Measurement and Management

Investment in advanced, granular metrics delivers value in larger organizations operating at scale. Advanced metrics can include:

• Measures that are normalized by spend, or that show how spend changes in response to changes in other metrics

• Measures and targets specific to business units

• Developer-focused or engineer-focused metrics that provide feedback on progress toward a goal (such as the percentage of workloads migrated to a target operating system)

• Metrics normalized by usage and business outcome, such as dollars per developer (This helps reduce data noise when dealing with a combination of static and dynamic costs.)

• Tagging based on architecture patterns to ensure that services conform to expected outcomes, such as expected peak CPU or memory utilization