IT managers are facing the challenge of how to match application Performance, Availability, Capacity, Economic (PACE) workload demands with the right data infrastructure including cloud resources.
Without automation, manual efforts to optimize cloud resources to meet application PACE requirements results in lost time and productivity, as well as increased cost and risk. This paper looks at common challenges, along with opportunities for enabling applications to be self-optimizing in both on-premises and cloud environments.
