In Drupal 6, module developers often use Nodes as an all-purpose method for having objects that can be saved into the database. This hack avoids having to write a lot of boilerplate CRUD for all custom data used in your modules. Nodes in D6 are a powerful tool for this use case when combined with the flexibility of CCK's custom fields, and the simplified integration with contrib modules. However, using Nodes for every piece of specialized content means a lot of overhead; contributed modules often modify Nodes and added hooks that operated on them. This is a major performance concern, not to mention a bad architecture for unrelated data.

In our previous post, we wrote about how we use custom Redmine plugins to keep specifications up-to-date with our Redmine issues. Since we update the specifications with clients throughout a project, we need a way to keep developers in the loop. Automatically updating an issue page with the changes saves us unnecessary meetings and confusion. The most useful plugin we've been using was one that we wrote ourselves: redmine_google_docs. This plugin allows embedding of Google Spreadsheets and Google Documents in Redmine wiki pages and issues. This helps us spend more time focused on the project and less time on synchronizing documentation.

In part 1 of this tutorial, I covered how to make your own custom field and widget. Here I'll cover how to validate that input and format it using a custom formatter.

At Evolving Web, Redmine is at the core of our project management methodology. Redmine’s extensibility makes it the open source tool of choice for scoping, tracking and maintaining projects. Today, we're highlighting some of the integration that's possible between Redmine, Google Docs and Git. This piece is complementary to our post on Customizing Redmine in Agile Project Management.

The power of Drupal stems from our ability to customize it. One common requirement is the need to define complex fields with custom widgets and formatters that are unavailable in core or contributed modules. This allows us to collect more sophisticated data from users, and define exactly how that data is presented. Drupal's Field API provides the hooks needed to make just about any field we want.

If you're building a large website in Drupal, you're likely to have a long list of views that you're using. Often, views require some custom configuration to match a given design or to provide the user with additional information. Sometimes you want to add dynamic text above or below the view, such as the number of results, or want to create a dynamic title beyond what views lets you configure through the user interface.

If you haven't noticed already, we are getting pretty excited about cloud computing at Evolving Web. Our latest deployment included 5 Rackspace Cloud servers being controlled by Puppet and provided the client with the ability to scale up and down easily depending on traffic. Scaling up involves spinning up a new server instance and configuring it for its role. But what is the best way to configure it? By hand? By scripts? By images? Well technically any of those methods will work, but I want to tell you about one you may not have heard of.

Lately, we have been involved in a project where our clients needed a site capable of serving a large number of anonymous users and a reasonable number of concurrently logged in users. In order to reach these goals, we looked to the cloud. I'll give a quick overview of our configuration using nginx, boost, apc, cacherouter, memcached, and glusterfs. This has allowed us to scale up considerably.

Recently, I've been working on the search interface for McGill University's course catalog. The University wants to allow students to browse courses at friendly URLs like:

Creating a search interface for a website with a lot of content requires providing a variety of filters. Sometimes those filters can take on a life of their own, providing hundreds of options for users to filter by. While building widgets for our Drupal/Solr projects, we looked at a couple non-Drupal examples of search interfaces for content-heavy websites.