Former Arbor Networks’ executive Craig Labovitz has officially taken the wrapper of his new venture DeepField,  a cloud-to-big data startup that claims its technology can help large enterprises map cloud services.

After 18 months in partial stealth mode, the new firm looks like a logical extension of CEO Labovitz’s speciality during his Arbor days; understanding the deeper structures, traffic, dependencies and complexity of the Internet’s sharp end, private and public cloud services.

Last month, Labovitz offered a good example of this way of understanding the cloud, reporting that according to his firm’s analytics Google now accounted for a quarter of all Internet traffic in one shape or form.

At Arbor, Labovitz’s party piece was his insight into the rise of Google, not in terms of its public activity but where it counts, deeper in the Internet’s usually hidden traffic flows.

“If Google were an ISP, as of this month it would rank as the second largest carrier on the planet,” he said in 2010.

As for DeepField, Labovitz believes his firm’s Cloud Genome technology, available as either SaaS or as a virtual appliance, will appeal to cloud providers, content delivery networks (CDNs) and large enterprises.

“Legacy hardware solutions are on the wrong side of Moore’s Law. Ten years ago the problem was getting data from servers and network infrastructure. Today, the challenge is how to leverage massive streams of network and cloud performance data to make intelligent business decisions,” said Labovitz.

“DeepField has built a platform that can deal with the Three V’s of big data: volume, variety and velocity,” said the startup’s chief data scientist, Naim Falandino.

“The differentiator is that in addition to storing, analyzing and accessing this data, our platform also applies a deep level of domain knowledge to it so that users can immediately derive value for their business needs.”

DeepField’s launch products are still in beta testing at its early customers, the firm said.