Intrigued by the art of cloud architecture? Discover how to design, develop, and manage robust, secure, scalable, and dynamic solutions on Google Cloud as you prepare for the Professional Cloud Architect exam!
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An enterprise has migrated multiple line-of-business applications onto shared, multi-tenant Google Kubernetes Engine (GKE) clusters. Executive leadership requires the cloud architecture team to establish a value realization framework to evaluate return on investment (ROI) and platform adoption.
The framework must satisfy the following business requirements:
Which solution should the cloud architect implement to track these value realization metrics?
GKE usage metering is a native Google Kubernetes Engine capability that records detailed information about resource requests and actual resource consumption across workloads within a cluster. It exports this granular telemetry directly into BigQuery, enabling deep analytical querying and dashboard visualization via Looker Studio.
This approach directly aligns technical workload metrics with organizational accounting structures. Rather than relying on simple infrastructure monitoring, it gives business leaders and architects the continuous operational and financial transparency necessary to realize and maximize cloud investment value.
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