Azure HDInsight—Autoscale is now generally available
Updated: 07 November, 2019
Autoscale for Azure HDInsight is now generally available across all regions for Apache Spark and Hadoop workloads. This feature makes it possible to operate your big data analytics workloads in a more cost-efficient and productive way, so you can drive higher use of your HDInsight clusters and pay only for what you need.
Depending on your requirements, you can choose between load-based and schedule-based autoscaling. Load-based Autoscale can scale the cluster size up and down based on the current resource needs while schedule-based Autoscale can change the cluster size based on the predefined schedule.
Autoscale support for HBase and LLAP worload is also public preview. Read more details.