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

34m read time From infoq.com
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TranscriptBackgroundWhat Is OpenSearch?OpenSearch Cluster ArchitectureWhy Autoscale?Vertical and Horizontal ScalingHorizontally Scaling OpenSearchCluster Topologies for ScalingSummaryUpcoming Key FeaturesQuestions and Answers

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