Golang is easy to deploy

In recent years, with the rapid development of cloud computing, more and more enterprises have begun to choose to deploy their applications on the cloud to achieve the advantages of high availability, elastic scaling, and seamless expansion. Among many programming languages, Go language is increasingly favored by developers because of its high performance, strong concurrency, and simple and easy-to-read code. So, with the Go language boom today, how to quickly deploy a Go application in the cloud? Next, I will talk about some of my practices and thoughts.

Choose a suitable cloud service provider

First of all, we must choose a cloud service provider that suits us. Generally speaking, the mainstream cloud service providers currently on the market include Alibaba Cloud, Tencent Cloud, Huawei Cloud, etc. These cloud service providers provide many cloud products, such as cloud server ECS, container services, databases, load balancing, CDN, etc. We can choose according to our needs.

In addition, in order to quickly and easily deploy Go applications, we can choose cloud service providers that provide PaaS platforms or container services. For example, ACM of Alibaba Cloud, TKE container service of Tencent Cloud, CCE container engine of Huawei Cloud, etc.

Writing Dockerfile

In the process of deploying Go applications, we usually choose Docker container technology. Docker container technology can package our applications and operating environments together to achieve rapid deployment, migration, and scaling. Therefore, when developing Go applications, we should use Dockerfile to describe our application.

The following is a simple Dockerfile example:

# 基础镜像
FROM golang:1.16.2-alpine3.13 AS builder
# 设置工作目录
WORKDIR /app
# 将应用代码复制到容器中
COPY . .
# 编译
RUN go build -o /app/main

# 运行环境
FROM alpine:3.13
# 设置工作目录
WORKDIR /app
# 复制二进制文件
COPY --from=builder /app/main .
# 设置环境变量
ENV PORT 8888
# 暴露端口
EXPOSE 8888
# 启动应用
CMD ["./main"]

The above is a Go application Dockerfile based on alpine. Among them, we use golang:1.16.2-alpine3.13 as the base image of the first stage, in which we can use go build to compile. We then used alpine:3.13 as the base image for the second stage and copied the compiled binaries into it. Finally, we set the environment variables and exposed ports, and started the application. In the Dockerfile, we can make appropriate modifications according to our needs.

Deploy the Docker image

After writing the Dockerfile, we need to build it and push it to the image warehouse. Here, we can choose a public cloud image warehouse (for example: Alibaba Cloud's Container Registry, Tencent Cloud's image library, Huawei Cloud's image service, etc.) or a private image warehouse. Here, we take Alibaba Cloud's Container Registry as an example:

1. First, create your own mirror warehouse on the Alibaba Cloud console.
2. Then, execute the login command on the local terminal:

$ docker login --username=<your_username> registry.cn-hangzhou.aliyuncs.com

Where, 05c91d808bf6c7782f3777ff44434dbd is your Alibaba Cloud account username.

3. Next, enter the directory where the Dockerfile is located and execute the build command:

$ docker build -t registry.cn-hangzhou.aliyuncs.com/<your_namespace>/<your_repo>:<tag> .

Among them, b392a228e3c198cb5aa5646b74de8d17 is the namespace where your mirror warehouse is located,f5a1f37b3b31bb3b6950f6bc23ab299e is the name of your image warehouse, 8bf259f5a6144433b921fb8b7de94970 is the image version number you built. In the above command, we use "." to indicate using the current directory as the build context.

4. Finally, execute the push command:

$ docker push registry.cn-hangzhou.aliyuncs.com/<your_namespace>/<your_repo>:<tag>

At this point, our image has been successfully pushed to Alibaba Cloud's Container Registry.

Using Cloud Container Service

After we successfully push the Docker image, we can choose to use Cloud Container Service for rapid deployment.

Taking Alibaba Cloud's Kubernetes as an example, we need to first create a Kubernetes cluster on the console, then configure our image warehouse name, version number and other information into the Deployment configuration file, and finally execute kubectl apply - f command to deploy.

In Tencent Cloud, TKE container service provides a very rich console operation interface, allowing us to deploy and manage containers more conveniently.

Similarly, other cloud service providers also provide a wealth of container services for us to use.

Conclusion

To sum up, we can see that it is very convenient to use Go language to deploy applications, and in today's cloud era, using Docker containers and cloud container services can improve deployment efficiency. and ease of operation. In practice, we should patiently explore and learn, and constantly optimize our deployment plans to adapt to changing business needs.

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