Monitoring on Azure HDInsight part 4: Workload metrics and logs
This is the fourth blog post in a four-part series on monitoring on Azure HDInsight. Monitoring on Azure HDInsight Part 1: An Overview discusses the three main monitoring categories: cluster health and availability, resource utilization and performance, and job status ... continue reading
Monitoring on Azure HDInsight Part 3: Performance and resource utilization
This is the third blog post in a four-part series on Monitoring on Azure HDInsight. Part 1 is an overview that discusses the three main monitoring categories: cluster health and availability, resource utilization and performance, and job status and logs ... continue reading
Manage Azure HDInsight clusters using .NET, Python, or Java
We are pleased to announce the general availability of the new Azure HDInsight management SDKs for .NET, Python, and Java. Highlights of this release More languages: In addition to .NET, you can now easily manage your HDInsight clusters using Python ... continue reading
Monitoring on Azure HDInsight Part 2: Cluster health and availability
This is the second blog post in a four-part series on Monitoring on Azure HDInsight. "Monitoring on Azure HDInsight Part 1: An Overview" discusses the three main monitoring categories: cluster health and availability, resource utilization and performance, and job status ... continue reading
Monitoring on Azure HDInsight Part 1: An Overview
Azure HDInsight offers several ways to monitor your Hadoop, Spark, or Kafka clusters. Monitoring on HDInsight can be broken down into three main categories: Cluster health and availability Resource utilization and performance Job status and logs Two main monitoring tools ... continue reading