Azure HDInsight

Azure HDInsight is a full-spectrum, managed cluster platform that simplifies running big data frameworks in large volume and velocity using Apache Spark, Apache Hive, LLAP, Apache Kafka, Apache Hadoop, and more in your Azure environment. This integration helps in monitoring request throughput, message throughput, and concurrent connections in your clusters.

Metric types

For Azure HDInsight, you can collect the following metrics:

• Availability. These metrics are available in Microsoft.HDInsight/clusters namespace. For more information on supported metrics, refer to the Azure documentation.

Setup

Configure collector

Create a hosted collector if not already configured. Make sure you create the required sources in this collector.

Configure metrics collection

When you configure the Azure Metrics Source, plan your source category to ease the querying process. A hierarchical approach allows you to make use of wildcards. For example: Azure/HDInsight/Metrics.

To set up the Azure Metrics source in Sumo Logic, refer to Azure Metrics Source.

Troubleshooting

Metrics collection via Azure Metrics Source

To troubleshoot metrics collection via Azure Metrics Source, follow the instructions in Troubleshooting Azure Metrics Source.