time_series_metrics benefits from time_series

time series metricsBenefits Fromtime series rollup

Source: Workload·Target: Pattern

Summary

Time series metrics workloads benefit from rollup to bound storage growth and maintain query performance for historical dashboards without retaining raw high-frequency data indefinitely.

Evidence

·time_series_metrics is write-heavy (100k-1M rps) with 500GB-5TB/month growth requiring a retention policy (workloads/time_series_metrics.yaml)
·time_series_rollup applies above ~1000 points/sec with long retention and bounds storage growth to the rollup retention policy (patterns/time_series_rollup.yaml)

Evidence grounding

Grounded, 2 supporting items

The workload's write rate and mandatory retention exactly satisfy the rollup pattern's applicability threshold.