Modern search analytics with OpenTelemetry and ES|QL
Showcasing how to turn existing OpenTelemetry traces into practical search analytics and business insight in Elastic without building a separate analytics pipeline.
How to build search analytics on Elastic using OpenTelemetry, no extra pipeline required
How to instrument your search application to use modern Open Telemetry standard to drive insights in to your search and users.
How to instrument your search API with OpenTelemetry and query it with ES|QL
Add custom attributes to OpenTelemetry spans and run six ES|QL queries that reveal your top searches, zero-result rate and slowest queries.
15 lines of click tracking code that tell you what search logs can't
Three ES|QL queries calculate click-through rate, mean reciprocal rank and click position distribution from your search click data, so you can pinpoint which queries need relevance tuning and where ranking improvements will have the most impact.
From search to checkout in 20 lines of code: building a 4-stage conversion funnel with OpenTelemetry
Add cart and purchase tracking to your search analytics pipeline and use ES|QL to answer the question every product manager asks: which search queries drive the most revenue?
Search relevance from click streams: Using Learn To Rank and behavioral signals with OpenTelemetry
Learn how to turn click streams and behavioral signals from OpenTelemetry search analytics into judgment lists, rank features and Learn To Rank models that make search relevance improve over time.
Three SLOs every search team needs: monitoring search latency, availability and quality with OpenTelemetry
Your OpenTelemetry search spans already carry the signals for SLOs, burn rate alerts, anomaly detection and incident response, and this post shows how to build all four in Elastic Observability.