Dagster+ Insights#
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How it works#
Insights makes it easier to capture operational data not only from Dagster pipelines, but also downstream systems. Visualizations are built right into the Dagster UI, allowing you to explore Dagster usage alongside metrics from other platforms, like Google BigQuery.
To access Insights, click Insights in the top navigation bar in the UI:
The left navigation panel on this page contains a list of available metrics. For each metric, the daily, weekly, or monthly aggregated values are displayed in the graph.
Use the tabs above the charts to view metrics for Assets, Asset groups, Jobs, and Deployments.
These metrics are updated on a daily basis. Refer to the Available metrics section for more information about these metrics.
Data retention#
How long historical Insights data is retained depends on your Dagster+ plan:
- Dagster+ Pro - 120 days
- All other plans - 30 days
Available metrics#
| Metric | Description |
|---|---|
| Dagster credits | The Dagster credit cost associated with computing this object. Dagster credits are charged for every step that is run, and for every asset that is materialized. For more information, refer to the pricing FAQ. |
| Compute duration | The time spent computing steps. For jobs that run steps in parallel, the compute duration may be longer than the wall clock time it takes for the run to complete. |
| Materializations | The number of asset materializations associated with computing this object. |
| Observations | The number of asset observations associated with computing this object. |
| Step failures | The number of times steps failed when computing this object. Note: Steps that retry and succeed are not included in this metric. |
| Step retries | The number of times steps were retried when computing this object. |
| Asset check warnings | The number of asset checks that produced warnings. |
| Asset check errors | The number of asset checks that produced errors. |
| Retry compute | The time spent computing steps, including time spent retrying failed steps. For jobs that run steps in parallel, the compute duration may be longer than the wall clock time it takes for the run to complete. |
Working with metrics#
Integrating other metrics#
Other metrics, such as asset materialization metadata or Snowflake credits, can be integrated into Dagster Insights. Insights currently supports the following external metrics:
- Asset materialization metadata. Refer to the Using asset metadata with Dagster+ Insights guide for more info.
- Google BigQuery usage generated by either queries made to BigQuery resources or using dbt to materialize tables
- Snowflake usage generated by either queries made to Snowflake resources or using dbt to materialize tables
Exporting metrics#
Metrics in Dagster+ Insights can be exported using a GraphQL API endpoint. Refer to the Exporting Insights metrics from Dagster+ guide for details.