Snowflake Cost Optimization: Where the Credits Go
A practitioner’s guide to Snowflake cost optimization: attribute spend, fix warehouse settings, prune scans with clustering/MVs, and prevent regressions.
What we learn shipping dbt migrations, tuning slow repos, hardening Airflow, and pointing AI agents at production data. Written by practitioners, for practitioners.
A practitioner’s guide to Snowflake cost optimization: attribute spend, fix warehouse settings, prune scans with clustering/MVs, and prevent regressions.
If your dbt run is slow, start with the critical path: run_results.json, model timing, and the DAG’s longest chain. Then apply the seven fixes that actually pay off.
We maintain a small client roster on purpose. If we're the wrong fit, we'll say so — and usually we know somebody who isn't.