Recording rule
A recording rule is a Prometheus rule that periodically evaluates an expression and stores its result as a new time-series metric.
ScyllaDB in Action
A recording rule is a named Prometheus expression that is evaluated and stored as a derived time-series value for convenient reuse.
- How it is used
- Provides reusable calculated metrics for Prometheus monitoring, Grafana dashboards, alerts, and application-specific visualizations.
- How deep it goes
- Explains recording rules as query shortcuts and demonstrates their latency use, but does not detail configuration syntax.
- Examples
- Uses summed read-latency totals, request counts, average latency, and rlatency95 as concrete examples.
- What you can do after
- Apply it via PromQL and Prometheus to reuse complex calculations in dashboards, alerts, and visualizations.
Cloud Observability in Action
A recording rule is a Prometheus rule that precomputes an expression and stores its result as a new time series.
- How it is used
- Improves Prometheus query performance by materializing frequently used or expensive expressions as reusable time series.
- How deep it goes
- Defines rule groups, evaluation intervals, record names, and expressions, but does not detail rule-engine internals.
- Examples
- Uses an API 5xx error-rate calculation and Pyrra-generated rules for a ho11y service SLO.
- What you can do after
- Apply it via Prometheus configuration to precompute an API error rate or SLO-related metric.
Read how Cloud Observability in Action explains recording rule →
Related concepts
- percentileproduces · A percentile is a value in an ordered distribution at or below which a specified proportion of observations falls.
- meanimplements · A mean is a measure of central tendency, calculated as the arithmetic average of values or, for a random variable, as the probability-weighted average of its possible values.
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