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5 reasons why Go is taking over DevOps in 2021?

Ankit Anand ✨
Your friendly content curator on DevOps, open-source projects, application performance monitoring & cloud native technologies 👨🏽‍💻
・2 min read

Go is a compiled, concurrent, garbage-collected, statically typed language developed at Google. According to Rob Pike, one of the creators of Go, the language was designed by and for people who write - and read and debug and maintain - large software systems.

Go is an excellent programming language for engineering large software projects. Some of the most popular container technologies used in DevOps like Docker and Kubernetes are written in Go.

It is also loved by the Dev community. According to 2020 developer survey by Stackoverflow, Go stands at 5th position in the list of of most loved programming languages and at 3rd position in the list of most wanted languages to learn.

So what are some of the characteristics of Go programming language that makes it great for DevOps.

Go programs are statically linked

When you compile a Go program, everything is included as a single binary and there are no external dependencies that will need to be installed on the targeted machine that the Go program is intended to run on. And this makes the deployment of Go programs really easy.

Build and deployment of Go programs

Even though Go is a compiled language, it compiles directly into machine code as opposed to intermediate object code which is required for Java. Go was designed to be extremely fast. Here’s a small benchmark game comparing Go vs Python.

Go is platform independent

Binary executables of Go programs can be produced for any platform like Windows, Linux and macOS. In order for a binary to be supported on the different operating systems all it takes is setting two environment variables: $GOOS, $GOARCH.

Extremely performant language

Go program has fast compilation times and fast runtimes with lower resource usage like CPU and memory especially when compared to language like Python. As the compiler fails the run if there are unused imports, the compilation time is short. And as the code is compiled to machine code, it also executes fast.

Availability of Standard libraries

Unlike Python which often requires the use of third party libraries to implement a particular Python program, the Go programming language has a standard library which includes a lot of built-in functionality that you will need as a DevOps engineer.
This includes functionality like file processing, HTTP web services, JSON processing, native support for concurrency and parallelism as well as built-in testing modules.

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Discussion (6)

weltam profile image
Welly Tambunan

i like golang for tooling, but for low latency it's still not ready yet. as it's still have GC. if there's no docker and k8s i think it won't survive. but right now a lot of tooling already created for that.

It's great to have more choices. golang compiler is fast, but the code might not be optimized. and it's from google, so the progress is bit slow. angularjs, flutter etc. I just worry if golang doesn't have a foundation that take care of that.

cpp has iso, java has openjdk, rust have foundation, .net have foundation.. so let's see

sharpninja profile image
The Sharp Ninja

The only languages that matter to a DevOps engineer are Bash and PowerShell. Go may be great for writing tools that DevOps engineers use, but those tools will be used in .sh or .ps1 files.

pjotre86 profile image

Hey! You list some advantages of golang here. Nothing wrong with that.
But how does it relate to DevOps in particular, like the title suggests?

pranay01 profile image
Pranay Prateek

One point which comes to mind is that Kubernetes ( is written primarily in Go. So, if you want to understand the internals of k8s, knowing Go would come in very handy.

Also, many tools like Prometheus ( which devops engineers user are in Go

hanpari profile image
Pavel Morava

So GoLang is faster than CPython. Shocking, indeed.

And it has standard library, unlike Python.

This is good news, I presume. Not expected at all.

Less informed folks would think that interpreted language would be slower than compiled one and that Python boasted Battery included philosophy for a reason, but hey, now we know better.

aghost7 profile image
Jonathan Boudreau

The only reason is ultimately because its used by Google and has a good marketing budget unlike less known languages like D.