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A financial services organization is architecting its Google Cloud environment to support automated data pipelines and analytics workloads. The company has distinct compliance requirements across its environments and needs to design a resource hierarchy that enforces strict data governance.
The architecture must satisfy the following requirements:
How should the organization structure its resource hierarchy and security boundaries?
This architecture establishes a multi-tiered resource hierarchy structured around application environments (Development, Production) directly under the Organization node. It leverages folder-level inheritance to enforce Organization Policy constraints and aggregated Cloud Logging sinks, while isolating production data services within a VPC Service Controls (VPC SC) perimeter.
Production folder level. These policies are inherited across all child projects hosting production workloads, while the Development folder can maintain more permissive configurations.Designing the top-level folders by application environment aligns directly with centralized security governance needs where production requirements strictly diverge from non-production requirements. Combining folder inheritance with VPC Service Controls delivers defense-in-depth against both internal misconfigurations and external exfiltration.
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