Cluster and task observability - Amazon SageMaker AI

Cluster and task observability

There are two options for monitoring SageMaker HyperPod clusters:

The SageMaker HyperPod observability add-on—SageMaker HyperPod provides a comprehensive, out-of-the-box dashboard that gives you insights into foundation model (FM) development tasks and cluster resources. This unified observability solution automatically publishes key metrics to Amazon Managed Service for Prometheus and displays them in Amazon Managed Grafana dashboards. The dashboards are optimized specifically for FM development with deep coverage of hardware health, resource utilization, and task-level performance. With this add-on, you can consolidate health and performance data from NVIDIA DCGM, instance-level Kubernetes node exporters, Elastic Fabric Adapter, integrated file systems, Kubernetes APIs, Kueue, and SageMaker HyperPod task operators.

Amazon CloudWatch Insights—Amazon CloudWatch Insights collects metrics for compute resources, such as CPU, memory, disk, and network. Container Insights also provides diagnostic information, such as container restart failures, to help you isolate issues and resolve them quickly. You can also set CloudWatch alarms on metrics that Container Insights collects.