This insight is part of the Insights Library that is available for the Insights and Action Plans feature. For information about how to use insights, see  Introduction to Insights. 

Description

This insight indicates applications that exceed the average ratio of development and test to production environments. These environments may be redundant and represent an opportunity to optimize the overall compute environment.

Required data

• Trigger data:
  • Servers Master Data.Application
  • Servers Master Data.Environment contains "dev","test","prod", or "prd"
  • Servers Master Data.Server ID
  • Servers Master Data.Server Count
• Modeled metric:
  • Cost 
• Evaluation period: 
  • Current period (See Introduction to Insights for definitions.)
    
    

Explanations of the online summary for this insight

• Observation - This insight is triggered when the ratio of development and test to production environments for a given application is outside of one standard deviation from the average.
  • For a given Servers Master Data.Application
    • Count of development environments =if(Servers Master Data.Environment CONTAINS "dev",Server Count,0)
    • Count of test environments =if(Servers Master Data.Environment CONTAINS "test",Server Count,0)
    • Count of production environments =if(Servers Master Data.Environment CONTAINS "prod",Server Count,0)
    • Development and test to production ratio =((Count of development environments + Count of test environments) / Count of production environments)
• KPI - The KPIs show the number of excess development and test environments, the average development and test to production ratio, and the standard deviation from the average development and test to production ratio that is used to trigger the insight.
• Chart - The chart shows the count of development and test environments vs. the ratio of development and test to production environments for each application found in the observation. 
• Potential Benefit - Estimated savings is calculated as the total reduction that it would take to bring down the cost for each application that triggered the insight to no more than one standard deviation above the average development and test to production ratio. 
  • (((Development and test to production ratio - average development and test to production ratio) * Count of production environments)*((Cost of development environments + Cost of test environments) / (Count of development environments + Count of test environments))) * 12, for all applications that trigger the insight. 
• Recommended Actions - Follow the recommendations in the insight summary to realize the savings represented as Potential Benefit. 
• Detail - The table lists the applications that trigger the insight and the associated cost of development and test environments.