Now auto-terminate idle EMR clusters to lower cost
Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. Today, we are excited to announce that Amazon EMR now supports auto-terminating idle EMR clusters, a new feature that automatically terminates your EMR cluster if it has been idle, to reduce the cost without the need to manually monitor cluster activity. You can specify the idle timeout value when enabling auto-termination for both existing and new clusters and EMR will automatically terminate the cluster when it has been idle for specified time.
Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. Today, we are excited to announce that Amazon EMR now supports auto-terminating idle EMR clusters, a new feature that automatically terminates your EMR cluster if it has been idle, to reduce the cost without the need to manually monitor cluster activity. You can specify the idle timeout value when enabling auto-termination for both existing and new clusters and EMR will automatically terminate the cluster when it has been idle for specified time.
With this feature, EMR continuously samples key metrics associated with the workloads running on the clusters, and auto-terminates when the cluster is idle. This feature is available when launching EMR clusters from EMR Console, AWS CLI, and AWS SDK.
Auto-termination of idle EMR clusters is available on Amazon EMR release version 5.30.0 and 6.1.0 and later. You can use this feature across 16 regions globally: US East (Ohio), US East (N. Virginia), US West (Oregon), US West (N. California), Canada (Central), Europe (Ireland), Europe (Frankfurt), Europe (London), Europe (Paris), Europe (Stockholm), South America (São Paulo), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), and Asia Pacific (Tokyo).
To get started, read our auto-terminating idle EMR clusters documentation here.