An example system and method to provide a dashboard for users to analyze and review their hyper-scaler usage and spending and offer optimizations to predict optimal use of reserved and unreserved instances on various hyper-scaler platforms. While hyper-scaler platforms offer flexibility for users to scale their use on a platform, there is a potential risk of rapid cost overruns in large enterprise organizations that may be difficult to control and predict. In some examples, the system can determine an optimal number of reserved instances using past usage data and/or prediction data from a user may be used by the system to make forward predictions about reserving an optimal number of instances and minimizing hyper-scaler resource use.