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While dashboards and software can optimize your bill, the real savings will come when finance and engineering work together

We’ve seen Snowflake customers cut their total bill in half by moving storage into Apache Iceberg, by saving compute costs on ELT.

Snowflake pricing is split between Storage, Compute, and Cloud Services. Compute is by far the biggest source of Snowflake spend.

So, your Snowflake bill is high. But is it too high? That depends- How does Snowflake cost growth compare to top-line growth? Or ROI?

Effective cloud cost optimization requires rightsizing resources, selecting appropriate resource types, and leveraging automated scaling.

The FinOps lifecycle unfolds in three iterative stages: Inform, Optimize, and Operate. Together, these phases form a continuous loop.

The FinOps Inform Phase involves setting up visibility into your organization’s cloud spend in order to inform future optimization decisions

Snowflake standard users: run this script to see if you're burning money on unused storage.

Snowflake multi-cluster does a great job of reducing operational complexity, but there’s a catch: you need to pay 50% more...

Cloud computing offers on-demand computing resources, and yet the majority of cloud-based companies are overspending by as much as a third.

The three main reasons why companies prefer cloud computing to on-premise infrastructure.

Analyzing DBT DAGs can lead to much faster job runtimes.

Espresso AI is the first compute optimization system built from the ground-up to leverage LLMs.