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Explore how to deploy a Go application into production (steps)

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2023-04-11 09:17:231037browse

In modern software development, fast and reliable deployment procedures are crucial. There are many areas involved in deploying software, one of which is choosing the technology stack that best suits your specific situation. In this article, we will explore the process and flow when deploying using the Go programming language.

Go is a programming language developed by Google. It is a statically typed programming language designed to improve the safety, readability and maintainability of code. In addition, Go is also known for its concurrency and efficiency. These two features make it very suitable for writing high-performance network services, large-scale analysis tasks, and high-speed back-end systems. With Go, you can easily design, build, and deploy applications that are highly scalable and reliable.

Below, we will explain how to deploy a Go application to a production environment in a few simple steps.

Step One: Design and Build the Application

Before you deploy your application, you need to build it. Typically, you split your application into components and use build tools to compile them into the final binary.

In Go, you can use a professional compiler (such as the Go compiler) to compile your code into an executable file. Unlike other languages, Go's compiler will also compile all dependencies of the application into static link libraries at the same time. This means you don’t need to install any additional libraries or dependencies when deploying your application.

Step Two: Test the Application

Before you deploy your application to a production environment, you need to test that the application works as expected. This includes ensuring that the application handles a variety of different inputs and scenarios correctly and runs without crashes or abnormal terminations.

Go comes with a powerful testing framework that you can use for unit testing, functional testing, and end-to-end testing. Using a testing framework also automates the testing process, ensuring the quality of your code and the stability of your application.

Step Three: Choose the Appropriate Deployment Tool

Before choosing how to deploy your application to a production environment, you need to consider many different factors, including:

  • Which cloud or server to deploy to
  • The size and complexity of the application
  • What automated deployment tools and processes do you have available

For different needs, you You can choose from different deployment tools, such as Kubernetes, Docker, AWS Lambda, etc. In this article, we will use Docker to demonstrate how to deploy a Go application into a production environment.

Step 4: Deploy applications using Docker

Docker is an open source container technology that allows multiple applications to be run on the same hardware. Using Docker, we can easily build, package and deploy applications to various clouds and servers.

Before deploying your Go application into a Docker container, you need to define the build rules for the container. Common build rules for Go are as follows:

FROM golang:1.14-alpine

RUN mkdir /app
ADD . /app/
WORKDIR /app

RUN go build -o main .

CMD ["/app/main"]

In the above build rules, we have used the official image of Go and have copied the application into the container and built it. Finally, we define the application's startup command using the CMD directive.

After you finish building the container, you can deploy it to the cloud or server using common Docker deployment tools such as Kubernetes.

Summary

Deployment using the Go programming language is a very easy thing, especially when you choose a container technology such as Docker. This article introduces the process and flow of deploying Go applications, including designing and building the application, testing the application, selecting appropriate deployment tools, and using Docker to deploy the application. Using these steps, you can easily deploy your Go application into a production environment to improve your application's reliability and performance.

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