


Deploy Symfony with Docker: Get started developing quickly
Oct 20, 2023 pm 12:19 PMDeploy Symfony with Docker: Start developing quickly
Introduction:
With the rapid development of cloud computing and containerization technology, Docker has become a developer deployment and one of the go-to tools for managing applications. Symfony, as a popular PHP framework, can also be deployed through Docker, which greatly simplifies the development and deployment process. This article will introduce how to use Docker to deploy Symfony applications and provide specific code examples.
Step 1: Install Docker and Docker Compose
First, we need to install Docker and Docker Compose on the local machine. The installation steps of Docker can be found on the official website and should be installed accordingly according to the operating system. Docker Compose can be installed through the pip command, for example, run pip install docker-compose
.
Step 2: Create a Symfony application
After installing Docker and Docker Compose, we can create a new Symfony application. Use the following command to create a new Symfony project:
docker run --rm -v $(pwd):/app composer create-project symfony/website-skeleton my-project
This command will create a Symfony application named my-project
in the current directory.
Step 3: Write a Docker Compose file
Next, we need to write a Docker Compose file to define our application’s services and dependencies. Create a file named docker-compose.yml
in the root directory of the project and add the following content:
version: '3' services: app: build: context: . dockerfile: Dockerfile ports: - 8000:8000 volumes: - .:/app working_dir: /app depends_on: - mysql mysql: image: mysql:5.7 environment: - MYSQL_ROOT_PASSWORD=root - MYSQL_DATABASE=my_database
This Docker Compose file defines two services: one is the Symfony application program and the other is a MySQL database. The Symfony service uses a custom Dockerfile to build the image and maps port 8000 to port 8000 of the host. The MySQL service uses the official MySQL 5.7 image, and sets the root password and database name.
Step 4: Write a Dockerfile
In order to build the Docker image of the Symfony application, we need to write a Dockerfile. Create a file named Dockerfile
in the root directory of the project and add the following content:
FROM php:7.4-apache RUN apt-get update && apt-get install -y git unzip libonig-dev libxml2-dev RUN docker-php-ext-install pdo_mysql mbstring xml COPY . /var/www/html WORKDIR /var/www/html RUN curl -sS https://getcomposer.org/installer | php -- --install-dir=/usr/local/bin --filename=composer RUN composer install --no-interaction --optimize-autoloader RUN chown -R www-data:www-data /var/www/html
This Dockerfile uses the official PHP 7.4 image as the base image and installs some necessary dependence. Then, copy the Symfony application's code into the specified directory of the container and use Composer to install the application's dependencies. Finally, we set the Apache server's document root to the Symfony application's directory and modify the permissions of all files to be writable by Apache.
Step 5: Build and run the container
After everything is ready, we can use Docker Compose to build and run the container. Run the following command in the root directory of the project:
docker-compose up -d
This command will automatically build the Docker image of the Symfony application and create and run two containers: one is the Symfony application container and the other is the MySQL database container. The application is now accessible via localhost:8000
.
Conclusion:
By using Docker to deploy Symfony applications, we can quickly start the development and deployment process and avoid dependencies on the local environment. Using Docker Compose to define services and dependencies can make the entire development and deployment process more streamlined and reliable. We hope that the code examples provided in this article can help readers better understand and use Docker to deploy Symfony applications.
The above is the detailed content of Deploy Symfony with Docker: Get started developing quickly. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

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

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

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

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

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

Hot Topics

1. The Origin of .NETCore When talking about .NETCore, we must not mention its predecessor .NET. Java was in the limelight at that time, and Microsoft also favored Java. The Java virtual machine on the Windows platform was developed by Microsoft based on JVM standards. It is said to be the best performance Java virtual machine at that time. However, Microsoft has its own little abacus, trying to bundle Java with the Windows platform and add some Windows-specific features. Sun's dissatisfaction with this led to a breakdown of the relationship between the two parties, and Microsoft then launched .NET. .NET has borrowed many features of Java since its inception and gradually surpassed Java in language features and form development. Java in version 1.6

To develop a complete Python Web application, follow these steps: 1. Choose the appropriate framework, such as Django or Flask. 2. Integrate databases and use ORMs such as SQLAlchemy. 3. Design the front-end and use Vue or React. 4. Perform the test, use pytest or unittest. 5. Deploy applications, use Docker and platforms such as Heroku or AWS. Through these steps, powerful and efficient web applications can be built.

There are three ways to view the process information inside the Docker container: 1. Use the dockertop command to list all processes in the container and display PID, user, command and other information; 2. Use dockerexec to enter the container, and then use the ps or top command to view detailed process information; 3. Use the dockerstats command to display the usage of container resources in real time, and combine dockertop to fully understand the performance of the container.

Deploying a PyTorch application on Ubuntu can be done by following the steps: 1. Install Python and pip First, make sure that Python and pip are already installed on your system. You can install them using the following command: sudoaptupdatesudoaptinstallpython3python3-pip2. Create a virtual environment (optional) To isolate your project environment, it is recommended to create a virtual environment: python3-mvenvmyenvsourcemyenv/bin/activatet

Deploying and tuning Jenkins on Debian is a process involving multiple steps, including installation, configuration, plug-in management, and performance optimization. Here is a detailed guide to help you achieve efficient Jenkins deployment. Installing Jenkins First, make sure your system has a Java environment installed. Jenkins requires a Java runtime environment (JRE) to run properly. sudoaptupdatesudoaptininstallopenjdk-11-jdk Verify that Java installation is successful: java-version Next, add J

An efficient way to batch stop a Docker container includes using basic commands and tools. 1. Use the dockerstop$(dockerps-q) command and adjust the timeout time, such as dockerstop-t30$(dockerps-q). 2. Use dockerps filtering options, such as dockerstop$(dockerps-q--filter"label=app=web"). 3. Use the DockerCompose command docker-composedown. 4. Write scripts to stop containers in order, such as stopping db, app and web containers.

There are two ways to compare the differences in different Docker image versions: 1. Use the dockerdiff command to view changes in the container file system; 2. Use the dockerhistory command to view the hierarchy difference in the image building. These methods help to understand and optimize image versioning.

Through Docker containerization technology, PHP developers can use PhpStorm to improve development efficiency and environmental consistency. The specific steps include: 1. Create a Dockerfile to define the PHP environment; 2. Configure the Docker connection in PhpStorm; 3. Create a DockerCompose file to define the service; 4. Configure the remote PHP interpreter. The advantages are strong environmental consistency, and the disadvantages include long startup time and complex debugging.
