Supporting process automation in data centers

Over the past weeks, most organizations have been moving to video conferencing, people are working from home or following mobile work concepts, and the information exchange on communication platforms has grown exponentially. This has caused a dramatic and rapid increase in data traffic. And it is why Data Centers are being recognized as important critical infrastructures, also beyond the IT sector.

Data Centers are significantly increasing their capacities these days, which has also a definite influence on their internal business processes. Digitizing these internal processes is going to play an even more important part than ever before. In this context, you can identify three relevant factors: The best utilization of limited resources anyway, the precise capacity planning as well as the automation of previously quite time-consuming workflows. To be able to adequately meet these objectives in every-day work, a future oriented Data Center Management platform such as DAMS C is indispensable.

DAMS C is exactly the tool providing the right answers to the challenges of long-term capacity- and resource planning in Data Centers. You can assign to any asset which is going to be positioned in DAMS C a defined utilization period. Thus, you can place assets of which the productive use will start only months later. Should the purchasing period be even far ahead in the future, these assets can be dummy devices to be used as KPI providers only. The closer you get to the actual productive date, the more detailed information you can assign to those devices by attributing parameters such as manufacturer or model specifications. This  also applies to availability of space or energy demand with evolution of respective costs included. With just a few clicks, you will be able to turn this data into charts and dashboards suitable for the Executive Board.

As far as the automation of time- and resource consuming processes is concerned, this challenge is intrinsically linked to the availability of limited resources anyway. In this field, DAMS C delivers useful support for the processes concerned as well. The basis for this precious process support lies in the intelligent algorithms implemented in the C-platform, in the easily configurable rule sets and in the seamless integration of existing sensors, too. This delivers substantiated added value to customers in case you exceed threshold values or any other limits, as respective malfunction reports will be generated automatically. Thus, you can identify hot-spots much faster and subsequently avoid them. It is obvious which monetary benefits and time-saving effects will be created for Data Center operations managers thanks to further automation of this process, also under the aspect of predictive maintenance during resource planning.

An additional example for automating previously time-consuming processes is the automated port naming in DAMS C as well as the planning of cable paths. Automating both processes significantly accelerates and facilitates every-day work in Data Centers.