How to deploy the project to docker

With the development of cloud computing and containerization technology, Docker has become the tool of choice for application deployment. Deploying projects into Docker containers can effectively improve the efficiency of system deployment, updates, and daily maintenance, reduce resource consumption and costs, and also facilitate application migration and expansion.

This article will introduce the steps and precautions on how to deploy the project to Docker.

1. Installing Docker

First, you need to install Docker on the server. Docker officially provides installation tutorials and documentation for each platform. After the installation is complete, you can check whether Docker is successfully installed and running by executing the docker version command.

2. Writing a Dockerfile

A Dockerfile is a text file that contains the instructions and operations required to build a Docker image. Dockerfile is the core of the Docker deployment project. It can be understood as a "template" that contains the environment and code required for the project. Docker will build the container based on this template.

The following is a basic Dockerfile example:

# 基于官方 Python Docker 镜像
FROM python:3.7
# 设置工作目录
WORKDIR /app
# 复制当前目录到容器 /app 目录
COPY . /app
# 安装依赖库
RUN pip install --no-cache-dir -r requirements.txt
# 暴露服务端口
EXPOSE 8000
# 启动服务
CMD ["python", "manage.py", "runserver", "0.0.0.0:8000"]

This Dockerfile is based on the official Python Docker image, specifying the working directory, copying the code to the container, installing dependent libraries, exposing ports and starting Services and other operations. Directives and actions can be modified, added, or removed based on project needs.

3. Build the Docker image

After editing the Dockerfile file, you can use the docker build command to build the image.

As shown below:

docker build -t your-image-name:latest .

Among them, the -t parameter specifies the image name and version number, your-image-name is the one you gave The name of the image, latest is the version number, . represents the current path, which is the directory where the Dockerfile is located.

After the build is completed, you can view all images in the current system through the docker images command. If you can see the image you just built, it means the build is successful.

4. Run the container

After building the image, you can use the docker run command to run the container.

is as follows:

docker run -d -p 8000:8000 your-image-name:latest

Among them, the -d parameter indicates running the container in the background, and the -p parameter indicates mapping the container 8000 port to the host 8000 port, your-image-name is the name of the previously built image.

After running successfully, you can view the currently running container through the docker ps command. If you can see the container you just started, the deployment is successful.

5. Access the deployed project

At this point, the project has been successfully deployed into the Docker container. You can view the deployed project by accessing http://localhost:8000 through your browser.

It should be noted that if you deploy the project on the server and need to access the deployed project from the local machine, you need to open the 8000 port of the server. If you use a cloud server, you need to open the port in the cloud service provider's console.

Summary:

In this article, we introduced the basic steps and considerations for deploying projects in Docker. To summarize, to deploy a project to Docker, you need to install Docker first, write a Dockerfile, build a Docker image, run the container, and finally access the deployed project through a browser.

Compared with traditional project deployment methods, using Docker to deploy projects has higher flexibility and portability, and can effectively improve the efficiency of project deployment, updates and maintenance. It is worth trying by developers.

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