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IT professionals are acutely aware just how closely tied their data center infrastructure performance is to their business performance in our digitally-driven world. Lists of various monitoring tools can be found here and here. The tests and metrics used to monitor the productivity of IT infrastructure are generally grouped into three categories; quantity measures, quality measures, and responsiveness measures. The return on investment is less than six months and can help corporations … CCF (Cooling Capacity Factor) – Created by Upsite Technologies, CCF is a metric used to benchmark rated cooling capacity vs. utilization. We assume that the data center is loaded to 30% of capacity, which is typical.

Consequently, monitoring tools continually measure the data center’s: The objective is to uncover any impediments to the efficient AND effective utilization of various physical infrastructure resources in the data center. A data center operating at full capacity is at risk of facing losses due to unforeseen events. For example, if the power load reaches 50% on a device (or more often 40% when de-rating), then the … Learn how your comment data is processed. PUE is determined by dividing the amount of power entering a data center by the power used to run the computer infrastructure within it.
Once problem processes and applications are identified, it’s time to dig into these workloads to determine exactly how they are negatively impacting performance so fixes can be made. Of the many functions involved in running a data center, none is arguably as important to a facility's longevity as capacity planning. These tools provide alerts to application and hardware problems, often before they are noticed by end users. ... Big data utilization of data center storage capacity worldwide 2015-2021. Therefore, a byte, or eight bits, is used as the fundamental unit of measurement for data. Therefore, it is very helpful to use application and system monitoring tools to stay ahead of potential issues. Accordingly, it is vital for IT to know what hardware and software metrics to monitor, and to understand how these metrics relate to each other. Power usage e ffectiveness has long been used as a benchmark for data center ef ficiency, but it is seldom looked at as a tool to unlock stranded information technology capacity and to create a new source of revenue.

…a data center with low operating costs and efficient power usage is still considered a failure if it cannot protect its data or meet its applications’ quantity, quality and responsiveness targets…. At the same time, many businesses experience spurts in demand that they suddenly pass onto the data center. Idling servers can be symptomatic of network saturations, poor load balancing, and thread locks or deadlocks.