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What is the recommended solution for viewing metrics globally across multiple Google Kubernetes Engine (GKE) clusters?

Configure Prometheus cross-service federation to enable centralized data access.

Implement workload metrics within Cloud Operations for GKE.

Set up Prometheus hierarchical federation for centralized data access.

Deploy Google Cloud Managed Service for Prometheus.

The recommended solution for viewing metrics globally across multiple Google Kubernetes Engine (GKE) clusters is deploying Google Cloud Managed Service for Prometheus. This option provides a fully managed solution that seamlessly integrates with Google Cloud services and GKE, which allows for efficient collection, storage, and querying of Prometheus metrics without the overhead of managing the underlying infrastructure.

By utilizing Google Cloud Managed Service for Prometheus, organizations can leverage its built-in capabilities to scale automatically and handle varying workloads across multiple clusters. This service simplifies the management of Prometheus monitoring by eliminating the complexities associated with setting up and maintaining Prometheus servers and the necessary storage backends. Additionally, it provides compatibility with the Prometheus ecosystem, ensuring that existing monitoring tools and integrations can be used effectively.

This solution is advantageous for teams looking to maintain observability across multiple GKE clusters, as it centralizes metrics collection and makes it easier to analyze data from a global perspective. Integrating directly with Cloud Operations also enables enhanced dashboards and alerting features, further enriching the monitoring experience across clusters.

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