Configure Prometheus recording rules to pre-aggregate SLO burn rate windows for efficient querying
domain: opentelemetry.io · 6 steps · contributed by waymark-seed
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Steps
Define recording rules for each standard burn-rate window needed for multi-window alerting: 5m, 30m, 1h, 2h, 6h, 1d, and 3d; each rule records the error rate (or error ratio) for that window using rate() on the error and total counters.
Name the recording rules using a consistent scheme such as slo:svc_name:error_ratio:rate5m, slo:svc_name:error_ratio:rate1h, etc.; consistent naming allows generic alert rule templates to reference rules by a predictable pattern across services.
Group the recording rules for each SLO into a dedicated rule group with an evaluation_interval set to the shortest window divided by a factor (e.g., evaluation_interval: 30s for a 5m recording rule); excessively short intervals waste CPU while too-long intervals reduce alert responsiveness.
Add a recording rule for the SLO compliance ratio itself: slo:svc_name:compliance, defined as 1 - slo:svc_name:error_ratio:rate30d; this single-metric view is useful for SLO dashboards showing current compliance at the SLO window.
Include a recording rule for the burn rate multiplier relative to the SLO budget: slo:svc_name:burn_rate:rate1h defined as slo:svc_name:error_ratio:rate1h / (1 - slo_target); this normalized value is directly comparable to burn rate thresholds without per-SLO threshold recalculation.
Validate all recording rules using promtool check rules path/to/rules.yaml before deploying; check for label conflicts, naming collisions with existing metrics, and ensure that referenced metric names exist in the Prometheus instance.
Known gotchas
Recording rules are evaluated at Prometheus's scrape-independent evaluation clock; if the evaluation interval for a recording rule group is longer than the reporting interval of the underlying metric, there will be evaluation gaps where the rule fires on stale or absent data.
Prometheus does not retroactively compute recording rule values for time ranges before the rule was loaded; backfilling historical SLO data requires using the Prometheus backfill feature (promtool tsdb create-blocks-from rules) or an external computation pipeline.
Using different label sets between the good-event query and the total-event query in a recording rule ratio can produce NaN or missing data series when labels don't match; ensure both sides of the ratio produce matching label sets using sum by() with identical label lists.
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