Gmp Clusterpodmonitoring Metric Relabeling Filter

What ClusterPodMonitoring and Metric Relabeling Are

ClusterPodMonitoring is a non-namespaced Kubernetes custom resource provided by Google Cloud Managed Service for Prometheus (GMP). It allows administrators to define target discovery and metric scraping specifications that apply globally across all namespaces in a cluster. The metricRelabeling configuration within the custom resource uses standard Prometheus metric relabeling rules to modify, drop, or keep specific time series before they are exported to the central Monarch storage backend.

How It Meets the Requirements

• Cross-namespace scraping: By using ClusterPodMonitoring, the managed collector discovers matching pods across all existing and future tenant namespaces without requiring separate scraping manifests in each individual namespace.
• Filtering high-cardinality metrics: Placing a metricRelabeling entry with action: drop and a regex targeting payment_debug_.+ on __name__ strips out unneeded high-cardinality metrics directly at the node collector level, stopping them before ingestion.

Key Advantages and Capabilities

• Centralized administration: Eliminates configuration sprawl and maintenance overhead across dozens of namespaces.
• Cost optimization: Discards high-volume time series at scrape time, directly reducing billable samples sent to Cloud Monitoring.
• Native GMP integration: Operates seamlessly with the managed collector DaemonSet deployed and maintained by GKE.

Why This Is Optimal

Alternative approaches like deploying duplicate PodMonitoring objects per namespace increase administrative overhead, while configuring drop filters in alert evaluators still incurs data ingestion costs. ClusterPodMonitoring with local metricRelabeling delivers the lowest operational friction and maximum cost efficiency.