Moonwalk to enable Aurecon to achieve 70% reduction in storage cost

Moonwalk storage will enable engineering company Aurecon to achieve a 70 percent reduction in their storage total cost of ownership over 5 years.

The engineering company will also benefit from an initial return on investment in 18 months across all storage tiers.

Aurecon opted for Moonwalk as it currently generates large amount of unstructured data ranging from Microsoft Office and project management style documentation through to engineering design files and large 2D/3D modeling data sets.

Though Aurecon has two main data centers and a geographically distributed office network, the effective management of data becomes a very expensive challenge, particularly with respect to both production storage and backup media.

Greg Walker, manager, Design & Infrastructure, said by using Moonwalk initially to analyze the unstructured data, the company was able to plot the exponential growth rate of data over the next five years.

“Secondly we could see that more than 50 percent of our current data was more than two years old – and suitable for immediate archive using Moonwalk,” Walker added.

The cost of moving the data that was older than two years to the cheaper archive storage tier would only cost 30 percent of what it would be to leave that data on the production storage and cater for the ongoing backup of that data. This equates to a 70 percent reduction in storage costs.

There are significant advantages attached to the unique architecture of Moonwalk.

“Moonwalk has a very light weight footprint. We were able to complete the design, the implementation, and transition as a live operational service within a few weeks,” Greg said.

Moonwalk claims that its enterprise data management software delivers metadata-level precision for all information on network storage, servers and clients.

In addition, it migrates, copies and moves data according to user-defined rules and policies based on criteria such as age, size, file type, file name, file creator and many more granular classification rules.

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