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Azure HDInsight

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Azure HDInsight is a full-spectrum, managed cluster platform which 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.

Log and metric types

For Azure HDInsight, you can collect the following metrics:


Azure service sends monitoring data to Azure Monitor, which can then stream data to Eventhub. Sumo Logic supports:

You must explicitly enable diagnostic settings for each Azure HDInsight cluster that you want to monitor. You can forward metrics from multiple clusters to the same event hub provided they satisfy the limitations and permissions as described here.

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

Configure metrics collection

In this section, you will configure a pipeline for shipping metrics from Azure Monitor to an Event Hub, on to an Azure Function, and finally to an HTTP Source on a hosted collector in Sumo Logic.

  1. Configure an HTTP Source.
  2. Configure and deploy the ARM Template.
  3. Export metrics to Event Hub. Perform below steps for each Azure HDInsight cluster that that you want to monitor.
    1. Choose Stream to an event hub as destination.
    2. Select Availability.
    3. Use the Event hub namespace created by the ARM template in Step 2 above. You can create a new Event hub or use the one created by ARM template. You can use the default policy RootManageSharedAccessKey as the policy name.


HTTP Logs and Metrics Source used by Azure Functions

To troubleshoot metrics collection, follow the instructions in Collect Metrics from Azure Monitor > Troubleshooting metrics collection.

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