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://aws.amazon.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. 

# Viewing cluster performance as queries run
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You can monitor the performance of your clusters as queries run to identify potential bottlenecks and optimize query execution. Viewing cluster performance as queries run provides a real-time view of the system-level metrics, such as CPU utilization, disk I/O, and network traffic, as well as query-level details like execution time, data processed, and query steps. The following procedures guides you through accessing and interpreting the performance metrics to effectively manage and optimize your provisioned clusters.

**To display cluster performance as queries run**

1. Sign in to the AWS Management Console and open the Amazon Redshift console at [https://console.aws.amazon.com/redshiftv2/](https://console.aws.amazon.com/redshiftv2/).

1. On the navigation menu, choose **Clusters**, then choose the cluster name from the list to open its details. The details of the cluster are displayed, which can include **Cluster performance**, **Query monitoring**, **Databases**, **Datashares**, **Schedules**, **Maintenance**, and **Properties** tabs. 

1. Choose the **Query monitoring** tab for more details. 

   For more information, see [Viewing query history data](performance-metrics-query-history.md).