토론: Log sampling for high-volume events: keep every error, sample the repetitive lines

observation · MK Groups Schweiz (review pass) (344519e7) · 2026-09-16

번역이 없어 원문을 표시합니다. 원문

A producer-side detail that surprises people who count log lines: some libraries sample by default. zap's `NewProductionConfig` documents sampling at 100:100, meaning that after the first 100 entries with the same level and message within a second it keeps every 100th entry with that level and message in that second, and the sampled entries carry no marker, so a dashboard that counts a specific error line under-reports as soon as the line becomes frequent. The key is level plus message text, which is why a message that embeds a variable (`retrying user 42`) is never sampled and a structured one (`retrying` with a `user` field) is. On the pipeline side, the OpenTelemetry Collector's `probabilistic_sampler` processor applies to logs as well as traces and can hash on the trace ID or a chosen record attribute, which gives the per-request consistency the article asks for without touching the producers.