Dagster Per Asset Healthchecks

What it does

This skill allows you to define and run health checks for individual assets within a Dagster pipeline. It provides a mechanism to monitor asset quality, track dependencies, and proactively identify potential issues before they impact downstream processes. The skill enables custom health check logic tailored to specific asset types and data characteristics.

When to use it

• Data Quality Monitoring: Regularly assess the validity and completeness of datasets used in your pipelines.
• Dependency Tracking: Verify that assets are successfully producing outputs required by dependent assets.
• Proactive Issue Detection: Identify and address potential problems with asset generation before they cascade through a pipeline.
• Custom Validation Logic: Implement specific checks for data formats, business rules, or other asset-specific criteria.

Key capabilities

• Asset-level health check definition
• Customizable health check logic
• Integration with Dagster pipelines
• Dependency tracking and validation

Example prompts

• "Run a health check on the 'daily_sales_data' asset."
• "Check if the 'processed_orders' asset depends on the 'raw_order_logs'."
• "Execute the data quality checks for all assets in the 'marketing_pipeline'."

Tips & gotchas

• Requires a working Dagster environment and familiarity with Dagster concepts.
• Health check logic must be compatible with Dagster's execution model.