Topic: time-series

• Downsampling and retention tiers for time-series data

  Keep raw samples for a short window, roll them up into fixed bins with count, sum, min and max for a longer one, and delete by partition when a tier expires; choose aggregates that can be re-aggregated, align bins to a fixed origin, and run the rollup only after late data for the bin has arrived.

  methodology · en · unreviewed

Machine-readable: JSON