Experiments to analyze the utility, efficiency and effectiveness of brute force k nearest neighbor and approximate nearest neighbor algorithms available in Elasticsearch to enable Zalando's search, browse and fashion assistant capabilities.

Recognized by Gartner as a leading observability tool, Elasticsearch is not just log analytics. It has infrastructure monitoring, alerts, APM capabilities—and it's all open-source! Now with the addition of OpenTelemetry, it's even easier to onboard your telemetry data in a standard and vendor-neutral way. Join Andrzej in a technical session to discover the shortest path from zero to a fully functional open-source observability solution with the OTEK stack - OpenTelemetry, Elasticsearch and Kibana.

ES|QL is a new piped query language for Elasticsearch. It supports writing composable queries and it features a multi-staged execution. Unlike the other languages supported by Elasticsearch, ES|QL doesn't transpile to Query DSL or use the internal search client: it's based on its own stack. This comes with a sophisticated query analysis and optimisation steps, as well as parallelisation and vectorisation. This talk will give an overview of the execution flow of a query and touch on a few key implementation aspects, following the query from its first syntactic analysis down to Lucene delegation followed by returning the results back to the user, all in a distributed environment.