# View your deployments
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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:

1. Open the SageMaker Canvas application.

1. In the left navigation pane, choose **ML Ops**.

1. Choose the **Deployments** tab.

1. Choose your deployment by name from the list.

To view your deployment details from a model version’s page, do the following:

1. In the SageMaker Canvas application, go to your model version’s details page.

1. Choose the **Deploy** tab.

1. On the **Deployments ** section that lists all of the deployment configurations associated with that model version, find your deployment.

1. Choose the **More options** icon (![\[More options icon for the output CSV file.\]](http://docs.amazonaws.cn/en_us/sagemaker/latest/dg/images/studio/canvas/more-options-icon.png)), 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](https://console.amazonaws.cn/sagemaker/). Your Canvas endpoints are listed alongside any other SageMaker AI Hosting endpoints that you’ve created, and you can filter them by searching for endpoints with the Canvas tag.

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.

![\[Screenshot of the SageMaker AI dashboard showing the active Canvas workspace instances and endpoints.\]](http://docs.amazonaws.cn/en_us/sagemaker/latest/dg/images/studio/canvas/canvas-sagemaker-dashboard.png)