LF Insider: Optimizing OpenSearch Performance: Separating Search and Indexing Workloads
As OpenSearch clusters scale to meet growing data and user demands, performance bottlenecks and resource contention can limit reliability and efficiency. This microcourse introduces how workload separation and search-only mode improve OpenSearch cluster performance by isolating indexing and search tasks. Built on open source tools and real-world benchmarking, these techniques enable faster throughput, lower latency, and cost-efficient scalability for high-demand workloads.
Check out additional free content under LF Insider or Resources. For access to exclusive microlearning content (updated weekly), in addition to unlimited access to all of our e-learning courses and SkillCreds, take a look at our THRIVE-ONE Annual subscription.
