The amount of power consumed by data centers is a significant and challenging issue. Since the creation of this technology, we have always seen changes in energy use.
Forecasts suggest that US data centers are likely to have 73 billion kW energy consumption by 2020.
As data centers evolve and become a more complete package, the energy challenge becomes more important. For example, adding more efficient IT equipment will consume less energy than older devices, but more production will generate more heat and thus require more cooling.
New equipment is good, but the energy used to cool it cannot be ignored, while cooling has always been a traditional and costly problem in data centers.
In the past, computing infrastructures have imposed heavy and necessary costs, and manufacturers have accepted these costs easily.
financial managers play an important role in reducing costs
and calling on senior managers to consider the lowest cost for the most work.
Apart from financial matters, “accuracy” is another important issue that needs to be addressed. Data centers labeled “energy-savvy” are always under the magnifying glass to reduce their energy consumption and minimize the amount of carbon dioxide they leave behind.
Although reducing power consumption and reducing environmental damage is itself a good business, it also has a challenge:
How data center managers should operate green (activities that do not harm the environment), while the number of devices in the technology domain Information is increasing and power consumption should be reduced?
All this while data centers must be always operational and responsive.
Data center failure means that the system is spent and paralyzed. Therefore, there is a great demand for tools that help better understand the status of data centers.
Data Center Infrastructure Management ( DCIM ) tools are design to monitor the efficiency
and power consumption of various building and IT components, from servers to power distribution units
and cooling fans. DCIM software performs operations such as remote monitoring of equipment, environmental monitoring, asset management, reporting and data management and the like.
With the help of this tool, companies are comfortable with resource allocation, energy efficiency optimization and overall productivity.
DCIM’s solution for managing real-time data centers is to follow the path of energy use and make better business decisions that will guide you towards energy storage.
The following are five examples of DCIM assistance that reduce risk and make more use of energy in data centers.
Although these solutions may seem a bit difficult, costly or even unavailable at first,
the reality is that with them, there are significant changes in the conditions of data centers.
1 Prevent disturbance by using simulation
Proper energy management helps save it and prevent system shutdowns,
so DCIM allows administrators to test the energy chain’s reliability in a computing environment. In the simulation environment, you can see the results by disabling a specific segment in the data centers. As a consequence, as the weaknesses of the power chain become apparent, measures are taken to prevent such situations, as well as measures to deal with what happens after they occur.
2 Capacity Planning
The first step in planning for energy management is to track consumption status and find patterns in energy use. After that, most DCIM users find a hidden capacity in their computing infrastructure: standard computing capacity, which in some cases is zombie servers that consume energy and require cooling but actually have no processing.
Using DCIM for process management enables data center managers facing infrastructure constraints to find existing capabilities and extend the life of their data centers. This saves millions of dollars in processing capacity enhancement projects.
3 Energy Optimization
By optimizing energy inefficiencies,
inaccurate integrations and servers that do not work at maximum efficiency,
energy optimization begins and resolves these problems. Since cooling is a major barrier against data center alignment, DCIM regulates the temperature at a specified level by real-time temperature control to prevent damage to facilities. One of the prerequisites for optimizing energy use is the use of advanced cooling devices. In fact, finding bugs in other parts and fixing them also plays a role in energy optimization.
4 Replacing old equipment
Another solution is DCIM repair. That is, from the first minute the equipment is set up until the connections are disconnected, repairs are performed and controls the entire DCIM process. Problems, maintenance and repairs to some of the components will be replaced where it is more cost effective to replace the new equipment. DCIM helps you decide when to keep up with previous equipment and when to switch.
Using DCIM helps data center managers to follow the pattern of energy consumption and its outcome. It also allows employees to focus on more important data centers and for better results. DCIM provides the data center team with important details of how and when a workflow is formed. It also automates some tasks, enhances accuracy, avoids redundancy, and minimizes errors. It also allows you to share all this knowledge with the Service Management System (ITSM), which results in greater accuracy in cost analysis and smoother operation of equipment.
In the end, DCIM is more satisfying for the managers and staff of the data centers,
because as we said, it has a lot of positive results. At leased data centers, customer recruitment is a different process. Because users have real-time data access, DCIM solutions offer the assurance of SLA. Optimizing data centers and computing infrastructures is not a new issue, but managers have the option to invest in a DCIM solution to accelerate productivity more than data centers and minimize energy consumption with today’s knowledge.