What Engineering teams get with OptCloud
Per-service cost visibility
Every engineer sees the real cost of the services they own, broken down by resource.
Cost in the PR workflow
Surface projected cost impact before code merges, not after the invoice arrives.
Ownership mapping
Map spend to teams automatically using existing tags and service catalogs.
Budget alerts before deploys
Catch cost regressions in staging before they reach production.
See it in your dashboard
A real example of the kind of insight OptCloud surfaces for this use case.
Example pull request cost check
PR #482: feat — add nightly reporting job (provisions 1x r5.xlarge, always-on)
Estimated cost impact: +$310/mo. This job only runs for 6 minutes at 2am — a scheduled Lambda function would save an estimated $280/mo instead.