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Linux: Team Macarie's platform is hosted on a Parasec-managed high performance Linux server co-located in a secure data centre.
Apache: Apache 2 web server with integrated text compression and php4 modules.
MySQL: Normalised, maintainable SQL database schema created within an optimised MySQL configuration.
PHP: PHP 4 in combination with a PHP optimiser (a dynamic content caching module) has been utilised to create a highly maintainable
and efficient Object Orientated framework for the platform back end.
A powerful yet easy to use project collaboration platform allows Team Macarie to collaborate with their customers. The platform itself consists of a client and in-house administrator interface which was designed to facilitate the sharing and versioning of large project files and related notes. A customisable file tagging system enables uploaded files to be assigned to both a specific versioning tag (e.g. alpha, beta) and a specified group of clients. Clients or partners in this group may then review the designated project file, attach notes and upload new or modified versions.
The main benefit of the platform is the features of the more traditional ad-hoc methods of collaboration (e.g. email, fax, ftp) are combined into a unified system, allowing for efficient, platform independent project collaboration.
The Content Management System (CMS) was designed from the ground-up to enable Team Macarie to easily maintain their media orientated site in a flexible way. Media, consisting primarily of Flash movies, can be added to the site via a file upload interface and assigned to a maintainable tree like structure of categories.
After a media project has been added to the site via the CMS, visitors are then able to view the project and it's associated text via an embedded media stage.
A key requirement for this project was for site visitors to be able to easily search the content of the site yielding an ordered list of closest matching results. Given the high ratio of media over textual content of the site, media added via the CMS is also assigned a set of keywords so that it may be later retrieved or categorised by natural language.