Skip to main content
Spend alone doesn’t explain anything. Connect usage metrics to understand the why behind cost changes.

​
Supported Sources

Datadog

Import metrics directly from Datadog

Warehouse Metrics

Connect BigQuery, Snowflake, or other data warehouses

Custom Metrics

Import business metrics via API or CSV

​
Use Cases

Explain Changes

Correlate cost spikes with traffic or usage increases

Track Unit Economics

Monitor cost-per-user, cost-per-request, and other KPIs

Separate Load vs Inefficiency

Distinguish between growth-driven costs and waste

​
Normalize with Formulas

Define unit economics formulas to track efficiency over time. Here are some examples:
cost / monthly_active_users
cost / (api_requests / 1_000_000)
(cost / revenue) * 100
cost / storage_gb

​
What You Can Say

Once metrics are connected, you can make statements like:

Cost per transaction +15%

Track efficiency changes over time

Cost per API call improved after optimization

Validate the impact of engineering work

​
Next Steps

Connect Events

Add deploys and incidents for full context.

Build Reports

Create automated reports with your metrics.