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HomeBackend DevelopmentGolangPerfect deployment of golang in production environment

In recent years, with the development of the Internet industry, various open source technologies are emerging, which can meet the needs of different scenarios. As an efficient, safe and simple programming language, golang is also rapidly rising and becoming the language of choice for many Internet companies. This article will introduce the perfect deployment of golang in a production environment and help developers make better use of golang's features.

1. Development environment preparation

Before preparing to deploy golang, you first need to develop it locally. It is recommended to use golang's official development environment "GoLand" for development. GoLand integrates a rich golang tool chain, making it easier to write golang code. In addition, necessary tools such as git need to be installed.

2. Static compilation of golang code

golang code has the characteristic of running directly on different platforms without compilation. This is because the golang compiler can compile golang code into specific machine code rather than directly compiled into an executable file. But in actual deployment, we often need to compile the golang code into a static binary file and deploy it to the specified server.

We can use golang's official compiler "go build" for static compilation. First, execute the following command in the project root directory:

GOOS=linux GOARCH=amd64 go build -o main ./

The above command indicates that the compilation target is the Linux platform, using amd64 architecture, and the executable file generated by compilation is named "main". After compilation is completed, we will get an executable file named "main".

3. Code version control and automatic deployment

In order to ensure code stability and version controllability in the production environment, we need to use code version control tools. Commonly used version control tools include git and svn. We can choose any one of them to use.

After choosing git as the version control tool, we can use code hosting platforms such as gitlab or github for code management. When the code goes online, the code can be deployed to the production environment through automated deployment.

Commonly used automated deployment tools include jenkins, travis, goCD, etc. We take Jenkins as an example for demonstration.

First, install jenkins on the server and configure the golang environment variables.

Then, create a free style project in jenkins. Configure the git address and branch of the application in "Source Code Management". Configure the golang compilation command in "Build" and specify the path to the binary file generated by compilation.

Finally, configure automatic deployment commands in "Post-build operations", such as uploading the compiled binary file to the production server through scp.

4. Performance Optimization

In the production deployment of golang, performance is an important optimization point. The following are some commonly used performance optimization methods:

1. Enable golang's automatic memory recycling mechanism
In golang, automatic memory recycling is a powerful automation feature of golang. Specific settings can be completed by using go's pprof tool.

2. Use golang’s concurrency features
Golang’s built-in goroutine and channel mechanisms allow developers to easily write efficient concurrent programs, which is also an important feature of golang. You can use high-core hosts such as cloud servers in combination to make full use of golang's concurrency capabilities.

3. Use golang’s performance analysis tools
golang provides a variety of performance analysis tools, such as pprof, trace, etc. These tools can help developers locate performance bottlenecks to better optimize program performance.

5. Conclusion

This article mainly introduces the perfect deployment of golang in the production environment. From development environment preparation to code version control and automatic deployment, to performance optimization, this article provides comprehensive guidance for golang production deployment. I believe these practical skills can help golang developers better utilize the features of golang and improve the performance and stability of the program.

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