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Logfire’s dynamic JSON shredding makes some queries over 1,000× faster

pydantic.dev 13 min read Editor score 8/10

Logfire’s dynamic shredding brings some queries from timeouts beyond 30 seconds to under a second by optimizing semi-structured attributes. The production example offers concrete performance lessons for systems handling high-volume telemetry.

What: Dynamic shredding is Logfire’s optimization for querying semi-structured OpenTelemetry attributes.
How: It targets semi-structured attributes; some queries are reported over 1,000× faster, with queries that timed out after 30 seconds finishing in under a second.
Why it matters: Faster attribute queries can make telemetry data more usable for engineers investigating services at scale.

OpenTelemetry data is stored as Parquet files in object storage. Sketched from the article's own text.

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