SPONSORED BLOG POST
What if cloud-based data center infrastructure management (DCIM) software could help you understand the difference between a non-event, an emergency and an outright crisis simply based on historical data?
We can all agree that from a distributed IT and data center monitoring perspective, being able to determine whether current events are critical or unimportant is vital to continuous and efficient operations.
In fact, IT and data center professionals must be able to differentiate between the thousands of alarms that can be activated at any time in a normal working day.
Different level events must drive different actions
The reality is operators face many challenging scenarios and must make quick decisions based on real-time data. And they must learn to classify the impact of alarms to determine a proper response.
While software with predictive analytics could take routine events—like an alarm firestorm—and prioritize which events are true emergencies, other events are unique—and are sometimes so extreme they’re impossible to predict based on historical information.
Then there are those events that are difficult, but not impossible to predict.
Let’s take a look at the European heat wave of 2018. One data center operator reported getting 20,000-30,000 alarms a day because the outside air temperature was regularly rising above 35°C (95°F). That’s when operators quickly recognized a pattern. An uptick in temperature routinely happened before the cooling system kicked in and reduced the temperature.
This repeating cycle caused temperatures within the data center to regularly rise above, and then fall below, target thresholds as often as 30 times a day. Monitoring systems responded by generating thousands of alarms on the rack PDUs as the thresholds were crossed. Analysis helped operators understand which alarms needed attention and which could be ignored.
A software system that can recognize the characteristics of an event based on historical data and grade the effects and responses to previous alarms can inform personnel about how critical such an event is likely to be.
Stop reacting, start predicting
The good news? New cloud-based data center infrastructure management (DCIM) tools are constantly evolving to improve operations and mitigate potential issues. By capturing endless, anonymized data points, cloud-based DCIM software is designed to help operators move from being reactive to being predictive.
The software system learns from operator’s reactions to different events and becomes “smarter” by establishing alarm priorities based on previously seen conditions. By automatically building ratings of criticality each time an alarm occurs, the software can guide operators’ reactions with appropriate warnings.
If a crisis does occur, the system stands ready to highlight what's important and push to the background anything that's not. Through this support, operators can more quickly perceive what constitutes the real cause of a problem and respond appropriately.
What’s more, the software system can become personalized to a particular IT environment and those who operate it in the same way a search engine, online retailer or digital content provider learns your preferences and offers items that relate directly to your primary interests.
Discover today’s cutting-edge, cloud-based DCIM tools
In a distributed IT or data center environment, we’re always learning more about real problems. Improving today’s alarm systems will not only increase productivity, it’ll help deal with major hazards.
As systems scale and more data is captured, predictive analytics become feasible, potentially raising the bar on what's possible through state-of-the-art, cloud-based DCIM software.
To learn more about how cloud-based DCIM software can help your business using APC by Schneider Electric, contact your Ingram Micro representative today or visit Ingram Micro Cloud Marketplace.