How to deploy containerized applications on Linux
Introduction:
With the rapid development of cloud computing and container technology, containerized applications have become the first choice for many development teams. Containerized applications are lightweight, quick to deploy, and easy to manage, allowing developers to better utilize system resources and improve application portability and scalability. In this article, we will introduce how to deploy containerized applications on Linux.
1. Install Docker
Before we begin, we need to install Docker first. Docker is an open source container engine that helps us create and manage containers. The following are the steps to install Docker on an Ubuntu system:
Update the operating system’s package list:
sudo apt-get update
Install Docker’s dependency packages:
sudo apt-get install apt-transport-https ca-certificates curl software-properties-common
Add Docker’s official GPG key:
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
Add Docker’s software source:
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
Update the software package list and install Docker:
sudo apt-get update sudo apt-get install docker-ce
Verify whether Docker is successfully installed:
sudo docker run hello-world
If the run is successful, a prompt message will be output.
2. Writing Dockerfile
Dockerfile is a plain text file that contains a series of instructions for automatically building a Docker image. The following is a simple Dockerfile example:
# 基于Ubuntu镜像 FROM ubuntu:latest # 安装应用的依赖包 RUN apt-get update && apt-get install -y python3 python3-pip # 复制应用代码到镜像中 COPY app /app # 设置工作目录 WORKDIR /app # 安装应用的Python依赖包 RUN pip3 install -r requirements.txt # 暴露应用的端口 EXPOSE 5000 # 启动应用 CMD [ "python3", "app.py" ]
In the above example, we specify the required operating system base image, install dependency packages, copy application code, set the working directory, and install application dependency packages through Dockerfile. Steps such as exposing the application's port and starting the application.
3. Build the Docker image
After writing the Dockerfile, we need to use the Docker command to build the Docker image. Execute the following command on the command line:
sudo docker build -t myapp:latest .
Among them, the-t
parameter is used to specify the name and version number of the image, and.
represents the current directory where the Dockerfile is located. The build process may take some time, if all goes well we will get a Docker image namedmyapp:latest
.
4. Run the Docker container
After the Docker image is built, we can use the Docker command to run the Docker container. Execute the following command in the command line:
sudo docker run -d -p 5000:5000 myapp:latest
Among them, the-d
parameter indicates running the container in the background, and the-p
parameter is used to specify the communication between the container and the host. Port Mapping. The above command will start a container namedmyapp
on the host's port 5000.
5. Manage Docker containers
When deploying containerized applications, we usually need to perform some management operations on the containers. Here are some commonly used Docker commands:
View running containers:
sudo docker ps
Stop a container:
sudo docker stop
Start container:
sudo docker start
Delete container:
sudo docker rm
View container log:
sudo docker logs
6. Summary
This article introduces how to deploy containerized applications on Linux. First, we installed Docker and learned its basic concepts and installation steps. Then, we wrote a simple Dockerfile to build the Docker image. Next, we built the Docker image using the Docker command and started a container by running the command. Finally, we introduce some commonly used Docker commands for container management and maintenance.
Containerized applications have become one of the standard methods for modern application development and deployment. With the help of container technology, developers can develop, test and release applications more flexibly. I hope this article will help you understand and master the deployment of containerized applications on Linux.
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