What's included?
dashboards
1
Amazon Sagemaker quickstart contains 1 dashboard. These interactive visualizations let you easily explore your data, understand context, and resolve problems faster.
Amazon SageMaker
alerts
4
Amazon Sagemaker observability quickstart contains 4 alerts. These alerts detect changes in key performance metrics. Integrate these alerts with your favorite tools (like Slack, PagerDuty, etc.) and New Relic will let you know when something needs your attention.
High Memory Utilization By Endpoints
This alert is triggered when the memory Utilization by Endpoints is above 90%.
High CPU Utilization By Training Jobs
This alert is triggered when the CPU Utilization by Training Jobs is above 90%.
High CPU Utilization By Endpoints
This alert is triggered when the CPU Utilization by Endpoints is above 90%.
High Model Invocation Errors
This alert is triggered when Model Invocation errors are above 100 in 10 minutes.
documentation
1
Amazon Sagemaker observability quickstart contains 1 documentation reference. This is how you'll get your data into New Relic.
What is Amazon Sagemaker?
Amazon SageMaker is a fully managed machine learning service. With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment.
Get started!
Start monitoring Amazon Sagemaker by connecting Amazon Web Services (AWS) to New Relic! Take a look at our documentation for information on how to set up this integration.
More info
Check out the documentation to learn more about New Relic monitoring for Amazon Sagemaker.