Analytics Required to Successfully Manage Performance and Capacity in Cloud Environments

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Many virtual management tools promise to deliver optimized workload performance by using rules-bases analytics to detect problem areas. However, most of these solutions won’t offer recommendations as to what actions should be undertaken to resolve performance bottlenecks and prevent future ones.

In this essential resource, explore the shortcomings of current performance and capacity management tools and discover what analytics offer truly intelligent workload automation so you can accomplish the following goals:

  • Provide “What If” analysis for a broad set of use cases
  • Eliminate wasted resources such as dormant VMs
  • Economically provision the right amount of physical and virtual capacity
  • And more
Turbonomic an IBM company
Feb 8, 2021
Apr 25, 2012
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