Observability - oleander

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oleander captures lineage, traces, and logs from every layer of your data stack - Spark, Airflow, dbt, and beyond - and stitches them into a unified view per run. No changes to your existing pipelines required; wire up an OpenLineage-compatible integration and events start flowing automatically.

What’s captured

Signal	Description
Lineage	Job-to-dataset dependencies, column-level flow, schema history
Traces	OTel spans from orchestrators, transforms, and query engines joined into a single timeline
Logs	Driver, task, and model logs attached to the same runs as your lineage
Events	The raw OpenLineage event stream - `START`, `COMPLETE`, `FAIL` - with full facets

Search

oleander indexes all lineage metadata and exposes a faceted search across jobs, datasets, and runs. Filter by job name, dataset, schema field, namespace, or run status to find exactly what you need.

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Chat

Ask Lea and Ollie - oleander’s assistants - questions about your pipelines in plain English. They can diagnose failures, trace impact, surface anomalies, and explain lineage without you having to navigate the graph manually. For programmatic access, see Coding with agents.

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