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Docker containers in Go language developed locally

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2023-06-01 19:31:411094browse

Go language is one of the most popular languages ​​​​for Internet development today. In daily development, it is often necessary to use Docker containers to build local development environments for services. This article will briefly describe the application of Docker containers in Go language development.

  1. Introduction to Docker containers

Docker is a virtualization technology that can help developers quickly set up a development environment, build images, deploy applications, etc. locally, thereby avoiding Inconsistencies in development, testing, deployment, etc. caused by different environments.

Docker container is one of the core concepts of Docker, that is, an isolated process started based on a Docker image that can run an application. Each container contains a complete file system, application process, network stack, etc., which is isolated from the host, but can share the kernel with the host.

  1. Docker container applications in Go language development

In Go language development, we usually use the following two Docker container applications:

(1) Build a local development environment

When developing Go language applications, we need to use a development environment to build and test the program. The development environment usually includes a Go language compiler, code editor, etc. Using Docker containers can avoid environmental differences caused by different operating systems, different versions and other factors.

For example, when developing a Go language application locally, we can use the following command to create a container containing Go1.16:

docker run -it --rm -v "$PWD":/go/src/myapp -w /go/src/myapp golang:1.16 bash

Explain:

  • -it means creating an interactive container, that is, starting a shell.
  • --rm means that the container will be automatically deleted when it exits.
  • -v "$PWD":/go/src/myapp means mapping the local current working directory to the container's /go/src/myapp directory.
  • -w /go/src/myapp means setting the working directory of the container to the /go/src/myapp directory.
  • golang:1.16 means using the golang:1.16 image to start the container.
  • bash means using bash shell.

As you can see, using Docker containers to start the Go language development environment is very simple and easy to deploy. We only need to download an image and start the container through the command.

(2) Deploying Go language applications

When deploying Go language applications, we need to consider environmental differences, missing dependent libraries, runtime errors and other issues. Using Docker containers can make our applications more stable and reliable when deployed.

For example, when deploying a Go language application, we can use the following command to create an alpine-based Docker container, then compile the application into the container, and run the application within the container:

docker run --rm -v "$PWD":/app -w /app golang:1.16-alpine go build -v

docker run --rm -v "$PWD":/app -w /app -p 8080:8080 golang:1.16-alpine ./myapp

Explain:

  • docker run --rm -v "$PWD":/app -w /app golang:1.16-alpine go build -v Indicates creating an alpine-based Docker container, mapping the current directory to the container's /app directory, and then compiling the myapp application into the container.
  • docker run --rm -v "$PWD":/app -w /app -p 8080:8080 golang:1.16-alpine ./myapp means creating an alpine-based Docker Container, map the current directory to the container's /app directory, then run the myapp application, and map the container's 8080 port to the host's 8080 port.
  1. Summary

Through the above introduction, we can see that in Go language development, Docker containers can help us faster, simpler and more reliable Build, test, and deploy our applications. Although Docker containers have some limitations, such as the application cannot directly access the host, we can solve these problems through technologies such as mount. I believe that using Docker containers will become the mainstream of Go language development in the future.

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