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:
- 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.
- 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.
- 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:
- 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.
- Execute the installation package to install.
- 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:
- Create a container: use docker create command to create a Docker container.
- Start the container: Use the docker start command to start the specified container.
- Stop the container: Use the docker stop command to stop the specified container.
- 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:
- View Docker network: Use the docker network ls command to list all networks in Docker.
- Create a network: Use the docker network create command to create a Docker network.
- Delete the network: Use the docker network rm command to delete the Docker network.
- 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:
- Create a data volume: Use the docker volume create command to create a Docker data volume.
- Mount the data volume: When creating the container, use the -v parameter to mount the data volume.
- 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!

The methods of installing and using Docker on Ubuntu, CentOS, and Debian are different. 1) Ubuntu: Use the apt package manager, the command is sudoapt-getupdate&&sudoapt-getinstalldocker.io. 2) CentOS: Use the yum package manager and you need to add the Docker repository. The command is sudoyumininstall-yyum-utils&&sudoyum-config-manager--add-repohttps://download.docker.com/lin

Using Docker on Linux can improve development efficiency and simplify application deployment. 1) Pull Ubuntu image: dockerpullubuntu. 2) Run Ubuntu container: dockerrun-itubuntu/bin/bash. 3) Create Dockerfile containing nginx: FROMubuntu;RUNapt-getupdate&&apt-getinstall-ynginx;EXPOSE80. 4) Build the image: dockerbuild-tmy-nginx. 5) Run container: dockerrun-d-p8080:80

Docker simplifies application deployment and management on Linux. 1) Docker is a containerized platform that packages applications and their dependencies into lightweight and portable containers. 2) On Linux, Docker uses cgroups and namespaces to implement container isolation and resource management. 3) Basic usages include pulling images and running containers. Advanced usages such as DockerCompose can define multi-container applications. 4) Debug commonly used dockerlogs and dockerexec commands. 5) Performance optimization can reduce the image size through multi-stage construction, and keeping the Dockerfile simple is the best practice.

Docker is a Linux container technology-based tool used to package, distribute and run applications to improve application portability and scalability. 1) Dockerbuild and dockerrun commands can be used to build and run Docker containers. 2) DockerCompose is used to define and run multi-container Docker applications to simplify microservice management. 3) Using multi-stage construction can optimize the image size and improve the application startup speed. 4) Viewing container logs is an effective way to debug container problems.

Docker container startup steps: Pull the container image: Run "docker pull [mirror name]". Create a container: Use "docker create [options] [mirror name] [commands and parameters]". Start the container: Execute "docker start [Container name or ID]". Check container status: Verify that the container is running with "docker ps".

The methods to view Docker logs include: using the docker logs command, for example: docker logs CONTAINER_NAME Use the docker exec command to run /bin/sh and view the log file, for example: docker exec -it CONTAINER_NAME /bin/sh ; cat /var/log/CONTAINER_NAME.log Use the docker-compose logs command of Docker Compose, for example: docker-compose -f docker-com

You can query the Docker container name by following the steps: List all containers (docker ps). Filter the container list (using the grep command). Gets the container name (located in the "NAMES" column).

Create a container in Docker: 1. Pull the image: docker pull [mirror name] 2. Create a container: docker run [Options] [mirror name] [Command] 3. Start the container: docker start [Container name]


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

Zend Studio 13.0.1
Powerful PHP integrated development environment

SublimeText3 Mac version
God-level code editing software (SublimeText3)

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool