GopherCon 2021: Felix Geisendörfer - Go Profiling and Observability from Scratch

This talk is for anybody who is interested in reducing costs and latency, or debugging problems such as memory leaks, infinite loops, performance regressions, etc.
We'll begin by establishing a simple but useful mental model for the Go runtime and explain how Go differs from other compiled languages. This will serve as a foundation to understand the built-in CPU, Memory, Block, Mutex, and Goroutine Profilers as well as the Runtime Tracer.
Additionally, the presentation will cover eBPF, Linux Perf, and Delve. By the end, viewers should walk away with a solid understanding of the various tools one can use to optimize and debug Go applications.

[@iKayos]

This is by far the most informative golang video I have ever come across.

[@JaihindhReddy]

This talk is chock-full of good information about profiling, especially experiential information. Thanks a lot Felix!

[@jayleejw1801]

Thanks for this video. It helps me realise I really not interested in such details about golang 😂

[@hamzadlm6625]

what is wonderful presentation!

[@WomboBraker]

Holy fuck how did i stumble upon to this gem! Amazing!!!!

[@amirehsandar6782]

Good stuff

[@XiGlenGu]

Has anyone figured out the real cause of the json-marshal acceleration？

[@vinodrajj]

Can this PPT is sharable ?

[@chiahsinglin6675]

Hope the voice could be more louder

[@nickandrievsky5705]

Nice video. You just drop the ball by being unable to understand results of your own test application behavior.

[@AlexanderDemin]

The “else” based way is by far the ugliest and most confusing and must be avoided :-)