Cloud Operations Manager brings intelligence to virtualization and cloud computing in large, complex, and dynamic environments.
Most data center managers are facing the increasing complexity of virtualized and cloud-based environments. Successfully managing cloud operations and virtualized environments takes intelligence--not so much the type of intelligence as defined by IQs, but more along the lines of intelligence defined as the ability to gather information of value.
Let's face it: Data centers today have become complex beasts not only to manage but also to understand. They have almost taken on the quality of a living, breathing entity that requires constant tending. That complexity is often needed to build innovative solutions that can deliver advanced services to end users. However, complexity comes at a high price in the form of management overhead and reduced agility.
Simply put, complexity is likely to not disappear any time in the near future, while agility will be needed more than ever to service the growing need for elastic services that bind unique and competitive solutions.
VMTurbo has heard the cries of the harried data center manager, and has launched what the company thinks is the best way to bring manageable agility back to physical, virtual, and cloud data centers. VMTurbo's new product is called VMTurbo Cloud Operations Manager, and it is designed to help organizations achieve the agility promised by virtualization and cloud computing in large, complex, and dynamic environments.
In a press release, Shmuel Kliger, president and CEO of VMTurbo, said, "IT management is struggling to meet the challenges of managing multiple virtual center environments with yesterday's tools, which invariably are siloed by technology and function, stuck in the weeds of collecting too much detailed data, swamped by a myriad of point tools with little intelligence to automate decision making."
In short, VMTurbo Cloud Operations Manager tightly integrates several management technologies that are used to orchestrate multiple virtual centers and multiple hypervisors, and to provide multitenancy, customer-scoped views. What's more, the product offers user-defined policy controls that control workloads, autocorrect problems, execute RST/Perl scripts, and provide automated scale-out and scale-back operations. Policies can be assigned to customer-defined groups (such as data centers, cluster, customers, storage tiers, and folders), and be controlled by triggers, schedules, or other automated processes.
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