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Account Overview

This page presents a consolidated view of usage and spend for a single Snowflake account, enabling FinOps users to monitor credit consumption, identify cost drivers, and prioritize optimization efforts.

Account overview

Data Synchronization​

Last synced - Displays the time elapsed since the last data synchronization from Snowflake (e.g., "6 hours ago"). This timestamp helps you understand data freshness and determine if metrics reflect recent activity.

Month-to-Date Credit Usage​

Current shows the total Snowflake credits consumed so far in the current billing period.

Forecasted displays the projected end-of-month credit usage based on current consumption trends.

Resource Summary​

The Resource summary panel highlights core activity metrics for the selected Snowflake account over the chosen time range.

  • Warehouses monitored – Number of warehouses that Anavsan is tracking in this account.
  • Executed queries – Total number of queries executed in the selected period.
  • Storage used – Volume of storage currently consumed in the account.

These indicators provide a quick snapshot of overall operational scale and footprint.

Top Credit-Consuming Warehouses​

The Top credit-consuming warehouses visualization is a horizontal bar chart that ranks warehouses by credit usage.

  • Longer bars indicate higher credit consumption for a given warehouse.
  • Warehouse names appear on the y-axis, and credits appear on the x-axis.
  • Selecting a bar or warehouse label opens the detailed warehouse view for deeper analysis.

This view helps FinOps teams quickly identify which warehouses should be targeted for configuration or workload optimization.

Top credit-consuming queries​

The Top credit-consuming queries chart highlights individual queries that contribute most to account-level credit usage.

  • The chart uses horizontal bars to represent credits consumed per query.
  • Query identifiers are shown on the y-axis, with credits on the x-axis.
  • Clicking a bar or query ID takes you to the query details page for technical investigation.

Use this panel to surface the most expensive workloads and route them to Data Engineers for remediation.

The Spend trends chart is a time-series view of credit consumption across the selected period.

  • The chart shows how daily credit usage changes over time.
  • Visible spikes or step changes can indicate new workloads, schedule changes, or regressions.

This trend helps validate whether observed patterns align with expected business activity and planned jobs.

Credits breakdown​

The Credits breakdown section shows how total credits are distributed between major cost categories.

Warehouse – Credits associated with compute activity. Storage – Credits associated with data storage.

A percentage indicator makes it easy to understand the relative contribution of compute versus storage within the account, supporting higher-level cost optimization decisions.