactly was changed in Go 1.14 to improve the performance of defer?
Grab a hot beverage and a warm blanket because it’s time for a fireside chat with the Go Time panel! We discuss many topics of interest: what we’d build if we had 2 weeks to build anything in Go, the things about Go that “grind our gears”, our ideal work environments, and advice we’d give ourselves if we were starting our career all over again.
Go was designed with concurrency in mind. That’s why we have language primitives like goroutines, channels, wait groups, and mutexes. They’re very powerful when used correctly, but they can be very complicated if used unwisely.
Roberto Clapis joins the team once again to drop async wisdom in your ears. Don’t worry, we do it in serial. 😉
Mat, Johnny, and Jaana are joined by Francesc Campoy to talk about Graph databases. We ask all the important questions — What are graph databases (and why do we need them)? What advantages do they have over relational databases? Are graph databases better at answering questions you didn’t anticipate? How is data structured? How do queries work? What problems are they good at solving? What problems are they not suitable for? And…since we had Francesc on the hot seat, we asked him about Just for Func and when it’s coming back.