New Azure Machine Learning integration with pre-built dashboards
Blog post from New Relic
Azure Machine Learning has been integrated with New Relic to enhance monitoring capabilities for machine learning workspaces, endpoints, and deployment metrics, focusing on performance, availability, and resource utilization. This integration provides pre-built visualizations and a unified dashboard to troubleshoot ML-related issues alongside other telemetry data. It allows users to track workspace activities, monitor endpoint performance, and oversee deployments with customization options for alerts. The dashboard includes detailed views of model metrics, job executions, CPU and GPU usage, and endpoint-specific resource utilization, while the entity explorer view captures deployment details and traffic metrics. Additionally, it offers logs monitoring, capturing details like container names and Azure Machine Learning resources. Users are encouraged to explore further by deploying the quickstart dashboard or signing up for a free account for extended data ingestion and user access.