Bryan Boreham

So, do we like generics or not? Some people feared they’d be the end of the language. Others were very hopeful, and had clear use cases, and were thrilled about the feature coming to the language. It was also often touted as the reason a lot of people didn’t adopt Go. So what do we think now? Mat and Kris are joined by Roger Peppe and Bryan Boreham to discuss the state of Generics in Go. Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Featuring:Roger Peppe – GitHub, XBryan Boreham – XMat Ryer – Website, GitHub, LinkedIn, XKris Brandow – GitHub, XShow Notes: New slices package Go 1.21 release notes Roger’s talk on unconstrained generics Roger’s proposal on type assertions Roger’s generics mini testing framework Mat’s mini testing framework Dishwasher video Dishwasher video v2 Something missing or broken? PRs welcome!

Miriah Peterson and Bryan Boreham share insights on optimizing Go program performance by discussing profiling, resource constraints, CPU and I/O efficiency, code optimization, memory allocation, and the impact of garbage collection. They also touch on transitioning from Ruby to Go, performance bottlenecks, and controversial views on Python in data engineering.

Join Miriah Peterson and Bryan Boreham in a discussion on optimizing Go programs for performance. They cover profiling, design philosophy, resource requirements, mechanical sympathy, memory optimization, and the nuances of writing efficient Go code. Also, explore the drawbacks of using 'I rate' function in Prometheus query language and Apple's Pickle language release.