Pydantic Logfire's Sleeper Feature: Every Trace Is Just a Row in a Postgres Table
samuelcolvin · x · 2026-09-18
After two weeks integrating Pydantic Logfire into an agent stack, the author highlights its killer architectural choice: every span sent to Logfire becomes a row in a Postgres table (records, with JSONB attributes) — not a proprietary column store or time-series engine.
- Query telemetry directly with psql, DBeaver, Metabase, Jupyter via SQLAlchemy, dbt, or CI pipelines
- For LLM/agent workloads this collapses observability→BI from six hops (SDK→collector→vendor backend→nightly export→warehouse→BI) to two (SDK→Postgres→BI)
- 'Which model costs the most and fails most?' becomes a single GROUP BY on attributes->>'genai.request.model'
Repo: pydantic/logfire, 4.5k stars, built on OpenTelemetry.
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