The sections within describe techniques for integrating Azure cloud services with DataRobot:
|Run Batch Prediction jobs from Azure Blob Storage||Running Batch Prediction jobs from Azure Blob Storage with the Batch Prediction API.|
|Deploy and monitor DataRobot models in Azure Kubernetes Service||Deploying and monitoring DataRobot models on Azure Kubernetes Services (AKS) to create production scoring pipelines with the Portable Prediction Server (PPS).|
|Deploy and monitor Spark models||Deploying and monitoring Spark models in DataRobot MLOps with the monitoring agent.|
|Deploy and monitor ML.NET models||Deploying and monitoring ML.NET models in DataRobot MLOps with monitoring agent.|
|Use Scoring Code with Azure ML||Importing Scoring Code models to Azure ML to make prediction requests with Azure.|
Updated May 11, 2023
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