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Andrzej Stencel

Senior Software Engineer · Elastic

2 activities
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Andrzej Kinastowski
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Andrzej Kinatowski
Showing 6 results

Activities & events

Title & Speakers Event
Event Elastic Berlin Meetup @ Zalando: March Edition 2025-03-26
Reduced Query Times with TSDS 2025-03-26 · 19:30
Troubleshooting the OpenTelemetry Collector with Elastic 2025-03-26 · 19:00
Andrzej Stencel – Senior Software Engineer @ Elastic
ELK
Using LLMs-As-a-Judge in Search Quality 2025-03-26 · 18:30
LLM
Event Elastic Berlin Meetup @ Zalando: October Edition 2024-10-15
Evaluating Elasticsearch Nearest Neighbour Search for E-Commerce 2024-10-15 · 19:30

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.

elasticsearch nearest neighbor search knn brute force approximate nearest neighbor
Open source observability with OpenTelemetry and Elasticsearch 2024-10-15 · 19:00
Andrzej Stencel – Senior Software Engineer @ Elastic

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.

opentelemetry elasticsearch Kibana
Execution in a Vectorized Query Engine 2024-10-15 · 18:10
Bogdan Pintea – Senior Software Engineer @ Elastic

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.

elasticsearch es|ql lucene vectorisation distributed query execution
Showing 6 results