Promql Pubsub Consumer Quota Utilization Dashboard

What this PromQL expression is

This PromQL query calculates the dynamic quota utilization ratio by comparing the consumed usage rate against the effective allocated limit for Google Cloud APIs within Cloud Monitoring.

How it meets all requirements

• Monitored Resource and Metrics: It correctly targets the consumer_quota resource type alongside the specific Google Cloud metrics serviceruntime.googleapis.com/quota/rate/net_usage and serviceruntime.googleapis.com/quota/limit.
• Rate vs. Limit Normalization: Quota net usage is tracked as a cumulative rate metric and converted to a per-second rate using rate(). Because API rate limits are represented as operations per minute (60 seconds), dividing the limit by 60 aligns the denominator to per-second units.
• Grouping and Dynamic Intervals: The query aggregates by sum by (quota_metric, location) and max by (quota_metric, location), properly breaking down utilization per region while leveraging the dashboard template variable ${__interval} to adjust smoothly to user zoom levels.

Key advantages

• Prevents division by unit mismatch: Correctly handles unit normalization between per-second consumption rates and per-minute limit descriptors.
• Dashboard variable integration: Automatically rescales time aggregation windows based on the active viewport interval.
• Multi-region breakdown: Isolates quota exhaustion risks per Google Cloud region.
• Dashboards-as-code compatibility: Uses standard Cloud Monitoring PromQL mapping syntax (__name__ and label selectors) for programmatic JSON/Terraform dashboard definitions.

Why this is optimal

This approach directly reflects the native Cloud Monitoring data model for quota monitoring, providing accurate fractional utilization values (0.0 to 1.0+) that can easily drive color thresholds, charts, and automated alerts.