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The Life of a Metric
Illustration only Photo by Maarten Deckers on Unsplash
A single metric moves from in-process counter to compressed columnar storage and eventual downsampling inside VictoriaMetrics
Engineers who run observability stacks need to know how metrics are stored and transformed so they can size clusters, predict query latency, and plan retention policies. The description shows where CPU, memory, and disk costs accumulate and where data resolution is lost.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
Metrics originate as counters or gauges inside instrumented processes
VictoriaMetrics assigns identity, builds inverted indexes, and writes data through an LSM tree
Older metrics are downsampled, trading resolution for lower storage cost
THE CLUSTER