Docker is an open platform for building, shipping and running distributed applications. It gives programmers, development teams and operations engineers the common toolbox they need to take advantage of the distributed and networked nature of modern applications.
This tutorial describes Docker support in PhpStorm.
First of all, you'll need to install Docker and related tools so that you can take advantage of the Docker integration in PhpStorm. Please refer to the Docker documentation to get more information about the installation process:
You will also need to install the plugin in PhpStorm. Open Settings (Preferences) | Plugins, and click the Install JetBrains plugin... button:
Search for Docker and install the Docker Integration plugin by using the context menu.
Restart the IDE to complete the installation of the plugin.
At this point you have Docker and Docker plugin for PhpStorm installed, so we can start with integration configuration.
You need to provide the configuration name (Docker in our case), API URL (
Please note that you might need to provide a socket path in the API URL field on Linux machines instead of the URL (usually it's unix:///var/run/docker.sock):
Provide all the necessary parameters on the Deployment tab, in our case we've provided Run/Debug Configuration Name (Start Docker in our case), selected the server (Docker), selected the Deployment method to be Dockerfile, Image tag (mysite), and Container name (Docker_Xdebug):
Provide all the necessary parameters and configurations on the Container tab. At this point we are interested in exposing 80 port of the container to be available from our local machine, so we should configure a port binding for that (Container port: 80, Protocol: tcp, Host IP: empty, Host port: 8080):
In addition, we can configure links, volume bindings, environment variables, and much more.
At this step it's important to note that that there are many ways to create/configure Docker containers and VM images, and we'd recommend to always refer to the Docker documentation on the official web site.
For the purposes of this tutorial we're using Dockerfile and Apache configuration file, we've also created an index.php file with phpinfo(); to be deployed to the Docker container. We're making some significant configuration in those Dockerfile and Apache configuration file, so you're recommended to have a look at them. You can download entire project used in this demo or config files (apache-config.conf, Dockerfile).
As all the tools are installed, and the integration is configured, the recently created Docker start Run/Debug Configuration can be launched:
The Application Servers tool window will be opened updating you on the provisioning status and current state of all your Docker containers: (view gif showing a full process)
As soon as the process is completed and our Docker_Xdebug container status turned green, we can check how it works in the browser. You should be able to open it by URL similar to http://192.168.99.100:8080/ (192.168.99.100 is an IP address of the default Docker machine, we've looked into where to get this parameter before). If you can't see the index.php (containing phpinfo(); in our case), please check that you have specified the right IP address and port bindings.
In our example, everything is running fine on the right port:
From the Application Servers tool window, it’s easy to inspect containers and view running processes. You can also search through logs, start and stop containers, and perform basic container management like creating and deleting containers. Each deployment in Docker is assigned a unique container ID – these are initially temporary containers, although they can be committed and saved for further distribution. On the Docker Hub registry, there are many such images available for you to try.
Images in Docker are read-only – once committed, any changes to a container’s state will become part of a new image. When you have a stable build on one instance of Docker (on your development machine, staging server, or a cloud), reproducing the exact same build is as simple as (1) committing the Docker container, (2) pushing it to a registry (public or private), then (3) pulling the same image to another instance of Docker, running – wherever.
Assuming that you run the Docker container now (and everything worked on the previous steps), so you should now able to open your PHP web application in the browser by http://host:port (http://192.168.99.100:8080/ in our case). The major point in getting Xdebug (or Zend Debugger) working with PhpStorm & Docker integration is the correct configuration of the Docker container.
In our case we're using a Dockerfile (we've already shown this config earlier and provided links to download it) to configure the container, including Xdebug-specific parameters, such as:
#Set up debugger RUN echo "zend_extension=/usr/lib/php5/20131226/xdebug.so" >> /etc/php5/apache2/php.ini RUN echo "xdebug.remote_enable=1" >> /etc/php5/apache2/php.ini #Please provide your host (local machine IP) instead of 192.168.2.117 RUN echo "xdebug.remote_host=192.168.2.117" >> /etc/php5/apache2/php.ini
In the example above we're modifying /etc/php5/apache2/php.ini providing a path to Xdebug extension, and some other Xdebug parameters (remote_enable and remote_host). Please note that xdebug.remote_host value should be replaced with your local machine IP address (where PhpStorm is running, 192.168.2.117 in our case).
Don't forget to re-run Docker Start Run/Debug Configuration so that all the changes are applied.
As soon as all the configs are in place, the debugging process can be followed by this tutorial from step 2 (start Listening for PHP Debug Connections, set a breakpoint in the source code, start a debug session in the browser, reload the current page, debug).