Amazon Redshift will no longer support the use of Python UDFs after June 30, 2026. We will start enforcing it in phases. For more information on the details of Python end of life and migration options, see the [ blog post ](https://amazonaws-china.com/blogs/big-data/amazon-redshift-python-user-defined-functions-will-reach-end-of-support-after-june-30-2026/) that was published on June 30, 2025. 

# Creating a snapshot schedule
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Amazon Redshift takes automatic, incremental snapshots of your data periodically and saves them to Amazon S3. Additionally, you can take manual snapshots of your data whenever you want. 

All snapshot tasks in the Amazon Redshift console start from the snapshot list. You can filter the list by using a time range, the snapshot type, and the cluster associated with the snapshot. In addition, you can sort the list by date, size, and snapshot type. Depending on the snapshot type that you select, you might have different options available for working with the snapshot. 

To precisely control when snapshots are taken, you can create a snapshot schedule and attach it to one or more clusters. You can attach a schedule when you create a cluster or by modifying the cluster. For more information, see [Automated snapshot schedules](working-with-snapshots.md#automated-snapshot-schedules).

**To create a snapshot schedule**

1. Sign in to the Amazon Web Services Management Console and open the Amazon Redshift console at [https://console.amazonaws.cn/redshiftv2/](https://console.amazonaws.cn/redshiftv2/).

1. On the navigation menu, choose **Clusters**, **Snapshots**, then choose the **Snapshot schedules** tab. The snapshot schedules are displayed. 

1. Choose **Add schedule** to display the page to add a schedule. 

1. Enter the properties of the schedule definition, then choose **Add schedule**. 

1. On the page that appears, you can attach clusters to your new snapshot schedule, then choose **OK**.