Framework for Multi-Resource Condition Evaluation

Abstract

In many computing scenarios, ensuring a desired state or enforcing a policy for a cloud workload requires considering the relationships and dependencies between distinct entities, resources, or assets. Traditional approaches that focus on the properties and configurations of single resources or assets can prevent accurate assessment of requirements. This disclosure describes techniques to evaluate conditions and constraints that involve multiple, disparate types of resources or entities. The techniques include resource identification and relationship mapping; data retrieval; cross-resource constraint evaluation; result aggregation and reporting; etc. A generic framework and data model define and evaluate conditions that span the boundaries of individual resource metadata, enabling comprehensive and accurate assessments of complex requirements