iFlexweb Uses the Spark Architecture to Ensure Better Interaction Between Flex Developer & Designer
07/01/2010

iFlexweb is using Spark architecture to provide the Flex developer and designer a common platform to create Flex applications, which was not possible earlier.

Online PR News – 01-July-2010 – – iFlexweb is using Spark architecture to provide the Flex developer and designer a common platform to create Flex applications. Earlier it was difficult for the Flex developer and designer to work together on a Flex application, because they were accustomed to different set of tools. However the latest version Flex 4 provides a common architecture that separates component logic and view into different objects. These objects are customized to work well with developer and designer tools respectively.

The Spark architecture allows Flex developer and designer at iFlexweb, more freedom because the visual elements of a Flex component can be designed in free flowing manner, independent of logic powering of the component. The Spark skinning model allows the Flex developer and designer build powerful Flex application, quickly

Flex 4 enables Flex developer and designer, through its Spark architecture, to seamlessly customize the visuals of Flex application, effortlessly. Spark allows the developer to add more creativity to the application through its robust skinning model. It also provides host of features like flexible layouts, new graphics library and new effects engine. Additionally Spark components can interact and live co-exist with MX (Flex 3 and prior) components.

Flex 4 through Spark architecture provides a very flexible layout system. This is critical in success of the Flex application because the layout is central to the visual of any component. The Spark layout is built atop the foundation laid by the MX layout system. MX concepts like width and height, constraint-based layout, and percentage-based sizing still exist within Flex 4 layouts. Flex 4 also provides an enhanced animation engine that improvises effects, which can be well used by the Spark components.