2024-05-07 –, Asgabat
All OpenSearch workloads are multi-tenant! Search workloads with multiple indices, languages, or customers, or logs workloads with multiple data streams, are multi-tenant. Handling that tenancy means aligning resources against data for optimal performance. Learn the strategies and solutions!
I'll cover the three main tenancy models - siloed, pooled, and hybrid. I'll cover how to implement them, and tradeoffs with each model. At large scale, tenancy becomes a burning issue. I'll talk through how to break up large, multi-tenant workloads, with the right architectures and tenant distribution. I'll also cover operationalizing your tenancy strategy with routing, isolation, tenant management, cost and resource allocation.
Jon Handler is a Senior Principal Solutions Architect on the OpenSearch Service team at Amazon Web Services, based in Palo Alto, CA. Jon works closely with OpenSearch and Amazon OpenSearch Service, providing help and guidance to a broad range of customers who have search and log analytics workloads for OpenSearch. Prior to joining AWS, Jon’s career as a software developer included four years of coding a large-scale, eCommerce search engine. Jon holds a Bachelor of the Arts from the University of Pennsylvania, and a Master of Science and a Ph. D. in Computer Science and Artificial Intelligence from Northwestern University.