Component No. 4: Analyzing
Proactive approaches based on trend and predictive analysis of the data being monitored can significantly reduce fear by providing ample warning (for example, alerting system administrators to potential problems as new conditions materialize). By knowing ahead of time what resource constraints may occur, IT can take the appropriate proactive measures to prevent the problems from happening-providing the necessary confidence to virtualize their critical applications.
There are two layers of analysis that can help deliver the information IT staffs need to instill confidence that their infrastructures will perform. The two layers are trend analysis and predictive analysis.
While real-time monitoring tools can show spikes in resources consumption, those spikes may not have a drastic impact on performance or may only be one-time events. Trend analysis based on 24/7 monitoring of resource utilization provides visibility into how the virtual server environment is performing over time. Is resource utilization trending higher, lower or staying the same? Is it necessary to add more capacity or is there room to safely add more virtual machines?
By leveraging trend analysis and running the data through sophisticated mathematical engines, future problems can be predicted. This allows IT to take preventive and proactive actions now. If you knew in a certain amount of days that a problem may occur, you could prevent 90 percent of these performance problems from ever happening. Threshold alerts could be set to show that, in 30 days, a cluster will begin to run out of storage. By knowing that issue today-as opposed to when it happens-actions can be taken now to proactively increase storage allocations and prevent the future problem.