Learn how to monitor performance and resource utilization on Azure HDInsight by keeping tabs on metrics, such as CPU, memory, and network usage, to better understand how your cluster is handling your workloads and whether you have enough resources to complete the task at hand.
We are pleased to announce the general availability of the new Azure HDInsight management SDKs for .NET, Python, and Java.
As a high-availability service, Azure HDInsight ensures that you can spend time focused on your workloads, not worrying about the availability of your cluster.
Azure HDInsight offers several ways to monitor your Hadoop, Spark or Kafka clusters. They can be broken down into three main categories: cluster health and availability, resource utilization and performance, and job status and logs.
We recently introduced support for HDInsight in Azure CLI as a public preview. With the addition of the new HDInsight command group, you can now utilize all of the features and benefits that come with the familiar cross-platform Azure CLI to manage your HDInsight clusters.
Today, we are excited to announce the preview of the new Azure HDInsight Management SDK. This preview SDK brings support for new languages and can be used to easily manage your HDInsight clusters.