Technology | How It Works

FieldView works by seamlessly combining three key aspects of data center operations into a single tool for informed decision-making. Click here to see our video overview.

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1. ACCESS

Even if a data center’s equipment is generating useful information, from different facilities and systems, what good is all that information if you can’t get to it? Many times, information is stranded in disparate systems, or different locations, where it’s difficult to reach. FieldView can help you get to all the information your systems are generating. And because FieldView is vendor-neutral, it can communicate with all your different systems. FieldView will give you access to up-to-the-minute, accurate, actionable information you can trust.

2. CONVERGENCE

Once FieldView has united all of your data, it must be normalized. Is it fragmented? Is it scattered all over on spreadsheets, in different facilities, and not very helpful? FieldView can help you gather all the information in one place where it can be useful to you to make informed decisions about your data center’s future. Only FieldView can deliver a single pane view of all your critical systems.

3. INTELLIGENCE

Making sense of all the data you’ve gathered can be a daunting task without the right tools. FieldView’s built-in metrics and analytics make it easy to see where you are in regard to space, energy and cooling. FieldView allows the user to track and trend energy consumption, efficiency, space, PUE, power and cooling capacity, and the difference between total and available load. Not only can the user easily see the results of this constant polling, but reports can be generated for anybody in your organization who needs them. Anybody from the board room to the control room, in a form they can understand and put to good use. FieldView even allows the user to build custom reports. Trend, analyze and report on all the key information in your data center.

And this information doesn’t just travel in one direction. With what a user learns from capturing, organizing and analyzing this data, he/she can make informed decisions and changes to the data center infrastructure to improve energy efficiency, space usage, and uptime.