VictoriaMetrics Observability Blog

Filter: Storage

The Life of a Metric

Follow a single metric through its whole life inside VictoriaMetrics: born as a counter in your process, exported over the wire, given an identity and an inverted-index entry, written through an LSM tree, compressed into columnar blocks on disk, read back by a rate() query, downsampled as it ages, and finally deleted when retention runs out.

How VictoriaLogs Stores Your Logs in a Columnar Layout

A beginner-friendly tour of how VictoriaLogs stores your logs on disk: streams and daily partitions, immutable parts, blocks and columns, and the files inside a part (timestamps, values, bloom filters, column headers, and the two-level index) that let a query read only the bytes it needs.