OpenSearch Cluster Topologies for Cost Saving Autoscaling

Amitai Stern delves into cost-saving autoscaling topologies for OpenSearch, discussing the inherent challenges of scaling unstructured data systems. He explains different architectural patterns like burst indexes and burst clusters to optimize resource use and handle fluctuating loads efficiently. Key concepts include understanding the pressures on OpenSearch clusters and implementing strategies like vertical and horizontal scaling. Future improvements in OpenSearch, including read/write separation and streaming ingestion, are also highlighted.