From writing and optimizing Go code to common gotchas with the Go standard library, Damian Gryski shared his thoughts on Go performance optimization and outlined best practices for writing high-performance Go code. Available in English, 中文, and Español.

When and where to optimize — Every optimization has a cost. Generally this cost is expressed in terms of code complexity or cognitive load – optimized code is rarely simpler than the unoptimized version. But there’s another side that I’ll call the economics of optimization. As a programmer, your time is valuable. There’s the opportunity cost of what else you could be working on for your project, which bugs to fix, which features to add. Optimizing things is fun, but it’s not always the right task to choose. Performance is a feature, but so is shipping, and so is correctness.

Damian Gryski joined the show and talked with us about perfbook, performance profiling, reading white papers for fun, fuzzing, and other interesting projects and news.