CloudPhysics offers collective intelligence as a service

There are many suppliers of performance management software that rely on gathering huge amounts of a company's data and then using Big Data analysis to find and prevent problems. CloudPhysics goes beyond this to use data from all of its customers to find and prevent problems.

CloudPhysics CEO, John Blumenthal, discussed how monitoring and performance management has been moving from watching individual components, such as systems, operating systems, application frameworks, applications, data management tools, storage management tools, the network, security and the like, to a more holistic view of how all of these things interact. This means, Blumenthal would point out, having the ability to rapidly gather huge amounts of data from many systems, software platforms and tools; analyze that data; and then predict, based upon the observed patterns, potential problems so that they can be resolve before they happen.

What CloudPhysics has to say about its service

CloudPhysics was founded to solve the difficult issues you face in your datacenters right now. We think datacenters of today are woefully inefficient, both in terms of machine and human cost.

Our mission is to leverage the world's IT data knowledge about virtualized systems, and use that to transform computing. That's why our servers receive a daily stream of 80+ billion samples of configuration, performance, failure and event data from our global user base with 20+ trillion data points total, and still growing.

By monitoring, analyzing and learning from big data, CloudPhysics' Collective Intelligence gives you an unprecedented level of insight into how to structure your virtualized IT. We empower your organization to drive operations excellence using actionable analytics from a Google-size data set.

To leverage our platform and tap the wisdom of the community, we're creating an ecosystem of IT apps we call 'cards.' Created by CloudPhysics as well as the IT community, our cards not only provide us with valuable data on how to better manage datacenters, but also will lead to 'new thinking' that will advance systems management for everyone.

Snapshot analysis

I know of over 15 technology suppliers, such as BMC, CA, HP, IBM, OpTier, Prelert, Zenoss and others, that are offering tools that the supplier claims to use Big Data techniques and predictive analytics to head off customer outages. Why, I asked, is the approach offered by CloudPhysics any different?

Blumenthal said that a great deal can be learned by looking for operational patterns found in a single company's IT infrastructure. More can be learned, however, when the tool looks across the patterns found in a large number of companies' infrastructure. CloudPhysics calls this "collective intelligence."

Another key difference, Blumenthal added, is that CloudPhysics uses patent-pending "simulation and resource management techniques." He believes that the solution offered by CloudPhysics can uncover hidden complexities in customers' infrastructure and can help a customer understand specific technologies and configurations behave in their own IT infrastructure, based on CloudPhysics' "collected' intelligence from thousands of data centers."

If your company's IT infrastructure is complex, CloudPhysics' solution is definitely worth considering.


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