# Code spaces in Identity Center domains
In Identity Center domains, Amazon SageMaker Unified Studio provides spaces that you access from the **Spaces** tab on the **Compute** page. JupyterLab is the IDE application available by default, and you can create additional spaces as desired.
## Creating a code space in Identity Center domains
To create a space, complete the following steps:
1. Navigate to Amazon SageMaker Unified Studio using the URL from your admin and log in using your SSO or AWS credentials.
1. Navigate to the project you want to create a space in. You can do this by choosing **Browse all projects** from the center menu.
1. In the **Build** menu, choose **Spaces** to navigate to the **Spaces** tab on the **Compute** page.
1. Choose **Create space**.
1. Under **Name**, enter a name for the space. This name must be unique. No spaces in the project can use the same name.
1. Under **Application**, choose the IDE application you want to use with the space.
1. Under **Instance**, choose an Amazon EC2 instance that is most compatible with your use case.
**Note**
If you use a GPU instance type when configuring your Code Editor application, you must also use a GPU-based image. Within a space, your data is stored in an Amazon EBS volume that persists independently from the life of an instance. You won't lose your data when you change instances.
1. Under **Image**, choose the image you want to use.
1. Under **EBS space storage**, enter a value from 16 to 100 to choose a storage size.
1. (Optional) Choose the lifecycle configuration for the space.
1. Find your domain ID. For instructions, see [Get project details](view-project-details.md).
1. Find your user profile ID:
1. In the **Compute** panel, choose the **Spaces** tab.
1. The user profile ID is the string following `default-` of the default JupyterLab space.
1. [ Create a lifecycle configuration](https://docs.aws.amazon.com/sagemaker/latest/dg/jl-lcc-create.html#jl-lcc-create-console) for Amazon SageMaker Unified Studio and reference your ID values from step b.
**Note**
Attaching the lifecycle configuration to your Amazon SageMaker AI domain and user profile through the AWS CLI is not currently supported. Use the console to create lifecycle configurations.
1. Under **Lifecycle configuration**, choose the lifecycle you created.
1. Under **Idle time**, enter the amount of time before the space will time out and stop running.
1. (Optional) Attach a custom file system to your space.
1. To attatch a custom file system to a domain see [ Attaching a custom file system to a domain with the AWS CLI](https://docs.aws.amazon.com/sagemaker/latest/dg/domain-custom-file-system.html#domain-custom-file-system-cli), and reference your ID values from step 10.
1. Under **Attach custom file system**, attach the file system.
1. Choose **Create and start space** to create the space and have it start running.
It might take up to 5 minutes for Amazon SageMaker Unified Studio to finish creating the space. After the space is created, you can view it in the list on the **Spaces** tab and choose **Open** to launch the IDE in your browser.
You can then perform various actions using the three-dot **Actions** menu on the **Spaces** tab in Amazon SageMaker Unified Studio. You can edit the space, start or stop running the application, delete the space, or view information about the space.
## Editing a code space in Identity Center domains
Project members can edit a space at any time to change certain configurations. Before editing a space, make sure that you have saved any changes to your work in that space.
**Note**
A space's name and IDE application cannot be changed.
To edit configurations for a space, complete the following steps:
1. Navigate to Amazon SageMaker Unified Studio using the URL from your admin and log in using your SSO or AWS credentials.
1. Navigate to the project you want to edit a space in. You can do this by choosing **Browse all projects** from the center menu.
1. In the **Build** menu, choose **Spaces** to navigate to the **Spaces** tab on the **Compute** page.
1. Choose the three-dot **Actions** menu next to the space you want to edit. Then choose **Configure space**.
1. Make the desired changes, then choose **Save and restart** if the space is running, or **Save and start** if the space is stopped.
**Note**
Saving changes to a running space requires a restart, and any unsaved changes will be lost.
## Deleting a code space in Identity Center domains
Project members can choose to delete a space in Amazon SageMaker Unified Studio. Deleting a space is permanent and cannot be undone. Before deleting a space, make sure that you have saved all your data and that you are sure that this is the action you would like to take.
**Note**
You cannot delete the default JupyterLab space in Amazon SageMaker Unified Studio.
To delete a space, complete the following steps:
1. Navigate to Amazon SageMaker Unified Studio using the URL from your admin and log in using your SSO or AWS credentials.
1. Navigate to the project you want to delete a space in. You can do this by choosing **Browse all projects** from the center menu.
1. In the **Build** menu, choose **Spaces** to navigate to the **Spaces** tab on the **Compute** page.
1. Choose the three-dot **Actions** menu next to the space you want to delete. Then choose **Delete**.
1. Review the information in the window provided, then type **confirm** where indicated.
1. Choose **Delete this space**.
## Amazon Q support in code spaces for Identity Center domains
Amazon Q free tier support is available across all code space types in IAM domains. When your administrator has subscribed to Amazon Q Developer and added it to your domain, you can access the Amazon Q chat interface and inline code suggestions in both JupyterLab and Code Editor spaces.