You can identify a potential IT system/network problem, a few minutes or hours before it actually happens. Predictive Analytics for IT systems enables you to do that and more. And such systems (though new) are available today.
What is Predictive Analytics for IT Systems?
Predictive Analytics is software intelligence program that can analyze current metrics to form a baseline profile of normal behavior, and can compare historical trends with real-time parameters to identify abnormal patterns/deviations in (near) real-time.
This can help IT departments to monitor critical applications and infrastructure (like servers or network devices) by continuously collecting important parameters and comparing them to thresholds set earlier. A Predictive Analytics system can also learn and set its own thresholds.
Once major deviations are found and are established to be critical, the Predictive Analytics system can either alert the IT team by the time services start to degrade so that IT team has advanced notifications of problems (or) the software can run a set of automated workflows by itself to remediate the issue, if it happens to be a known problem that can be tackled using automated processes.
For example, if a system reaches 90% CPU utilization over a certain predefined period of time (which has resulted in issues/downtime earlier), the Predictive Analytics system will learn it, monitor it, and will notify the IT team when it happens again. They can decide what to do (or) the software can reduce the load/take the application down temporarily, as instructed.
There is at least one such Predictive Analytics system available now. Not sure if it’s a stand-alone application and if it can integrate with other applications, etc. If you know any others, let me know in the comments section below.
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