Metrics
Faster, more controllable querying in Metric Explorer
Metric Explorer query enhancements, based on customer feedback. Run queries on demand with the new Run query button (or Cmd+Enter / Ctrl+Enter) instead of automatic runs, get actionable error messages that tell you the real reason and a path forward (for example, a series limit reached message), filter values in or out by hovering the results table, group by any column with sum, max, min, count, or average without writing PromQL, expand grouped rows with the drilldown icon, and switch the metric while keeping your filters and group-by. Learn more
Metric usage analysis shows bytes and CX units
Usage values across Metric usage analysis now appear as bytes alongside CX units. The top stats row of each drilldown shows Cardinality, Usage (bytes + CX units), and Samples so you can reason about raw data volume and billing impact from the same view. Learn more
Metric Explorer and Browse Labels and Values
Metric Explorer — Query any Prometheus-compatible metric, visualize results as time series charts, and drill down by label dimensions from a dedicated workspace—without setting up a dashboard first. Use the no-code Builder or write PromQL directly, combine expressions, and identify which label values drive anomalies. Learn more
Browse Metric Labels and Values — The original Metric Explorer has been renamed to Browse Metric Labels and Values. Browse metrics, labels, and label values without writing PromQL, and generate a starting query to use in Metric Explorer or Custom Dashboards. Learn more
New top-level Metrics section — Metrics documentation previously scattered across Account Management, Data Transformation, and Monitoring is now consolidated into a dedicated Metrics section in the navigation for easier discovery.
Metric Usage Analyzer subtopics — Variations, Labels, and Explore Tab are now standalone pages nested under Metric Usage Analysis, making each topic easier to find and navigate.
Explore Tab — Identify which label values contribute most to a metric's cardinality. Includes documentation for the 1-hour time window constraint, advantage over PromQL series scan limits, and use cases for identifying cardinality by region, cluster, and service. Learn more
Live Error Logs — Surface real-time error logs for failed query executions directly from the Query Pattern drilldown. Learn more

