A couple of weeks ago I gave a talk at the largest Go conference, GopherCon, in Denver. It was the first time I attended GopherCon at all, and the first time ever I spoke in English in front of 1400+ people, and it was an absolutely incredible experience. Here is my story. My journey to GopherCon started on a cold winter day in the apartments in the center of Odessa, Ukraine, where I was living at that time.
As Go community slowly moving towards established and well understood patterns and practices of dependency management, there are still some confusing moments. One of them is automating repeatable build process using containers along with using dependencies in private repositories. Private repositories on Github are often is a source of confusion when using go get, but it has easy workaround by adding two lines to your .gitconfig: [url "email@example.com:"] insteadOf = https://github.com/ or as a oneliner: git config --global url."firstname.lastname@example.org:".insteadOf "https://github.com/" But the most confusing part is trying to make the whole build process work inside the container.
One of the strongest sides of Go programming language is a built-in concurrency based on Tony Hoare’s CSP paper. Go is designed with concurrency in mind and allows us to build complex concurrent pipelines. But have you ever wondered - how various concurrency patterns look like? Of course, you have. We’re all thinking mostly by visualization in one form or another. If I ask you something involving “numbers from 1 to 100” you will have your own image of the series in your head, even without realizing it.
Over the years of existence of Go programming language, the articles with its critique was always popular, bringing a lot of discussion from both sides. Recently, Maksim Kochkin even created GitHub repo with curated list of articles complaining about golang’s imperfection. So, is it true that ranting about Go flaws is a trend nowadays? With carefully gathered links in the repository above, we can check this! :) Unfortunately, there are only 17 articles in the list, which is a bit disappointing because it’s not enough for fine statistical analysis, but we can use this anyway.
Note: this post was originally written for the Go Advent 2015 series, but I discovered that a post with almost exactly the same subject (and even similar code!) already planned :) That’s amazing. Golang is often used for writing microservices and various backends. Often these type of software do some computation, read/write data on external storage and expose it’s API via http handlers. All this functionality is remarkably easy to implement in Go and, especially if you’re creating 12factor-compatible app, Go is your friend here.
I recently translated great article — Errors are values by Rob Pike — and we discussed it in our podcast Golangshow (in russian). One thing I was surprised about is that even experienced Go developers sometimes do not understand the core idea of that article. Looking back, I remember my first impressions when I read it for the first time. It was similar to “It looks like Pike just adds some complexity to what could’ve been solved gracefully with exceptions”.