Home  >  Article  >  Operation and Maintenance  >  How about docker in practice?

How about docker in practice?

PHPz
PHPzOriginal
2023-05-13 15:52:09543browse

In recent years, with the rapid development of Internet technology and changes in demand, traditional application deployment methods can no longer meet the needs of modern software development. The traditional application deployment method requires manual installation of software and configuration of dependencies, which is prone to problems such as environmental dependencies, inconsistent configurations, and incompatible application versions. In response to these problems, many developers have devoted themselves to the research and practice of containerization technology. As one of the containerization technologies, Docker has received widespread attention and application due to its simplicity, ease of use, rapid construction, and efficient management.

This article mainly introduces the application practice of Docker, including the basic concepts of Docker, Docker installation and deployment, Docker container management, Docker network management, Docker data management, etc., to help beginners better understand and applying Docker technology.

1. Basic concepts of Docker

Docker is a lightweight containerization technology. Based on the technical characteristics of operating system virtualization and container technology, applications can run as if they were running on a local host. Same, running on different operating systems and environments. Docker provides a virtual container that contains all the dependencies and running environment of the application. This container can be started on any host running Docker. Likewise, Docker containers can be created, destroyed, and modified at any time without affecting the host system or other containers.

In Docker, it mainly includes the following concepts:

  1. Docker image: Docker image is a read-only template that contains all the code, dependencies and configuration of the application files and other elements. Docker images can be used to create Docker containers. Docker images can be obtained from Docker Hub or customized through Dockerfile.
  2. Docker container: A Docker container is a running instance created by a Docker image that can run applications in the container. A Docker image can create multiple Docker containers, and each container is independent of each other. A Docker container contains an operating system, applications, and other dependencies.
  3. Docker warehouse: Docker warehouse is a place used to store Docker images. Docker Hub is a public repository officially provided by Docker, which can be used to obtain and share Docker images.

2. Docker installation and deployment

Docker installation is very simple, the specific operations are as follows:

  1. On the official website (https://www. docker.com/products/docker-desktop) Download the installation package and select the corresponding version according to the operating system.
  2. Execute the installation package to install.
  3. After the installation is complete, enter the command docker version in the terminal to view the Docker version information.

If you want to deploy Docker on a cloud server, it is recommended to use tools such as Docker Machine or Docker Compose.

3. Docker container management

It is very simple to create, start, stop, delete and other operations of Docker containers. The specific operations are as follows:

  1. Create a container: use docker create command to create a Docker container.
  2. Start the container: Use the docker start command to start the specified container.
  3. Stop the container: Use the docker stop command to stop the specified container.
  4. Delete container: Use the docker rm command to delete the specified container.

In addition, Docker also provides the Docker Compose tool, which can manage multiple Docker containers by writing Docker configuration files. This greatly simplifies the management and deployment of Docker containers.

4. Docker network management

Docker containers can communicate with each other through the network. By default, Docker creates its own network namespace for each container and assigns it an IP address. Docker provides a variety of network modes that can be selected according to your needs.

Docker network related operations are as follows:

  1. View Docker network: Use the docker network ls command to list all networks in Docker.
  2. Create a network: Use the docker network create command to create a Docker network.
  3. Delete the network: Use the docker network rm command to delete the Docker network.
  4. Docker Data Management

In Docker, data can be stored in a data volume inside the container or in a directory on the host. Using data volumes enables data persistence to avoid data loss or corruption.

The related operations of Docker data management are as follows:

  1. Create a data volume: Use the docker volume create command to create a Docker data volume.
  2. Mount the data volume: When creating the container, use the -v parameter to mount the data volume.
  3. Delete data volume: Use the docker volume rm command to delete the Docker data volume.

Summary:

As an emerging technology, Docker technology makes software development and deployment simpler, more flexible and more efficient. Through the introduction of this article, we have learned about the basic concepts of Docker, Docker installation and deployment, Docker container management, Docker network management, and Docker data management related knowledge. In actual application, we can choose different Docker features to apply according to needs, thereby improving the performance and reliability of the application.

The above is the detailed content of How about docker in practice?. For more information, please follow other related articles on the PHP Chinese website!

Statement:
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Previous article:docker container errorNext article:docker container error