{% set baseFontFamily = "Open Sans" %} /* Add the font family you wish to use. You may need to import it above. */

{% set headerFontFamily = "Open Sans" %} /* This affects only headers on the site. Add the font family you wish to use. You may need to import it above. */

{% set textColor = "#565656" %} /* This sets the universal color of dark text on the site */

{% set pageCenter = "1100px" %} /* This sets the width of the website */

{% set headerType = "fixed" %} /* To make this a fixed header, change the value to "fixed" - otherwise, set it to "static" */

{% set lightGreyColor = "#f7f7f7" %} /* This affects all grey background sections */

{% set baseFontWeight = "normal" %} /* More than likely, you will use one of these values (higher = bolder): 300, 400, 700, 900 */

{% set headerFontWeight = "normal" %} /* For Headers; More than likely, you will use one of these values (higher = bolder): 300, 400, 700, 900 */

{% set buttonRadius = '40px' %} /* "0" for square edges, "10px" for rounded edges, "40px" for pill shape; This will change all buttons */

After you have updated your stylesheet, make sure you turn this module off

8 Data Center Asset Management Problems You Can't Ignore

8 Data Center Asset Management Problems You Can't IgnoreA data center, its servers, storage and networking, and the peripheral equipment needed for their operation all add up to a management challenge. Not only is their use and maintenance expensive, but it is also too often inefficient and difficult. Data center asset management is an area where many enterprises could make significant improvements, especially in solving the following problems:

1. Inaccurate Asset Location Information

A data center is a warehouse, in which the goods are plugged into power sockets. Just like in any other warehouse, it is critical for the management team to know what is located where.

The bigger the data center, the more time it takes to run around checking machines, serial numbers, and locations. Beyond a certain size, this becomes unreasonable and the data center becomes unmanageable unless you use a better solution.


2. Unknown Server Capacity Utilization

Do you know how much capacity is being used or still available for a given server?

Figures of 15% capacity used are not uncommon because IT managers would rather play it safe.

However, this means wastefulness not only in computing resources but also in power and cooling.

Even customers using dedicated servers in colocation facilities can benefit from information on capacity usage to help them make their computing dollars stretch further.

3. Connection Conundrum

Whether cabling is neatly tucked out of the way (good) or hanging around like so much spaghetti (not good), it can be difficult or impossible to know where the server connection ends up by just a visual inspection. 

4. Warranty/Maintenance Uncertainty

Ideally, servers and storage units would declare themselves as coming up to the end of warranty or being due for maintenance.

A manual approach is to log all the information in a spreadsheet manually and check it daily.

However, this takes diligence and is difficult to share in a properly updated way between data center team members.

5. Undetermined Power/Heating Thresholds

Will specific server racks support additional machines or new technology? Are machines close to power or cooling limit points, beyond which reliability and safety could be affected?  

Too many data centers have no accurate or real-time data on these key aspects.

6. Air Conditioning Inefficiencies

Data center asset management often starts out with the best intentions when it comes to power and air conditioning. Then internal changes are made or separating partitions are installed, and the initially optimized design ends up with overly hot and cold spots or passages.

Without knowing where these are, data center managers are doomed to spend more on power and air conditioning where it is not needed, and risk breakdown where it is.

7. No Overall View of Assets

Data centers need to be understood as a whole entity, as well as component by component.

Adjustments or new electrical loads in one area should also be evaluated in terms of the complete power system.

8. Static (Outdated) Reports in a Dynamic Environment

Readings made a week ago and information for servers when first installed may both be out of date today.

Upgrades, workload variation, and power and temperature fluctuations all call for a real time reporting solution if decisions are to be taken with accurate data.


What is the biggest problem in data center asset management you have had to face? Share your experience with us with a note in the Comments area below.


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Topics: Data Center Colocation

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