How-to Guides

Practical directions for common tasks. Each guide addresses a specific goal and assumes you already have a working Kedro-Dagster setup.

Configuration

• How to Configure Logging: Unify Kedro and Dagster logs and customize formatters.
• How to Configure Custom Executors: Set up multiprocess, Docker, Kubernetes, Dask, or Celery executors.

Integration

• How to Use MLflow: Track experiments and artifacts with Kedro-MLflow and Dagster.
• How to Use Dagster Partitions: Define partitioned datasets and map partitions across your pipeline.

Deployment

• How to Deploy to Production: Move from local dev to a production Dagster deployment.
• How to Migrate an Existing Kedro Project: Add Dagster orchestration to an existing project.

Operations

• Troubleshoot: Diagnose and resolve common issues.

Contributing

• Contributing to Kedro-Dagster: Development setup, workflow, and project standards.