we want to be able specify for Turbonomic to make recommendations on certain workloads based on more than a months data

Turbonomic uses Minimum and Maximum Observation Periods to make recommendations. These Min/Max values can be adjusted in polices that are applied to certain workloads included in the Scope of the policy. The Min/Max values that are available vary depending on the type of Policy.

Minimum Observation Period - This setting ensures historical data for a minimum number of days before Turbonomic will generate an action based on the percentile set in Aggressiveness. This ensures a minimum set of data points before Turbonomic generates the action.

• More Elastic = No minimum

• Less Elastic = Elasticity decreases as values increase

Max Observation Period - Turbonomic uses historical data from up to the number of days that you specify as a sample period. The recommended Max Observation Period generally is for 30 days.

• More Elastic = Elasticity increases as values increase

• Less Elastic = Elasticity decreases as values decrease

Aggressiveness is another factor to consider and can be adjusted. When evaluating utilization of compute and storage resources, Turbonomic considers a given utilization percentile. For example, assume a 95th percentile which is used by default. The maximum utilization would be the highest value that 95% of the observed samples fall below. Using a percentile, Turbonomic can recommend more relevant actions, so that analysis can better exploit elasticity in your environment.

If you have additional feedback, want to expand on your particular use case about this idea or if there is something else that should be considered, then reply to this message to continue the conversation.