CloudPhysics Helps IT Run VMware Like Google with Big Data Analytics

CloudPhysics released its intelligent IT operations management service for VMware workloads, after a highly successful beta with more than 500 enterprises worldwide. Leveraging the power of Big Data, the transformative new cloudbased service uncovers hidden operational hazards before problems emerge and identifies radical efficiency improvements in storage, compute and networking, giving IT more power than ever before to understand, troubleshoot and optimize their virtualized systems.

“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,” said John Blumenthal, CloudPhysics CEO and Co-Founder. “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. This ‘collective intelligence,’ combined with

CloudPhysics’ patent-pending data center simulation and unique resource management techniques, empowers enterprise IT to drive Google-like operations excellence using actionable analytics from a large, relevant, continually refreshed dataset.” Virtualized environments are larger, denser and more complex than ever before. More integrations with other systems in the IT stack now exist, involving subtle interdependencies. Consequently management of these environments has also become very complex, and remedial actions often have unintended negative consequences. As a result, admins often resort to shortcuts or simply ignore tedious management capabilities. For example, as virtualization packs applications closer together, it sharply increases the number of operational hazards hidden in the interdependencies among network, storage, memory, cpu, availability and other systems. IT teams have zero visibility into this underlying and constantly changing complexity. They only discover hidden problems when they cross safety margins, triggering urgent, dangerous and suboptimal responses. The software-defined data center, built upon virtualization, only adds more abstractions which further complicate operations management.

Managing VMware High Availability (HA) environments exemplifies this. Adding a single server or changing the resource allocations of an existing virtual machine can dramatically reduce the safe consolidation capacity of the entire cluster. The inability to fully and safely utilize has hardware serious cost implications, but there are no simple solutions today. CloudPhysics data shows that it is not uncommon for organizations turn off their HA safety systems because of their complexity. IT teams suffer daily from such operational hazards, which bleed the efficiency of their systems, increasing both cost and risk.

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