Amazon EMR Managed Scaling is now available in 7 additional AWS regions

We are excited to announce that [Amazon EMR Managed Scaling](https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-managed-scaling.html) is now available for EMR on EC2 customers in the Asia Pacific (Malaysia, New Zealand, Taipei, Thailand), Canada West (Calgary), Mexico (Central), and US Gameday Northeast (Illinois) AWS Regions. Amazon EMR Managed Scaling automatically resizes the EC2 instances in your EMR cluster for the best performance at the lowest possible cost. With Amazon EMR Managed Scaling, you simply specify the minimum and maximum compute limits for your clusters, and Amazon EMR on EC2 automatically resizes your cluster for optimal performance and resource utilization. Amazon EMR Managed Scaling constantly monitors key workload-related metrics and uses an algorithm that optimizes the cluster size for the best resource utilization. Using this algorithm, Amazon EMR can scale the EC2 cluster up during peaks and scale it down during idle periods, reducing your costs and optimizing cluster capacity for the best performance. Amazon EMR Managed Scaling can also be used with Amazon EC2 Spot Instances, that lets you take advantage of unused EC2 capacity for a discount when compared to on-demand prices. Amazon EMR Managed Scaling is now available in all AWS commercial regions. Amazon EMR Managed Scaling is supported for Apache Spark, Apache Hive and YARN-based workloads on Amazon EMR on EC2 versions 6.14 and above. To learn more and to get started, visit the Amazon EMR Managed Scaling [user guide](https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-managed-scaling.html).