![]() ![]() When to use Event Grid for event driven actions: You can then subscribe and consume events such as run status changed, run completion, model registration, model deployment, and data drift detection within a workspace. ![]() You can use Event Grid to react to Azure Machine Learning events, such as the completion of training runs, the registration and deployment of models, and the detection of data drift, by using modern serverless architectures. In this article, you learn how to set up event-driven applications, processes, or CI/CD workflows based on Azure Machine Learning events, such as failure notification emails or ML pipeline runs, when certain conditions are detected by Azure Event Grid.Īzure Machine Learning manages the entire lifecycle of machine learning process, including model training, model deployment, and monitoring. ![]()
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