Autoscale your Elastic Cloud data and machine learning nodes

Autoscaling is now available on Elastic Cloud, allowing for automatic adjustment of resource capacity in response to growing data and machine learning requirements. This feature monitors the storage utilization of Elasticsearch data nodes and memory capacity for machine learning jobs, ensuring deployment can handle expanding use cases without user intervention. Autoscaling is integrated with index lifecycle management policies and can be configured through the Elastic Cloud console, API, or CLI to set thresholds that prevent unchecked scaling. Users can enable autoscaling on new or upgraded deployments from version 7.11 or above, and Elastic Agent can be used to ingest data, triggering automatic scaling of data nodes and machine learning memory. The feature aims to optimize resource usage and costs by providing only the necessary capacity, and users can find more information or seek assistance through the Elastic Community and Discuss forums.