#logging

6 notes

# Observability

Covers moving from freeform text logs to structured key-value records that a query engine can filter and aggregate on.

Covers designing a consistent field schema across services so logs from different teams remain queryable together.

Covers the collection-to-storage pipeline for logs — parsing, enrichment, and routing before they land in a backend.

Covers reducing log volume by sampling non-error traffic while preserving full fidelity on errors and slow requests.

Covers setting retention windows per log tier and the tradeoff between debugging lookback and storage cost.

Covers the log-specific levers — sampling, field-level filtering, and tiered storage — for controlling ingest and storage spend.