Amazon SageMaker Unified Studio adds Observability for AWS Glue jobs via CloudWatch metrics

Amazon SageMaker Unified Studio adds Observability for jobs, it now displays Amazon CloudWatch metrics for AWS Glue jobs directly alongside job logs in a single, unified interface. This enhancement adds observability to SageMaker Unified Studio, enabling data engineers and ETL developers to streamline their troubleshooting processes. With this feature, teams can diagnose performance issues faster by correlating resource utilization patterns—including DPU utilization, memory consumption, CPU load, and data movement size—directly with job log output. Specific use cases include identifying compute bottlenecks, detecting memory pressure or out-of-memory conditions, optimizing resource allocation, and monitoring data pipeline performance at scale. By consolidating metrics and logs into one workspace, organizations can significantly reduce mean time to resolution (MTTR) for ETL pipeline issues and improve overall operational efficiency. This feature is available in [all AWS Regions where Amazon SageMaker Unified Studio is generally available](https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/supported-regions.html&ved=2ahUKEwibs5W0zsiTAxXkyOYEHQmvPTEQFnoECBgQAQ&usg=AOvVaw3H9HTpx1fPYLIDdE0yougk). To access CloudWatch metrics, navigate to any Glue job in SageMaker Unified Studio, open a previous job run, and select the Metrics tab to view comprehensive performance data. To learn more about Amazon SageMaker Unified Studio and this new capability, visit the [SageMaker Unified Studio page](https://aws.amazon.com/sagemaker/unified-studio/) and see the [documentation](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/smus-monitoring-jobs.html).