Utilizing complex event processing in Azure Stream Analytics to detect anomalies and trigger detailed logging in Databricks

Setting up Azure Databricks to stream logs to Azure Event Hubs and correlate with Azure Monitor alerts for real-time analysis

Implementing a custom solution that uses Azure Functions to analyze logs in real-time and apply machine learning for prediction of failures

Configuring Azure Monitor for Databricks with a custom dashboard to visualize failure patterns and trigger in-depth analysis on demand