Tutorial

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. With the new Docker integration plugin for PhpStorm, you can add Docker support to existing projects, view logs, manage Docker containers, and debug PHP web applications from right inside PhpStorm. In this blog post we overview some of the most important features and configurations; for more details please refer to the full tuto

To make the upcoming weekend even more enjoyable, we are glad to announce availability of Debugging with PhpStorm extended tutorials series which now covers all possible PHP debugging scenarios. In addition to our most-read zero-configuration web application debugging with Xdebug and PhpStorm, we've prepared a similar tutorial for Zend Debugger users. To start with debugging in PhpStorm, tutorials on Xdebug and Zend Debugger installation are also a good use. In Using the PhpStorm Debugger tutorial, we are exploring how to use the PhpStorm Debugger to step through the source code while it

Imagine working on a file and running a command line tool in the background for every change made. "Why would I want that?" I hear you say. Wouldn't it be great if the IDE could minify our JavaScript and CSS files on the fly? Or compile CoffeeScript into JavaScript? That's exactly what File Watchers allow us to do! (more…)

That application we are building is way too slow. What gives? Did someone on our team commit code while partying? Are we making too many database calls? The only way to learn about the performance of our application code is to profile it. Something that's fairly easy to do with PhpStorm! Whether it's a full web application, some library code or just a unit test, profiling allows us to gather program execution statistics. Information like the names of functions executed, the number of times a function has been executed, how long a function took to execute and such can give us a hint on