Elastra has incorporated energy efficiency intelligence into its Cloud Server solution, allowing customers to define which efficiency metrics are important to them and then rely on the software to route each application to the optimal resources with their internal cloud environments. Elastra’s efforts are just the latest in a growing trend toward saving data center costs by using the least possible amount of power to accomplish any given task. Especially in the internal cloud space, power management capabilities are becoming a must-have, with vendors from Appistry to VMware offering tools to migrate workloads dynamically and power down unneeded servers.
What sets apart Elastra’s approach is its focus on application needs as opposed to just server utilization rates. After Elastra’s ECML and EDML markup languages determine application and resource properties, respectively, the Plan Composer function lets customers set their own policies based on application needs and specific power metrics (such as wattage, PUE, number of cores, etc.). Therefore, if an application requires 4GB of RAM and two cores for optimal performance, and if the customer is concerned with straight wattage, Elastra’s product will automatically route it to the lowest-power 4GB, dual-core virtual machine available.
While server virtualization and efficient hardware reduce the total cost of maintaining the status quo, this new breed of software solutions shaves off additional dollars by using such resources as efficiently as possible — all without the need for human intervention. The main drawback for customers, however, is that they’re tethered to cutting-edge internal cloud platforms, which many people are still afraid of — just ask the now-defunct Cassatt. As interest in internal clouds and Green IT continue to rise, these solutions will become more than good stories to tell and we can see real-world examples of how much money they actually can save.
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