For UPS, grid computing is not about how to get more horsepower for demanding workloads; it’s about consolidating, streamlining and using technology to get an edge on the competition.

“Using technology to differentiate ourselves from our competitors has always been fundamental to our success, and it’s one of the reasons we’re moving forward with [grid] technology,” Brian Cucci, manager of the Advanced Technology Group at UPS said during a Webcast last week with DataSynapse, the company that supplies the Atlanta-based company its grid software.

The software, called Grid Server, is now in production use at UPS and lets the company distribute a billing invoice application that once ran on an expensive mainframe across a group of cheaper x86 systems running Linux.

“Most of the organizations we spoke to adopted grid in a little different way. They pursued it to solve that killer business problem such as not having enough horsepower with their existing infrastructure,” Cucci said.

For UPS, grid computing was just another piece in its evolving IT puzzle, which is aimed at reducing costs and improving efficiency. The company’s Technology Directions Subcommittee, which is made up of representatives from across the organization and reports to the CIO, is charged with keeping track of hot technologies, determining which can best bring business value.

Grid computing gained priority and moved to the top of the group’s radar screen last year, because it fit in nicely with several other technology projects that either were underway at UPS or were in the planning stages, Cucci said. Those projects include virtualization and consolidation efforts, as well as an initiative to move to a computing-on-demand approach to IT that focuses on the use of low-priced commodity hardware.

“We’re moving away from buying specialized servers to host one application on,” Cucci said. “Over the past decade, we were in that mode, and we’re trying to get to a more commodity, capacity-on-demand approach.”

DataSynapse’s GridServer helps move UPS in that direction. The software pools commodity hardware into a grid, or virtual pool, in which compute resources are allocated on-demand and on-the-fly according to application needs. The software is policy based, meaning customers can set priorities so that applications get the horsepower they need when they need it in order to meet service level agreements.

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