UPDATED 09:20 EDT / AUGUST 14 2013

CloudPhysics Accelerates Data-Driven Cloud Management with New Funding

CloudPhysics announced Tuesday morning that it has raised $10 million in Series B funding from Kleiner Perkins Caufield & Byers and existing investors. The startup will use the new capital to boost marketing and accelerate the development of its flagship offering, a data-driven operations management tool for virtualized environments that hit general availability this week.

CloudPhysics’ platform is based on a continuously updated pool of anonymous configuration and performance samples from its rapidly growing user base. This data is transformed into actionable insights that empower customers to gain a better understanding of their environments.

“Google uses analysis of anonymized traffic data from everyone’s GPS location streams to help users avoid accidents and bottlenecks and to make better driving decisions. CloudPhysics brings that same kind of power to IT so enterprises can make better operational decisions,” explained John Blumenthal, the co-founder and chief executive officer of CloudPhysics. “Our servers receive a daily stream of 80+ billion samples of configuration, performance, failure and event data from our global user base with a total of 20+ trillion data points to date.”

CloudPhysics leverages this constant stream of machine data to deliver modeling and simulation capabilities that spare IT departments the hassle of performing proof-of-concept analysis. The company’s solution also gives admins access to a live database of field issues, software bugs and best practices aggregated from vendors and the CloudPhysics community.

Other features of the platform include built-in storage, compute and service analytics; and interactive queries that don’t require any scripting or knowledge of schemas. These queries are used to build Cards, highly focused apps designed to solve specific IT operations issues. Users can create their own Cards or purchase them via the newly unveiled CloudPhysics Card Store.


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