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DevOps Roadmap with Go

Docker, Kubernetes, Terraform and Prometheus are all written in Go. This path teaches the platform first (Linux, Git, Docker, Kubernetes and SQL), then Go as the language you automate it with: tools that ship as one binary and talk to the same APIs as kubectl and the Docker CLI. Free, in your browser, with a certificate for each course.

229,501+ codders enrolled across these courses

608 lessons608 challenges3,551 quiz questions

The DevOps roadmap with Go, step by step

6 courses9 sections608 lessons608 challenges3,551 quiz questions

Each step is an existing Coddy course. The first five are the DevOps path's own, whatever language you automate with, and the last step's Start button opens the Go course. Take them in order, or jump into the one you are missing: progress is saved per course either way.

  1. 1
    Start this stepStartNavigate the filesystem, manage files and permissions, chain commands with pipes, read logs and write bash scripts. The Go tools you write later run on Linux and call these same commands through os/exec, so learn them by hand first.StartDedicated page
  2. 2
    Start this stepStartCommits, branches, merging, resolving conflicts, remotes and undoing mistakes. Every pipeline starts from a Git repository, and publishing a Go module is a Git operation: its versions are Git tags such as v1.2.0.StartDedicated page
  3. 3
    Start this stepStartImages, containers, Dockerfiles, volumes and container networking, practiced hands-on. A Go program is among the easiest things to containerize: compile it in one build stage, then copy the binary into a nearly empty image.StartDedicated page
  4. 4
    Start this stepStartPods, YAML manifests, Deployments, Services, ConfigMaps and Secrets, driven with kubectl against a simulated cluster: scale, roll out, roll back and debug a Pod stuck in CrashLoopBackOff. kubectl works by calling the Kubernetes API, the same API a Go program reaches through client-go.StartDedicated page
  5. 5
  6. 6
    Start this stepStartFundamentals, control flow, structs, methods and interfaces, then goroutines and channels: the language for turning a runbook into a tool that ships as one binary. It takes the place of the DevOps path page's Python step; the five steps before it are unchanged.StartDedicated page
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Intro to Variables
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A variable is a named container that stores a value you can reference later in your program.

In Python, you create one by writing the name, an equals sign, then the value you want to store.

The value can change over time - reassigning the name simply points it to a new value.

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Why learn DevOps with Go on Coddy

  • The language your tools are written in. Docker, Kubernetes, Terraform, Prometheus, Helm and kubectl are Go programs, and extending them (a Terraform provider, a Kubernetes controller, a Prometheus exporter) is usually done in Go too.
  • One binary, any machine. go build produces a single executable, fully static with CGO_ENABLED=0, and GOOS=linux GOARCH=arm64 cross-compiles it from your laptop. Nothing to install on the target: no interpreter, no virtualenv, no library versions to match.
  • The platform before the language. Steps one to five are the DevOps path's own (Linux, Git, Docker, Kubernetes and SQL), the systems your automation will drive. Go takes the sixth step, where the path page teaches Python.
  • Hands-on and graded. You type into a real Linux shell and commit to a real Git repository, practice Docker and kubectl in a simulated environment with no daemon and no cloud bill, and every Go lesson ends in a challenge checked by tests. Bugsy, the AI tutor, reads your code and your last error and nudges you toward the fix, and each course ends with a free certificate.

Frequently asked questions about Go for DevOps

Is Go good for DevOps?

Yes, for the tools that outgrow a script: CLIs you hand to other teams, Prometheus exporters, Kubernetes controllers, admission webhooks and small services around a platform. Go gives you one binary to distribute, cross-compilation, fast startup, a standard library that covers HTTP, JSON and running other programs (os/exec), and official Go client libraries for Kubernetes and Prometheus. For a quick glue script, bash or Python is usually faster to write.

Go or Python for DevOps automation?

Both, eventually. Python is the more common DevOps scripting language: quicker for one-off scripts, the language Ansible is written in, with an SDK for every major cloud, and the one the DevOps path page teaches in its last step. Go wins when a script becomes a tool: something other people install, that must run on machines without a Python environment, or that needs to be fast and concurrent. The first five steps are identical either way.

Do DevOps engineers need to know Go?

Not to get started, and many never write it: bash and Python cover most day-to-day automation. Go matters more in platform engineering and SRE work, where you write Kubernetes operators, Terraform providers or internal CLIs, and whenever you need to read the source of the tools you run. It is a strong second language for a DevOps engineer, and the one this page teaches.

What can I build with Go after this DevOps path?

Good first projects: a CLI built with a library such as Cobra, a Prometheus exporter using client_golang, a small service that reads the Kubernetes API through client-go, or a tool that turns a runbook of shell commands into one binary with os/exec. The Go course gives you the language (structs, interfaces, goroutines and channels); those libraries, and operator frameworks such as Kubebuilder, are the next layer and not covered here yet.

How long does it take to learn DevOps with Go?

At an hour a day, Linux, Git and Docker take about a month together, Kubernetes about a week, SQL two to three weeks and the Go course about seven: three to four months in all. The terminal work pays off from the first week, long before the Go step.

Is this Go DevOps roadmap free?

Yes. Every course on it is free: the Linux terminal, the Git, Docker and Kubernetes exercises, the SQL and Go lessons, Bugsy's hints and a certificate for each course you finish. It all runs in the browser: nothing to install, no cluster to rent and no cloud bill.

Other learning paths

The same courses, arranged for a different role. Progress carries over: a course finished on one path counts on every path that includes it.

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