When investigating spend spikes in your Snowflake account, you'll often be analyzing a variety of different charts to diagnose the root case. Did spend spike in a specific Snowflake service, virtual warehouse, or Snowflake user? If you're instead investigating an increase in costs for a particular workload (i.e. dbt model), you'll be looking at even more metrics like query run time, frequency, bytes processed, data spillage, and more.

To help streamline these investigations, we're excited to announce the release of synchronized charts. Synchronized charts allow you to easily trends across multiple charts in order to quickly pinpoint root causes.

Synchronized charts are available across the application. As part of this release, we've re-organized many of the pages to allow you to more easily spot trends and correlations between different metrics.

🚀 What else we’ve shipped

→ 🐛 Fixed Usage Groups links on the Organization Dashboard to take users to the explorer page with the expected filters