Azure Stream Analytics Monitoring

Azure Stream Analytics is a cloud-based event processing platform. It allows to analyze and transform in real-time, large volumes of events coming from a wide variety of sources.

CloudMonix provides real-time monitoring and alerting for Azure Stream Analytics, to ensure all jobs are performed without issues. Additionally, it offers sophisticated auto-scaling engine that allows to adjust the number of SUs (Streaming Units) to the actual demand.

Setting up Azure Stream Analytics in CloudMonix takes just a couple of minutes, since the most important metrics, alerts and automation are preconfigured in default templates.

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Popular Ways to Utilize CloudMonix

Auto-Scaling

Ensure jobs are executed at the optimum pace. Automatically increase the number of SUs when load gets higher, and decrease after the peak is handled.

Failure Detection

Monitor the runtime status of Stream Analytics jobs. Get immediately notified about any failed jobs, function requests, conversion and runtime exceptions, and other processing failures.

Performance Monitoring

Track the key performance indicators such as rate of events and function requests. Receive notifications whenever utilization exceeds the expected threshold.

Azure Stream Analytics Monitoring and Automation

CloudMonix monitors and notifies about any runtime issues for Azure Stream Analytics Jobs. Additionally, it helps to optimize Stream Analytics usage by adjusting the number of SUs to the demand.

  • Track utilization, events processing rate, and more
  • Monitor jobs, data inputs and outputs
  • Get alerts on any failures or runtime exceptions
  • Track Azure management operations
  • Auto-scale the number of SUs based on the demand

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