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Reliability of an application or solution in production environment is one ofthe fundamental features where every SRE team is critically focused upon. Atthe same time achieving extreme reliability comes with the cost which includebut not limited to slow pace of new feature deployments, operations cost andopportunity cost. One such earlier effort in giving an objective metric tostrike the fine balance between acceptable reliability and product velocity iserror budget and its associated policy. There are also contemporary deploymentguidelines and controls per organization to ascertain the reliability of anapplication deployment version into customer facing or production environments.This work proposes new objective metrics called Application Deployment Scoreestimated using dichotomous Item Response Theory model. This score is used toassess the improvement trend of each application version deployed into customerfacing environment, identify the improvement scope for each applicationdeployment in each area of deployment guidelines and controls, adjust the errorbudget i.e. soft error budget of a interdependent application in applicationmesh by giving soft collective responsibility and finally defines a new metriccalled deployment index which helps to assess the effectiveness of thesecontemporary deployment guidelines and controls in upholding the agreed SLOs ofthe application in customer facing environments. This study opens a new fieldof research in developing new underlying latent indexes (i.e. new objectivemetrics) in SRE and DevOps space.

Site Reliability Engineering: Application of Item Response Theory to Application Deployment Practices and Controls