Connect cloud accounts
TensorCost reads your cloud provider’s own cost and billing data — AWS, Azure, and GCP — to attribute infrastructure spend across your fleet. This is read-only, always: none of the three connections below grant TensorCost permission to create, modify, start, or stop anything in your account.This page is about the Cloud tab of Connect — general infrastructure spend (compute, storage, networking, everything AWS/Azure/GCP bill you for). If you’re connecting Amazon Bedrock, Azure OpenAI, or Vertex AI specifically to track LLM usage and get model-routing recommendations, that’s the AI tab of the same page — see Bedrock integration for that flow. The two are separate connections with separate credentials, even when they point at the same cloud account.
Where to go
Build → Connect, Cloud tab (the default tab). Each provider is its own card: click Connect → to open its setup form, or + Add account if you already have one connected and want to add another (all three providers support connecting more than one account/subscription/project).The three providers at a glance
FOCUS (the FinOps Open Cost and Usage Specification) is an industry-standard billing-data format. Where a provider’s export uses it, that’s noted above — you don’t have to build or maintain the export format yourself, only turn it on.
What “read-only” actually grants
Each connection is scoped to the minimum a FinOps tool needs to read spend, nothing more:- AWS — the role TensorCost assumes has no write permissions on anything. It can read cost and usage data and, if you opt in, list and read objects in a CUR export bucket.
- Azure — two read-only RBAC roles: Cost Management Reader on the subscription, and Storage Blob Data Reader scoped to the export storage container. Nothing else.
- GCP —
roles/bigquery.dataVieweron the billing-export dataset androles/bigquery.jobUserto run the read query. Nothing else.
Verify before you connect
All three providers have a Verify step before the account activates, and it’s a real connectivity check, not a format check:- AWS actually performs
sts:AssumeRoleagainst the role and External ID you entered. - Azure actually mints a token and confirms it can list your export’s storage container.
- GCP actually mints a token (or runs the full Workload Identity Federation exchange) and, if you’ve already pointed it at a BigQuery dataset, confirms it can read it.
Status after you connect
Once connected, each provider card shows one of these states:
If you connect more than one account per provider (multiple AWS accounts, multiple Azure subscriptions, multiple GCP projects), the card rolls all of them into one status — worst-case wins, so one broken account shows as ERROR even if the others are healthy.
Disconnecting
Removing a connection deletes the stored credentials and stops future syncs. Historical spend data already ingested is kept — you can reconnect later without losing your cost history.Next steps
Amazon Web Services
Cross-account IAM role, ExternalId, optional CUR export.
Microsoft Azure
Secretless by design — needs a directory admin and a subscription owner.
Google Cloud Platform
Service account key or Workload Identity Federation.