Pipeline logs help you prove what ran, debug failures, and satisfy audit requests without logging into every warehouse or agent host. The Logging tab in organization settings defines defaults for verbosity, how long logs stay available, and whether you stream structured logs to external systems.Documentation Index
Fetch the complete documentation index at: https://docs.planasonix.com/llms.txt
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Log levels
You assign a default log level for new pipelines and can override it per pipeline or per environment where your plan allows.- Error
- Warn
- Info
- Debug
Records failures and aborted steps only. Use for high-volume production jobs where you already capture metrics elsewhere.
Debug-level logs may include query fragments, file paths, or parameter names. Treat them as sensitive and restrict who can view exported bundles.
Retention settings
Retention controls how long Planasonix keeps log records in the product UI and search APIs before automatic purge.- Hot retention – fast lookup in run details and the log viewer; typically shorter and capped by tier.
- Archive retention (where available) – cheaper storage for compliance; retrieval may be asynchronous.
Log viewer
Open any pipeline run and use the Logs panel to:- Filter by node, severity, and time range
- Search free text across message bodies (subject to retention)
- Follow live logs for in-progress runs
Enhanced logging
Enhanced logging (when enabled for your workspace) attaches structured fields such as connection id, job id, shard, and checkpoint offset where the engine exposes them. You use these fields in external log pipelines without scraping unstructured text.Enhanced logging increases per-event size. If you export to a third-party system, confirm daily ingest limits and sampling rules on that side.
Log export
Configure log streaming or batch export to send copies to:- HTTPS endpoints (often a collector or SIEM HTTP API)
- Object storage buckets for long-term archive
- Syslog-compatible receivers (organization-dependent)
Related topics
Diagnostics
Deep dives into run health beyond raw log lines.
Alerts
Notify the team when error rates or log patterns spike.