With the popularity of microservices, Docker has become a very popular containerization technology, especially for developers who need to deploy and maintain multiple applications. This article will introduce how to use Docker to containerize Go Web projects and implement rapid deployment and operation in different environments.
Introduction
Go is an efficient, modern, fast-growing programming language ideal for building web applications. And Docker is a lightweight containerization technology that enables your applications to run anywhere with isolation and portability.
In order for a Go Web project to run in a Docker container, we need to complete the following steps:
- Write a Dockerfile to generate a Docker image.
- Build the Docker image.
- Run Docker images as containers.
Next, we will highlight these steps.
Write Dockerfile
A Dockerfile is a text file containing instructions and parameters for automatically building a Docker image. When writing your Dockerfile, take into account the environment and dependencies your Go web project will need.
Here is an example of a basic Dockerfile (assuming your Go Web project is called myapp):
FROM golang:1.17-alpine AS builder
RUN apk update && apk add --no-cache git ca-certificates tzdata && update-ca-certificates
RUN mkdir /build
WORKDIR /build
COPY . .
RUN go mod download
RUN go build -o myapp
FROM alpine:3.14.2
COPY --from=builder /build/myapp /usr/local/bin/myapp
CMD ["myapp"]
In the example above, we first used golang:1.17-alpine
as the base image. Next, install some necessary dependent packages and set the time zone, and then use COPY
the command to copy the code in our current directory to the container's /build
directory. Run go mod download
to download the project dependencies and go build
build our Go Web project binaries with myapp
.
Finally, we used alpine:3.14.2
as the runtime image and myapp
copied the built binaries to /usr/local/bin/
the directory. Finally, use CMD
the directive to specify the command for the container to start.
Build a Docker image
After the Dockerfile is written, you can use docker build
the command to build the Docker image. Execute the following command:
docker build -t myapp-image .
Among them, -t
the parameter specifies the name of the image, myapp-image
which is the name of the image we created. .
Indicates the path where the Dockerfile is located. If your Dockerfile is in another path, please use the corresponding path to overwrite it .
.
After the build is successful, you can use docker images
the command to list all mirrors. You can see the image we just built:
REPOSITORY TAG IMAGE ID CREATED SIZE
myapp-image latest e3e61d272f9d 20 seconds ago 13.6MB
Run Docker images as containers
Now that we have successfully generated a Docker image, we can docker run
launch it as a container using the command. Execute the following command:
docker run -p 8080:8080 myapp-image
The -p
parameter is to map port 8080 inside the container to port 8080 of the host. You can use your own port, just modify -p
the parameter. After the container starts, you can visit in your browser http://localhost:8080
to see if your application is running.
Deploy the image to the cloud
When your application is ready to run in production, you can use a cloud service provider's container platform (such as AWS ECS, Google Cloud Container Engine, Azure Container Service, etc.) to deploy your Docker image.
-
Push the Docker image to Docker Hub or other mirror warehouses.
# 首先需要在 Docker Hub 上注册一个账号,并创建一个名为 myapp 的 repository docker login docker tag myapp-image <your-docker-username>/myapp:latest docker push <your-docker-username>/myapp:latest
-
Create a service or a task on your cloud provider's container platform and push your Docker image to deploy on it.
# AWS ECS 示例 # 首先需要在 AWS ECS 中创建一个 cluster 和 task definition,然后在该 task definition 中设置镜像名称为:your-docker-username/myapp:latest。 # 接着创建一个 service,将该 task definition 分配给该 service,即可完成部署。
Summarize
In this article, we covered how to use Docker images to deploy Go web projects. Firstly, the Dockerfile is written, and the required environment and dependencies are stipulated in it, then the docker build
Docker image is built using the command, and finally docker run
it is started as a container using the command. Additionally, it discusses how to deploy Docker images to the cloud for use in production.