Vapor IO today announced Open MistOS, the open source operating system that powers the company’s hyper-converged data center technology. Building upon its recent release of its innovative data center platform powered by the Open Data Center Runtime Environment (DCRE), Vapor’s release of Open MistOS renders available the operating system that controls the company’s data driven, centralized data center technology that allows companies to manage a data center as if it were one unit. By open sourcing the operating system underlying its “hyper modular data center solution,” companies are free to use Vapor IO’s Open MistOS operating system in conjunction with their own hardware solutions to develop and deploy data-driven hardware stacks that automate their internal management in response to data points such as temperature, CPU capacity, bandwidth and power consumption. Vapor’s decision to open source its operating system encourages other vendors to make their own bare metal provisioning technology line up with Open MistOS and thereby contribute toward the creation of a unified management fabric for intelligently operating datacenters. The open sourcing of Open MistOS promises to create a single, unified pane of glass for hyperscale datacenter management that disrupts the economics of data center creation and management both with respect to CAPEX and OPEX. As told to Cloud Computing Today by Vapor CEO Cole Crawford, MistOS underscores the birth of the data driven data center in contrast to the often used contemporary label, software defined data center. In the case of the hyperconverged data center, the radically centralized location of data center hardware enables a degree of data-driven management of the unit as whole because the hardware, as opposed to the software, constitutes the principal differentiator about the data center. As such, Vapor’s hyper collapsed data center technology illustrates and amplifies the growing trend in contemporary IT that prioritizes data and event driven analytics as key differentiators of technology, particularly insofar as the increasing proliferation of data compels the definition of events that feed KPIs which in turn guide the iterative management of the behavior of devices, appliances and hardware.
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