The problem it solves
Engineers making a resource-sizing or architecture decision rarely see the cost implication until a monthly report lands on a different team's desk, by which point the decision is shipped, reviewed and forgotten. The feedback loop is too slow to actually change behaviour.
This dashboard closes that loop: cost delta estimates surface directly in the pull request for infrastructure-affecting changes, and unit-economics trends are tracked continuously rather than reconstructed monthly.
How it works
Connects to your cloud billing export and infrastructure-as-code pipeline to estimate the cost delta of a proposed change before merge, and tracks cost-per-transaction or cost-per-active-user (configured to your actual business unit) as the headline metric rather than aggregate spend.
Tagging enforcement is built in as policy-as-code at deploy time, closing the most common gap that makes FinOps data untrustworthy in the first place.
What's included
Dashboard implementation against AWS, Azure or Google Cloud billing data, pull-request integration for your CI pipeline, and a unit-economics metric definition workshop to agree what 'efficient' actually means for your specific business.
Delivered as an implementation engagement against your existing cloud environment and version control platform, scoped to your specific provider mix and governance requirements.
A cost signal that arrives after the decision was made is not FinOps. It is an invoice. This dashboard moves the signal back to where the decision happens.MNB Technology
What this guarantees
- Surface cost delta in the pull request, not the monthly report
- Track cost-per-transaction or cost-per-user as the headline metric
- Enforce tagging by policy-as-code at deploy time
- Agree unit-economics definitions with engineering, not just finance