The integration of Azure Machine Learning with New Relic allows users to monitor their machine learning workspaces, endpoints, and deployment-related metrics in a unified dashboard, providing pre-built visualizations and troubleshooting capabilities for ML-related issues alongside other infrastructure and application telemetry. This new integration offers features such as tracking ML workspace activities, monitoring endpoint performance, getting oversight of deployments, and customizing alerts, all within a comprehensive dashboard that includes detailed views of model metrics, CPU and GPU usage per workspace, and endpoint-specific resource utilization metrics. Additionally, the integration captures logs monitoring of Azure Machine Learning models in New Relic, providing information about deployment details, endpoint-specific traffic, and latency.