newsAWS Machine LearningTrust 88 · LabPublished 1mo agoLive · 1mo ago
Monitor Amazon SageMaker Pipelines cross-account with custom Amazon CloudWatch dashboards
In this post, we present a solution designed to centralize the monitoring of SageMaker Pipelines across AWS accounts and Regions using Amazon CloudWatch custom dashboards. The accompanying GitHub repository provides a customizable AWS Cloud Development Kit (AWS CDK) example of the required infrastructure.
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- PossiblePossibly related (embedding) · 64%SuperCowPowers/workbench →
- PossiblePossibly related (embedding) · 59%aws/amazon-sagemaker-examples →
- PossiblePossibly related (embedding) · 59%aws/sagemaker-example-notebooks-testing →
- PossiblePossibly related (embedding) · 54%aws/sagemaker-python-sdk →
- PossiblePossibly related (embedding) · 53%aws/sagemaker-xgboost-container →
- PossiblePossibly related (embedding) · 54%aws-controllers-k8s/sagemaker-controller →
- PossiblePossibly related (embedding) · 52%EKKOLearnAI/hermes-studio →
- PossiblePossibly related (embedding) · 58%alben-mustafalic/automated-cybersecurity-threat-detection-system-with-aws-sagemaker →
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repoaws/sagemaker-example-notebooks-testingrepoaws-controllers-k8s/sagemaker-controllerrepoaws/sagemaker-python-sdkrepoaws/amazon-sagemaker-examplesrepoalben-mustafalic/automated-cybersecurity-threat-detection-system-with-aws-sagemakerrepoSuperCowPowers/workbenchrepoEKKOLearnAI/hermes-studiorepoaws/sagemaker-xgboost-container