> ## Documentation Index
> Fetch the complete documentation index at: https://docs.oleander.dev/llms.txt
> Use this file to discover all available pages before exploring further.
# Observability
> Full visibility into your data pipelines - lineage, traces, logs, and automated investigations.
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.
## 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](/mcp/introduction).
