Why We Skipped Docker: Building Deployable Go Binaries in Minutes

Instead of Docker, we leveraged Go 1.16’s //embed feature to create a single binary for our web service, detailing the rapid build, test, and deployment steps, and arguing that Docker’s overhead isn’t necessary for small teams focused on fast delivery.

MaGe Linux Operations
MaGe Linux Operations
MaGe Linux Operations
Why We Skipped Docker: Building Deployable Go Binaries in Minutes

In many past projects we used Docker with generally good results, but sometimes we encountered mysterious issues on Red Hat systems that were not necessarily Docker’s fault.

For this project we decided Docker was unnecessary. We wrote the web service and static HTML in Go, using Go 1.16’s //embed directive, producing a single deployable binary.

As a resource‑constrained startup we chose Go because it lets us build fast web services and scale easily; each server can handle thousands of requests per second, though our current load is under a thousand. We note that Node/Deno with V8 could achieve similar performance, and for low traffic the language choice matters little.

Go’s packaging is far simpler than Node, Java, or C#: the result is just one binary.

Build, test, and deployment commands are straightforward:

go build
go test
scp app user@host:
ssh user@host "nohup ./app"

In practice we added a SystemD unit to start the service on boot and a dedicated build server running a ten‑line shell script that performs git clone, go build, go test, go lint, and go vet. We may later add a UI such as Rundeck to control deployments.

The total time spent building and deploying was minimal, and we question how much effort is really required to learn, install, and troubleshoot Docker compared with using Go’s built‑in capabilities.

We invite readers to share their thoughts on Docker.

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MaGe Linux Operations
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MaGe Linux Operations

Founded in 2009, MaGe Education is a top Chinese high‑end IT training brand. Its graduates earn 12K+ RMB salaries, and the school has trained tens of thousands of students. It offers high‑pay courses in Linux cloud operations, Python full‑stack, automation, data analysis, AI, and Go high‑concurrency architecture. Thanks to quality courses and a solid reputation, it has talent partnerships with numerous internet firms.

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