Azure HDInsight – Autoscale is now generally available
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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 only pay for what you need.
Depending on your requirements, you can choose between load-based and schedule-based auto-scaling. 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 workload is also in public preview. Read [more details.](https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-autoscale-clusters)
* HDInsight
* Features
* [ HDInsight](https://azure.microsoft.com/en-gb/products/hdinsight/)
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