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An enterprise is planning to migrate hundreds of legacy on-premises Windows Server and Red Hat Enterprise Linux (RHEL) workloads to Google Compute Engine. Software licensing fees make up a significant portion of the total operating budget because OS vendor licenses are billed on a per-vCPU basis.
During pre-migration discovery in Migration Center, performance data reveals that the on-premises servers are substantially over-provisioned. Additionally, the corporate compliance team requires automated, continuous auditing of deployed machine shapes and operating system licensing models post-migration to avoid contractual penalties.
Which strategy should the cloud architect implement to optimize licensing costs and ensure ongoing license compliance?
Deploy all workloads to Google Kubernetes Engine (GKE) clusters using custom container images, and restrict access through VPC Service Controls.
Purchase 3-year committed use discounts (CUDs) for existing on-premises core counts, and enforce compliance using Google Cloud Armor edge security policies.
Apply performance-based rightsizing and adjust simultaneous multithreading (SMT) settings in Migration Center, while establishing Cloud Asset Inventory exports and Cloud Audit Logs for ongoing configuration monitoring.
Migrate all servers using a 1:1 hardware core mapping into sole-tenant nodes, and implement monthly manual script executions to inspect instance core counts.
Deploy all workloads to Google Kubernetes Engine (GKE) clusters using custom container images, and restrict access through VPC Service Controls.
Purchase 3-year committed use discounts (CUDs) for existing on-premises core counts, and enforce compliance using Google Cloud Armor edge security policies.
Apply performance-based rightsizing and adjust simultaneous multithreading (SMT) settings in Migration Center, while establishing Cloud Asset Inventory exports and Cloud Audit Logs for ongoing configuration monitoring.
Performance-based rightsizing combined with simultaneous multithreading (SMT) tuning in Migration Center optimizes compute resource allocation and direct per-vCPU operating system licensing fees. Combining this optimization with Cloud Asset Inventory and Cloud Audit Logs creates a continuous auditing mechanism that tracks resource configuration changes and licensing compliance across Google Cloud environments.
This approach directly tackles the core driver of enterprise licensing costs—unnecessary vCPU allocations—while using native cloud auditing mechanisms to maintain continuous governance and audit readiness without adding manual operational overhead.
Migrate all servers using a 1:1 hardware core mapping into sole-tenant nodes, and implement monthly manual script executions to inspect instance core counts.