Run Go Service in Docker. Why use Docker at all? By using Docker, you can create a neat deploy system for yourself. You can easily change the port for Go web server without changing the Go code itself. You can run multiple different databases at the same time.
Of course, you can create Go executable for every system and you can run it where-ever you want. That’s true.
By using Docker, you can create a neat deploy system for yourself. And you do not care, what system actually runs on the final machine. You only want the machine to run Docker. You can easily stop and start multiple programs (multiple services if you like this terminology). You can easily change the port for Go web server without changing the Go code itself. You can run multiple different databases at the same time.
You can do a lot using Docker and I advise you to invest time to learn it.
For those of you not familiar with Docker, I recommend Bret Fisher’s Docker Mastery. This helped me to move from “what the hell is Docker” to “great, what else can I use Docker for”.
And for those of you already familiar with Docker, but want to know more, this talk can give you much more understanding about containers at all.
Open Golang and create new file called Dockerfile in your project directory. Insert code below. Those command will create empty image using
FROM scratch and then copy content from css, html, js and linux directory.
We are going to create a Docker container that will act as an executable to process some image files. We are going to use Go (Golang) to write an image processing program. For this, we would be working with Docker VOLUME, ENTRYPOINT, and other Dockerfile instructions.
Go announced Go 1.15 version on 11 Aug 2020. Highlighted updates and features include Substantial improvements to the Go linker, Improved allocation for small objects at high core counts, X.509 CommonName deprecation, GOPROXY supports skipping proxies that return errors, New embedded tzdata package, Several Core Library improvements and more.
In this article, we are going to look at some of the basic APIs of the http package to create and initialize HTTPS servers in Go
Go is praised by everyone for achieving extremely high concurrent performance, but Why? In this Golang (Go) tutorial, I’ll introduce how the Go program to achieve extremely high concurrent performance, and its internal scheduler implementation architecture (G-P-M model). I’ll also explain how Go can make full use of computing resources, and how the Go scheduler deals with threads step by step
In this article, we are going to see the four important collection types built into the language. we start with humble Arrays, Maps, Slices