View your deployments
You might want to check the status or details of a model deployment in Amazon SageMaker Canvas. For example, if your deployment failed, you might want to check the details to troubleshoot.
You can view your Canvas model deployments from the Canvas application or from the Amazon SageMaker AI console.
To view deployment details from Canvas, choose one of the following procedures:
To view your deployment details from the ML Ops page, do the following:
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Open the SageMaker Canvas application.
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In the left navigation pane, choose ML Ops.
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Choose the Deployments tab.
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Choose your deployment by name from the list.
To view your deployment details from a model version’s page, do the following:
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In the SageMaker Canvas application, go to your model version’s details page.
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Choose the Deploy tab.
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On the Deployments section that lists all of the deployment configurations associated with that model version, find your deployment.
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Choose the More options icon (
), and then select View details to open
the details page.
The details page for your deployment opens, and you can view information such as the time of the most recent prediction, the endpoint’s status and configuration, and the model version that is currently deployed to the endpoint.
You can also view your currently active Canvas workspace instances and active
endpoints from the SageMaker AI dashboard in the SageMaker AI console
The following screenshot shows the SageMaker AI dashboard. In the Canvas section, you can see that one workspace instance is in service and four endpoints are active.
