Docker method of deploying PHP applications: 1. Create a basic PHP web project site1 and package it into the image; 2. Use the PHP built-in web server in the image to provide external services; 3. Put it on the host machine Mount the project directory to the working directory of the container; 4. Run php in fpm mode.
The operating environment of this tutorial: Windows 7 system, Docker version 20.10.11, Dell G3 computer.
How to deploy php application with docker?
Use docker to package and deploy php applications
When the project development is gradually completed, it is necessary to prepare for large-scale cluster deployment, repeated environment installation, configuration and Although the source code uploading work is not difficult, it is tedious, boring and inefficient. If the project release version is packaged into the corresponding docker image, we only need to pull the image, create the container and start the container on each application server ( With three lines of super simple commands, Walle and Jenkins can easily and fully automate it).
Let’s figure out how to package the php project into a docker image.
Simple php docker image
Create a basic php web project site1, package it into the image, and use the php built-in web server in the image to provide external services.
# 创建项目 mkdir /src/site1 && cd /src/site1 # 写一个简单的 php 页面 vim index.php <?php echo "hello docker"; :wq # 编写项目的 Dockerfile vim Dockerfile # 拉取 php-cli 镜像 FROM php:7.2-cli # copy 项目源文件到镜像 COPY . /apps/site1 # 切换 pwd WORKDIR /apps/site1 # 执行启动命令 使用 php 内置 web 服务器 CMD ["php", "-S 0.0.0.0:80", "-t ./"] :wq # 使用 Dockerfile 创建镜像 site1 版本号为 1.0.0 docker build -t php-site1:1.0.0 . # 查看镜像 docker images # 创建容器 docker run -it -d \ -p 8081:80 \ --name php_site1_1.0.0 \ php-site1:1.0.0 # 查看活动的容器 docker ps # 访问 php 应用 curl -X GET http://localhost:8081/index.php
Extended installation
php The docker image uses debian as the system by default, which is relatively large. We can use the more compact alpine image instead. Next we install the swoole/redis extension (other commonly used extensions, the official php image has been installed).
vim server.php
<?php $httpServer = new Swoole\Http\Server("0.0.0.0", 80); $httpServer->set([ 'worker_num' => 1, ]); $httpServer->on("start", function ($server) { echo "Swoole http server is started at http://0.0.0.0:80" . PHP_EOL; }); $httpServer->on("request", function ($request, $response) { // 模拟业务耗时 体验下 swoole 的协程并发 Swoole\Coroutine::sleep(2); $response->header("Content-Type", "text/plain"); $response->end("Hello World"); }); $httpServer->start(); vim Dockerfile FROM php:7.2-cli-alpine # 更新下 apk 的源 RUN sed -i 's/dl-cdn.alpinelinux.org/mirrors.aliyun.com/g' /etc/apk/repositories RUN apk update && apk upgrade RUN apk add m4 make autoconf gcc g++ linux-headers pcre RUN pecl install swoole \ && pecl install redis RUN docker-php-ext-enable swoole \ && docker-php-ext-enable redis COPY . /apps/site2 WORKDIR /apps/site2 ENTRYPOINT ["php", "server.php"]
Packaging image
docker build -t php-site2:1.0.0 . docker images
Creating a container
# 创建容器 docker run -it -d \ -p 8082:80 --name php_site2_1.0.0 php-site2:1.0.0 # 查看容器 docker ps # 并发压测 swoole 的协程模式可实现EventLoop异步非阻塞IO ab -c 100 -n 1000 http://localhost:8081/
If you want to map the project on the host machine, you can
docker run -it -d \ -p 80:80 -v $PWD:/apps/site2 --name php_site2_1.0.0 php-site2:1.0.0
In this way, the project directory on the host is mounted to the working directory of the container, which is equivalent to using the container as a runtime environment.
php:7.2-apache php:{PHP_VERSION}-apache,以 Apache + MOD_PHP 模式运行容器。 docker run -it -d \ --name php-mod-alpine \ -p 8083:80 \ -v $PWD:/var/www/html php:7.2-apache
vim index.php
<?php echo "hello docker"; :wq curl -X GET http://localhost:8083/index.php php:7.2-fpm-apline php:{PHP_VERSION}-fpm php:{PHP_VERSION}-fpm-apline
For php running in fpm mode, you can choose apline OS
docker run -it -d \ --name php-fpm-alpine \ -p 9000:9000 \ php:7.2-fpm-apline
Recommended learning: "PHP Video tutorial》
The above is the detailed content of How to deploy php application with docker. For more information, please follow other related articles on the PHP Chinese website!

Docker is a containerization tool, and Kubernetes is a container orchestration tool. 1. Docker packages applications and their dependencies into containers that can run in any Docker-enabled environment. 2. Kubernetes manages these containers, implementing automated deployment, scaling and management, and making applications run efficiently.

The purpose of Docker is to simplify application deployment and ensure that applications run consistently in different environments through containerization technology. 1) Docker solves the environmental differences problem by packaging applications and dependencies into containers. 2) Create images using Dockerfile to ensure that the application runs consistently anywhere. 3) Docker's working principle is based on images and containers, and uses the namespace and control groups of the Linux kernel to achieve isolation and resource management. 4) The basic usage includes pulling and running images from DockerHub, and the advanced usage involves managing multi-container applications using DockerCompose. 5) Common errors such as image building failure and container failure to start, you can debug through logs and network configuration. 6) Performance optimization construction

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


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

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

SublimeText3 English version
Recommended: Win version, supports code prompts!

SublimeText3 Chinese version
Chinese version, very easy to use

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

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