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Find the services your application uses under its origin cloud, then check the columns for your customer’s target cloud. Open a service page for its supported operations and limitations. For an explanation of the tiers and the Tensor9 runtime, see how service adapters work.

How to read this table

Tier describes the runtime dependency on Tensor9. Infrastructure only means your application calls the target service directly. Max serves supported application API calls through Tensor9. Resource-management API support depends on the service and target. The service row shows the highest tier offered across its published targets; individual target and operation details determine what your application needs. A stack uses the highest tier required by any of its services: one service at Max makes the stack’s tier Max. See adaptation tiers. The cloud columns show targets for each origin service. The origin cloud is omitted because using a service on its own cloud needs no adaptation. ✓ means a supported or approved intended target; - means no adaptation is offered on that cloud. A checkmark does not promise every API operation: the service page states the supported scope. A dash in the tier column means no adaptation tier applies or no tier is specified. The service page explains any capability supplied by the target environment.

Coverage by target cloud

AWS

Google Cloud

Google Cloud services deploy on Google Cloud only; cross-cloud adaptation is not offered.

Azure

Azure services deploy on Azure only; cross-cloud adaptation is not offered. Each service page explains the supported operations and limitations for its target clouds. If the page does not answer your deployment question, ask us.

Services we deliberately do not offer

Tensor9 does not adapt these services from their native cloud to another cloud. This is a product decision, with no plans to add these adaptations. A stack that uses one keeps that service on its original cloud. The direction matters: a service listed here can still be a target for an adapter from another cloud. For example, Tensor9 can adapt SQS onto Azure Service Bus; it does not adapt an application using the Service Bus API onto AWS.

AWS

Google Cloud

Azure