In this section we would deploy an HDInsight Managed Kafka cluster with an Edge Node inside a Virtual Network and then install the Confluent Schema Registry on the Edge Node.
- Click on the Deploy to Azure Button to start the deployment process
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On the Custom deployment template populate the fields as described below. Leave the rest of their fields at their default entries
- Resource Group : Choose a previously created resource group from the dropdown
- Location : Automatically populated based on the Resource Group location
- Cluster Name : Enter a cluster name( or one is created by default)
- Cluster Login Name: Create a administrator name for the Kafka Cluster( example : admin)
- Cluster Login Password: Create a administrator login password for the username chosen above
- SSH User Name: Create an SSH username for the cluster
- SSH Password: Create an SSH password for the username chosen above
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Check he box titled "I agree to the terms and conditions stated above" and click on Purchase.
- Wait till the deployment completes and you get the Your Deployment is Complete message and then click on Go to resource.
- On the Resource group explore the various components created as part of the Deployment . Click on the HDInsight Cluster to open the cluster page.
- On the HDInsight cluster page click on the SSH+Cluster login blade on the left and get the hostname of the edge node that was deployed.
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Using an SSH client of your choice ssh into the edge node using the sshuser and password that you set in the custom ARM script.
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In the next section we would configure the Confluent Kafka Schema Registry that we installed on the edge node.
Click [Next]