Resource-level cloud emissions. Recommendations ranked by impact. Per-team targets you can actually assign. Built for the engineers who ship the fix.
Every cloud reports carbon differently. Every service inside it has its own quirks. Reconciling them costs weeks. Ambra applies a single methodology, aligned with green IT best practice guidelines, so the numbers you compare are actually comparable.
Spend-based carbon means the only way to cut emissions is to cut the bill. That stops working the day the business decides to grow. Usage-based emissions let you make smarter choices at every step of every deployment, regardless of spend.
Every kWh you draw in your datacenter has a real carbon content, by the hour. Ambra runs on that signal, not on national averages that smooth away every optimization decision worth making.
Two products on the same hourly, datacenter-level intensity data. Run them together to close the loop from measurement to action.
Per-resource, per-hour emissions for AWS today, GCP and Azure on the roadmap. Reports CSRD and BEGES-grade for your sustainability team, APIs for everything else.
Right-sizing, region shifts, storage-tier moves, orphaned resources. Every recommendation carries an expected gCO₂eq saving and an expected € saving. Targets per team, quotas you can assign.
Spectrum and Delta speak in APIs, webhooks, and structured exports. Drop them into the surfaces your team already lives in.
Query Spectrum from a pipeline step to compare emissions before and after a change. Surface the Delta on every PR.
GET /v1/resources/:id/emissions?from=...Per-team, per-service emissions as a time series. Plot it next to latency and cost; alert on burn-down deviations against a target.
/v1/teams/:id/emissions?step=1hResource IDs match your cost reports. Join emissions and € in your existing FinOps tooling, no parallel taxonomy to maintain.
resource_id ↔ cost_allocation_id