Automate machine-learning model monitoring with New Relic One and DAGsHub

Integrating DAGsHub with New Relic One provides a seamless way to monitor, visualize, analyze, and synchronize model experiments through machine learning, allowing data scientists and machine learning engineers to set alerts, create custom visualizations, and track performance in real-time. The integration enables versioning of data, models, experiments, and code, making it easy to share, review, and reuse work like GitHub but with a focus on data science and machine learning models. By setting up the integration, users can monitor experiment performance in real-time, set alerts on specific behavior, receive notifications through various channels, and customize data visualizations, resulting in more efficient workflows and extended visibility into ML-powered applications.

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