Autoscale for Azure HDInsight is now in preview
Updated: May 06, 2019
The autoscale capability for Azure HDInsight is now available in preview. Autoscale automatically scales your Spark, Hive, or MapReduce HDInsight clusters up or down based on load or a pre-defined schedule.
- Load-based autoscale uses several workload-specific metrics, such as CPU and memory usage, to intelligently scale your cluster between user-configurable minimum and maximum sizes based on the load.
- Schedule-based autoscale allows you to set your own custom schedule for cluster scaling. For example, you can set your cluster to scale up to 10 nodes starting at 9:00 AM and scale back down to 3 nodes at 9:00 PM on work days.