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In this talk, we present the integration of Workload Management (WLM) and Query Insights (QI) in OpenSearch to provide workload-aware query performance insights. By treating WLM group information as a first-class attribute in Query Insights records, operators can filter, group, and analyze top queries in the context of workload isolation.
We’ll demonstrate how this integration enables clearer performance attribution, reduces manual data correlation, and supports more targeted optimization and troubleshooting workflows. Attendees will gain a practical understanding of how unifying WLM and Query Insights improves observability and operational efficiency in shared OpenSearch clusters.
Emily is a software engineer on the OpenSearch team, focusing on query performance analysis and observability, with contributions to Query Insights and Query Insights Dashboard.
Friday April 17, 2026 09:55 - 10:15 CEST Bohemia 3
