BEGIN:VCALENDAR
VERSION:2.0
X-WR-CALNAME:opensearchconeu2026
X-WR-CALDESC:Event Calendar
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//Sched.com OpenSearchCon Europe 2026//EN
X-WR-TIMEZONE:UTC
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T060000Z
DTEND:20260416T070000Z
SUMMARY:Meet the Ambassadors + Attendee Breakfast
DESCRIPTION:Join us for a Meet the Ambassador's Breakfast on Day 1 of OpenSearchCon Europe. Learn about our current Ambassadors.&nbsp\;\n\nLight breakfast will be provided.&nbsp\;
CATEGORIES:BREAKS + NETWORKING + SPECIAL EVENTS
LOCATION:Main Foyer\, Prague\, Czechia
SEQUENCE:0
UID:1ee029971d1618b1e4a2f7c9a6d17068
URL:http://opensearchconeu2026.sched.com/event/1ee029971d1618b1e4a2f7c9a6d17068
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T060000Z
DTEND:20260416T173000Z
SUMMARY:Coat + Bag Check
DESCRIPTION:\n
CATEGORIES:REGISTRATION + BADGE PICK-UP
LOCATION:Studio A\, Prague\, Czechia
SEQUENCE:0
UID:cbd62a5cbade53105dc05ced86e712e5
URL:http://opensearchconeu2026.sched.com/event/cbd62a5cbade53105dc05ced86e712e5
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T060000Z
DTEND:20260416T170000Z
SUMMARY:Registration + Badge Pick-up
DESCRIPTION:
CATEGORIES:REGISTRATION + BADGE PICK-UP
LOCATION:Main Foyer\, Prague\, Czechia
SEQUENCE:0
UID:5c47eb97ae323143219043baa587e81f
URL:http://opensearchconeu2026.sched.com/event/5c47eb97ae323143219043baa587e81f
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T070000Z
DTEND:20260416T070500Z
SUMMARY:Keynote: Opening Remarks - Bianca Lewis\, Executive Director\, OpenSearch Software Foundation\, The Linux Foundation
DESCRIPTION:\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:721d81165d9333a8471df194c35615c8
URL:http://opensearchconeu2026.sched.com/event/721d81165d9333a8471df194c35615c8
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T070500Z
DTEND:20260416T073000Z
SUMMARY:Keynote: OpenSearch in the Agentic Era - Carl Meadows\, Director of Product for Amazon OpenSearch Services and the OpenSearch Project\, Amazon Web Services
DESCRIPTION:Join Carl Meadows\, Chair of the OpenSearch Software Foundation Governing Board and OpenSearch Product Lead for Amazon Web Services\, as he explores how OpenSearch is leading the transformation to agentic AI.&nbsp\;\n\nDiscover how OpenSearch's vector database foundation and open-source community uniquely position the project for the agentic era. Carl will reveal how AI agents are democratizing search development—enabling developers to build production-ready applications in minutes without specialized expertise—and transforming observability for AI-powered systems.\n\nWith a growing base of contributors and accelerating momentum in 2026\, the OpenSearch community continues to drive innovation. Carl will welcome new OpenSearch Software Foundation members\, unveil new agentic tools\, and share his vision for how OpenSearch is empowering builders to accelerate development\, unlock new capabilities\, and deliver the next generation of AI-powered search and observability solutions.\n\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:b12215e2948fa02c9fad170ed0ece41a
URL:http://opensearchconeu2026.sched.com/event/b12215e2948fa02c9fad170ed0ece41a
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T073000Z
DTEND:20260416T080000Z
SUMMARY:Keynote: The Next Generation of Enterprise Search: Intent‑Aware\, Hybrid\, and Open - Dom Couldwell\, Product Manager for OpenSearch\, IBM
DESCRIPTION:Enterprise search is undergoing a fundamental shift. As user expectations rise and AI agents increasingly become primary consumers of search\, the challenge is no longer simply finding information—but delivering the right context to drive better decisions\, actions\, and business outcomes. This keynote explores how enterprise search is evolving from keyword retrieval toward intent‑aware\, adaptive systems that balance relevance\, explainability\, governance\, and cost. \n\nDrawing on IBM’s long‑standing commitment to open source and its growing leadership in the OpenSearch community\, we present a practical framework for next‑generation enterprise search built around three forms of intent: query intent\, journey intent\, and product intent. We examine why “more AI” or vector‑only approaches are often insufficient\, how traditional lexical techniques remain critical when blended with semantic search\, and why understanding exploration versus exploitation is essential for designing effective search journeys and measuring ROI.\n \nThe session highlights how OpenSearch enables smarter context through hybrid retrieval\, dynamic relevance\, and observable\, explainable pipelines—capabilities that are increasingly critical as search moves from human interfaces to agent‑driven experiences. We also explore emerging community trends\, including agent builders and teams migrating from vector‑only systems\, and preview upcoming OpenSearch innovations that support AI‑native\, governed\, and cost‑efficient enterprise search.\n \nAttendees will leave with a clear mental model for modern enterprise search\, actionable guidance for balancing innovation with fundamentals\, and an understanding of why OpenSearch—developed in the open—plays a foundational role in the future of enterprise and agentic search.
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:ede732c4650b60050c0aad4e88e9e157
URL:http://opensearchconeu2026.sched.com/event/ede732c4650b60050c0aad4e88e9e157
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T080000Z
DTEND:20260416T080500Z
SUMMARY:All-Attendee Photo 📸
DESCRIPTION:Smile for the camera! 📸 \nJoin our all-attendee photo immediately following Keynotes on Day 1\, 16 April.&nbsp\;
CATEGORIES:BREAKS + NETWORKING + SPECIAL EVENTS
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:241a8f0fab99733ca863bcd46337db48
URL:http://opensearchconeu2026.sched.com/event/241a8f0fab99733ca863bcd46337db48
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T080000Z
DTEND:20260416T082000Z
SUMMARY:Break
DESCRIPTION:
CATEGORIES:BREAKS + NETWORKING + SPECIAL EVENTS
LOCATION:Main Foyer\, Prague\, Czechia
SEQUENCE:0
UID:fb0dba0af23be58939f2790519fa1802
URL:http://opensearchconeu2026.sched.com/event/fb0dba0af23be58939f2790519fa1802
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T080000Z
DTEND:20260416T172000Z
SUMMARY:Solutions Showcase
DESCRIPTION:\n
CATEGORIES:SOLUTIONS SHOWCASE
LOCATION:Main Foyer\, Prague\, Czechia
SEQUENCE:0
UID:b7bda6e1e88d8dc4a8c335f0d2484a22
URL:http://opensearchconeu2026.sched.com/event/b7bda6e1e88d8dc4a8c335f0d2484a22
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T082000Z
DTEND:20260416T090000Z
SUMMARY:Beyond Hot Spots: Revolutionising OpenSearch Performance Through Heat-Aware Operations - Gaurav Bafna & Arpit Bandejiya\, Amazon
DESCRIPTION:In large-scale OpenSearch clusters\, uneven workload distribution creates performance bottlenecks that traditional shard allocation strategies can't address. We present a groundbreaking approach to cluster optimisation through heat-aware operations\, transforming how OpenSearch handles resource utilisation and workload distribution.\n \n Our solution introduces a smart heat detection system that monitors cluster health across multiple dimensions - CPU\, memory\, I/O\, and query patterns. By analysing both node and shard-level metrics using statistical methods\, we can identify and classify various patterns of resource imbalance.\n \n Key innovations include:\n 🔹 Multi-dimensional heat scoring for precise hotspot detection\n 🔹 Pattern recognition for automated root cause analysis\n 🔹 Intelligent rebalancing recommendations\n 🔹 Predictive scaling suggestions\n \n Through real-world examples\, we'll demonstrate how this system:\n - Reduces query latency \n - Optimises resource utilisation across clusters\n - Prevents cascading performance issues\n - Enables proactive capacity planning\n \n Join us to explore how heat-aware operations are setting new standards for OpenSearch cluster performance and reliability.
CATEGORIES:ANALYTICS + SECURITY + OBSERVABILITY
LOCATION:Bohemia 1\, Prague\, Czechia
SEQUENCE:0
UID:709d7ce6d7a43feb282d84f2345f4a39
URL:http://opensearchconeu2026.sched.com/event/709d7ce6d7a43feb282d84f2345f4a39
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T082000Z
DTEND:20260416T090000Z
SUMMARY:Building RAG With OpenSearch ML Plugins: From PDFs To Voice-Enabled Search - Kushagra Sharma\, Genesys
DESCRIPTION:OpenSearch's ML Commons plugin enables deploying embedding models directly on your cluster—yet many developers still rely on external services. This session demonstrates building a complete RAG system using OpenSearch as both vector store and ML inference engine.\n \n We'll cover deploying sentence-transformer models via ML Commons\, processing PDFs\, generating embeddings within OpenSearch\, configuring knn_vector indices\, and implementing semantic search. The highlight: voice search using local Whisper (STT) model creating a fully self-contained system.\n \n What I hope to achieve: Share practical patterns for leveraging OpenSearch's ML capabilities and gather community feedback.\n \n What attendees gain: Step-by-step knowledge to deploy ML models on OpenSearch\, build RAG pipelines\, and integrate local voice processing—reproducible techniques they can apply immediately.\n \n How this helps the ecosystem: Showcases OpenSearch's native ML features\, reducing dependency on external services. Demonstrates OpenSearch as a complete AI platform\, not just a search engine.\n \n Target audience: Developers building RAG applications\, OpenSearch operators exploring ML capabilities.
CATEGORIES:OPERATING OPENSEARCH
LOCATION:Bohemia 3\, Prague\, Czechia
SEQUENCE:0
UID:d3fda5090f7f7662b9fd11e35eb36b06
URL:http://opensearchconeu2026.sched.com/event/d3fda5090f7f7662b9fd11e35eb36b06
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T082000Z
DTEND:20260416T090000Z
SUMMARY:Beyond Benchmarks: Real-World AI Search Performance in OpenSearch (Lucene Vs Faiss Vs JVector) - Fernando Rejon Barrera\, Zeta Alpha
DESCRIPTION:Benchmarks produce clean numbers - but do they reflect what actually happens when users apply filters\, facets\, and hybrid queries in realistic document collections in production?\n \n In this session\, we evaluate the real-world performance of three vector search options available to OpenSearch users: Lucene’s built-in HNSW\, the Faiss engine integration\, and jVector\, an open-source vector search plugin. While all engines publish compelling benchmark results and advertise strong scalability\, most existing comparisons focus on isolated ANN performance rather than realistic query patterns.\n \n Using identical datasets\, queries\, and filter selectivity\, we examine how latency\, recall\, and throughput change once Boolean filters\, aggregations\, and hybrid retrieval are introduced. We break down where performance differences originate inside OpenSearch - including index construction behavior\, memory usage\, concurrency\, and merge strategies.\n \n Attendees will leave with practical guidance on when each engine is the right default choice\, how to interpret vendor and community benchmarks critically\, and how to design vector search evaluations that reflect real production systems.
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:f4e6419b92ac2c273bf8480c9df4e8ac
URL:http://opensearchconeu2026.sched.com/event/f4e6419b92ac2c273bf8480c9df4e8ac
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T091000Z
DTEND:20260416T095000Z
SUMMARY:Ingesting Observability Data: OpenTelemetry Collector or Data Prepper? - Karsten Schnitter\, SAP SE
DESCRIPTION:Choosing the right ingestion tool for OpenSearch is a critical architectural decision. Should you use the OpenTelemetry Collector or Data Prepper? This session provides a definitive guide to answering that question\, helping you design a pipeline that is both powerful and efficient. This talk moves beyond theory into a practical comparison of design philosophies. We'll contrast the Collector's strength as a universal\, lightweight agent with a vast component ecosystem\, against Data Prepper's role as a purpose-built pipeline engine\, optimized for powerful transformations and accessible stateful processing. To make this concrete\, the session will showcase the setup of a complete hybrid pipeline\, walking through the necessary configurations. We will then deconstruct a real-world APM pipeline architecture to show how Collector and Data Prepper fulfill distinct roles in processing data before it reaches OpenSearch. You'll leave with a clear decision framework\, proven architectural patterns\, and a blueprint for building your own scalable observability pipelines.
CATEGORIES:ANALYTICS + SECURITY + OBSERVABILITY
LOCATION:Bohemia 3\, Prague\, Czechia
SEQUENCE:0
UID:006d5074ae86980cc20b600b2f4969ba
URL:http://opensearchconeu2026.sched.com/event/006d5074ae86980cc20b600b2f4969ba
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T091000Z
DTEND:20260416T093000Z
SUMMARY:Running OpenSearch in the Real World: Migration\, Mistakes and Maturity - Tom Snuverink & Marco Arts\, Schuberg Philis
DESCRIPTION:This talk shares a hands-on journey of building and operating a large-scale OpenSearch platform in a strictly on-premises\, VM-based environment. What started as an urgent Splunk replacement evolved into a Managed Detection and Response (MDR) logging platform for high ingestion rates (~40GB to 1.2TB/day&nbsp\;per customer).&nbsp\;\nThe session focuses on real operational challenges and experiences: sizing and sharding decisions\, gaps in official documentation\, and the realities of owning OpenSearch end-to-end. Initially using Terraform to deploy and manual bootstrapping.The talk includes a migration failure story from our biggest cluster\, caused by accidental double ingestion\, bad sizing and snapshot-induced OOMs.At the end we have automated deployments\, bootstrapping\, ISM\, snapshots\, tiering\, SSO-based access control\, searchable-snapshots(on-prem S3) and automation. Due to limitations in ISM we built a custom lifecycle automation script via an operator-like pipeline and an opensearchcli binary.Attendees gain a realistic view of running OpenSearch at scale on-prem\, including lessons learned the hard way.
CATEGORIES:OPERATING OPENSEARCH
LOCATION:Bohemia 1\, Prague\, Czechia
SEQUENCE:0
UID:a70daa9608cdbd8c48774608ec50331c
URL:http://opensearchconeu2026.sched.com/event/a70daa9608cdbd8c48774608ec50331c
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T091000Z
DTEND:20260416T095000Z
SUMMARY:From Embeddings To Index: A Practitioner's Guide To Domain-Adapted Neural Search - Samuel Herman\, Oracle
DESCRIPTION:Off-the-shelf embedding models underperform on domain-specific queries\, and "just fine-tune it" fails for proprietary terminology. Why? Standard fine-tuning can't teach models vocabulary they've never seen. The embedding gap costs 40-60% of search relevance\; while ANN indexing only costs 1-5%. In this talk\, we'll walk through end-to-end domain-adapted neural search—from embedding adaptation to index optimization. We'll examine a multi-stage pipeline (vocabulary extension → domain warmup → dictionary pre-training → multi-objective fine-tuning) with experiments showing each stage's impact. But embedding adaptation is half the battle. When embeddings change\, what happens to your index? We'll explore when changes require full rebuilds versus adaptive quantization—a mechanism using reconstruction error tracking to maintain optimal compression without costly rebuilds. Attendees will learn why fine-tuning fails\, diagnostic frameworks for embedding quality\, and practical strategies for continuously-updated production indices.
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:d98a22806a426f65fb06a5cff6dba551
URL:http://opensearchconeu2026.sched.com/event/d98a22806a426f65fb06a5cff6dba551
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T100000Z
DTEND:20260416T102000Z
SUMMARY:A Brief Guide to Secure Agentic Knowledge Retrieval - Christian Gross\, RheinInsights GmbH
DESCRIPTION:Agents and AI systems require answers that are reliable\, precise and fast. In enterprise and organizational environments\, these answers also must be secure. In fact\, vector databases and search engines provide rapid access to knowledge. But a key challenge remains: how to correctly apply the permission models of underlying content sources within hybrid and semantic search workflows?This presentation outlines how organizational knowledge can be securely integrated into OpenSearch. We will walk through how permissions need to be modeled\, how authentication can be applied\, and how these constraints propagate through the search and retrieval pipeline. In addition\, we will show how prompt and query preprocessing can improve reliability and precision\, particularly for agentic and AI‑driven use cases.
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 1\, Prague\, Czechia
SEQUENCE:0
UID:1c5f456dcae82c015b8652f4e8222343
URL:http://opensearchconeu2026.sched.com/event/1c5f456dcae82c015b8652f4e8222343
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T100000Z
DTEND:20260416T102000Z
SUMMARY:Late Interaction Retrieval in Practice: Implications for OpenSearch-Based Search Systems - Francisco Losada de la Rosa\, AWS
DESCRIPTION:Dense vector retrieval based on single embeddings has become the default approach for semantic search\, but it introduces well-known limitations when dealing with long documents\, fine-grained relevance signals\, or complex queries. Late interaction retrieval models address these issues by allowing queries and documents to interact at a more granular level\, typically across token-level or sub-vector representations\, while remaining more scalable than full cross-encoders.\n \n This session explores late interaction models from a systems and search-engine perspective\, focusing on what it would take to support them efficiently in OpenSearch-based architectures. It discusses indexing and storage strategies for multi-vector representations\, candidate generation and pruning techniques\, and the role of late interaction scoring as an intermediate stage between first-pass retrieval and full reranking. The talk emphasizes practical trade-offs in latency\, memory\, and relevance\, and outlines how late interaction models could complement existing lexical\, neural sparse\, and dense vector approaches in production OpenSearch deployments.
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 3\, Prague\, Czechia
SEQUENCE:0
UID:bb142779c573ca5fedc9ad9581d51715
URL:http://opensearchconeu2026.sched.com/event/bb142779c573ca5fedc9ad9581d51715
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T100000Z
DTEND:20260416T102000Z
SUMMARY:Building an Inclusive\, Diverse Community From the Ground Up - Kassian Wren\, NetApp Instaclustr
DESCRIPTION:In this session\, I'll cover the basics of building a diverse and inclusive community\, either around new projects or creating safe spaces for projects that don't have one.\n \n Inclusivity and equity and the keys to diversity\, and science has shown time and again that diverse teams create better solutions. It's imperative especially now that we build community both in and out of software.\n \n This talk will cover why community is important\, how to jumpstart a community\, and how to deal with growth and conflict.
CATEGORIES:SECURITY EDUCATION & COMMUNITY DEVELOPMENT
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:7cb3edfef2313a22b1008924eef36084
URL:http://opensearchconeu2026.sched.com/event/7cb3edfef2313a22b1008924eef36084
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T102000Z
DTEND:20260416T113000Z
SUMMARY:Better Together Lunch Group
DESCRIPTION:About the Better Together Lunch Group \nThe Better Together Lunch Group offers an opportunity for all event participants from underrepresented or marginalized communities (including race\, gender\, sexual orientation\, and disability)\, along with their allies\, to come together and build meaningful connections that extend beyond the event. We hope that this gathering will help foster greater representation and inclusion both at the event and in the open source community over time.\n\n Who Can Attend? \nAny event participant from an underrepresented or marginalized community (including race\, gender\, sexual orientation\, and disability) and their ally guests. \n\n Grab your lunch and meet us at the reserved tables!
CATEGORIES:BREAKS + NETWORKING + SPECIAL EVENTS
LOCATION:Moravia 1-3\, Prague\, Czechia
SEQUENCE:0
UID:eaebaf6a09d613146d4782a6f889b05d
URL:http://opensearchconeu2026.sched.com/event/eaebaf6a09d613146d4782a6f889b05d
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T102000Z
DTEND:20260416T113000Z
SUMMARY:Lunch
DESCRIPTION:
CATEGORIES:BREAKS + NETWORKING + SPECIAL EVENTS
LOCATION:Moravia 1-3\, Prague\, Czechia
SEQUENCE:0
UID:340b40599c20199751e9a8cac8734a2c
URL:http://opensearchconeu2026.sched.com/event/340b40599c20199751e9a8cac8734a2c
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T102000Z
DTEND:20260416T113000Z
SUMMARY:Search TAG Working Lunch
DESCRIPTION:Grab your lunch and join our Search TAG. See you there!&nbsp\;
CATEGORIES:BREAKS + NETWORKING + SPECIAL EVENTS
LOCATION:Studio G\, Prague\, Czechia
SEQUENCE:0
UID:95ce9530215fb0bbfda36929c62c46d7
URL:http://opensearchconeu2026.sched.com/event/95ce9530215fb0bbfda36929c62c46d7
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T113000Z
DTEND:20260416T121000Z
SUMMARY:Enabling Secure\, Fine-Grained Resource Sharing for Team Collaboration in OpenSearch - Darshit Chanpura & Craig Perkins\, Amazon
DESCRIPTION:Before OpenSearch 3.1\, plugins hand-rolled document-level access control\, duplicating effort and creating inconsistent security behavior and user experiences. Even basic collaboration required security administrators to act as intermediaries.\n \n To address this\, OpenSearch introduced the Resource Sharing Framework\, enabling secure\, fine-grained\, owner-driven sharing of plugin resources while complementing role-based access control. Since its introduction\, the framework has evolved through OpenSearch 3.4 with more plugins onboarded\, refined permission scopes\, improved APIs\, and operational hardening.\n \n This session explains how the framework extends the Security plugin to protect high-level resources\, allow owners (or full-access users) to grant and revoke per-user or per-role access at action-group granularity\, and perform permission checks using standardized Java and REST APIs. You’ll see how the Anomaly Detection plugin adopts the framework to enable Google-Docs-style sharing without admin overhead. Attendees will leave with a practical migration blueprint for retiring bespoke access-control schemes and delivering a consistent\, secure collaboration experience across plugins.
CATEGORIES:ANALYTICS + SECURITY + OBSERVABILITY
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:ad5b563d9c60de782dda1595bf4890fc
URL:http://opensearchconeu2026.sched.com/event/ad5b563d9c60de782dda1595bf4890fc
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T113000Z
DTEND:20260416T121000Z
SUMMARY:Apache Lucene Vector Search Update - Michael Sokolov\, Amazon
DESCRIPTION:Lucene Vector Search Update\n \n There have been a lot of exciting developments in Lucene's vector search implementation recently: so many it's hard to keep track. This talk will survey all the many contributions that have come in over the last year or two\, give examples of how to make use the new capabilities\, and point the way for future work in this area.\n \n Some of the specific topics may include:\n \n * seeded search (start graph walk from a known point)\n * optimistic search (safe pro-rating for efficient multi-segment search)\n * Acorn-based search (more efficient application of filters)\n * advances in quantization\n * efficient indexing using binary partitioning over vector fields\n * more efficient merging: finally\, we can re-use information from graphs in existing segments and don't have to start from scratch\n * proposed integrations: FAISS\, CUVS\, DiskANN\n \n We'll dive more deeply into some selected topics\, but the general idea is to convey the breadth of activity and the diversity of contributors.
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 3\, Prague\, Czechia
SEQUENCE:0
UID:9bb97759b42a7c818bbbb64158475617
URL:http://opensearchconeu2026.sched.com/event/9bb97759b42a7c818bbbb64158475617
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T113000Z
DTEND:20260416T133000Z
SUMMARY:Unconference - Part 1
DESCRIPTION:It’s safe to say Unconference is now an OpenSearchCon tradition. Each time the community gets together for this event\, we learn from one another in an engaging environment with interesting talks and open discussions.Make plans to join us again and come ready to pitch your favorite speaking topic! This is an opportunity for the community to come together and kick off OpenSearchCon Europe with an action-packed morning of sharing and discovery. With no pre-planned talks\, what you want to hear about will be determined by you and your fellow conference-goers.Attendees/SpeakersThis is a first-come\, first-served event\; the room holds up to 75 individuals and anyone registered for OpenSearchCon is welcome to attend until the room is full. We advise you to show up a little early to make sure you get your spot.Each speaker has 15 minutes to do with as they see fit! Want to talk for 10 minutes and have 5 minutes of questions? Great! Have a lot to say and want to talk for the whole 15? That works too! Are you a maintainer and want to hold a lightning round of questions with the audience? Fantastic! You get the picture. Just be mindful of your 15 minutes!Voting- At 13:30\, each attendee will receive a card and three gold-star stickers. Those who would like to give a talk will write their title and brief description on the card\, put their name on the back\, and post them to the board for voting.- At 13:45\, you’ll have 15 minutes to walk the board and place a gold star on one of the talks you would like to hear. One rule: please do not vote for yourself.- At 14:00\, our host\, Kris Freedain\, and a lucky volunteer will collect and sort the cards\, then select the day’s talks from the cards receiving the most votes while ensuring the widest arrangement of topics are covered.PresentationsAt 14:15\, we will return the cards to the wall in the order each talk will be given. Be ready to talk and participate! This year\, we have time saved for additional presentations from 15:50-16:30 during&nbsp\;Unconference - Part 2.\n
CATEGORIES:UNCONFERENCE
LOCATION:Bohemia 1\, Prague\, Czechia
SEQUENCE:0
UID:1bc8933d81fc2b72d76127a7b2feeb9f
URL:http://opensearchconeu2026.sched.com/event/1bc8933d81fc2b72d76127a7b2feeb9f
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T122000Z
DTEND:20260416T124000Z
SUMMARY:Vendor-Agnostic Analytics: Querying Open Columnar Formats With OpenSearch - Bharathwaj G & Arpit Bandejiya\, Amazon Web Services
DESCRIPTION:OpenSearch users increasingly need flexibility in how and where their data is stored - querying data in cloud object storage without re-ingestion\, sharing datasets across analytics tools and engines\, or migrating between platforms without costly ETL pipelines.\n \n This session presents a technical deep dive into how OpenSearch can now support indexing and querying vendor-agnostic open formats natively with the new multi-engine composable architecture. \n \n The presentation covers how the composable storage layer abstracts format-specific details while maintaining query performance. We'll explore schema management across formats\, predicate pushdown to minimize data scanning\, and how still existing indices like Lucene can act as layer on top of open formats as secondary indices for accelerated filtering.\n \n Through real-world scenarios and querying production data alongside cold-tier archives in object storage\, sharing datasets with other analytics engines\, and leveraging specialized formats like Lance for vector workloads or Parquet / Vortex for high-compression analytics\, we demonstrate how open format support delivers data portability\, interoperability\, and freedom from lock-in.
CATEGORIES:ANALYTICS + SECURITY + OBSERVABILITY
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:49fc3dc58da701d7c031b5c51e73da12
URL:http://opensearchconeu2026.sched.com/event/49fc3dc58da701d7c031b5c51e73da12
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T122000Z
DTEND:20260416T124000Z
SUMMARY:Distributed OpenSearch Monitoring at Scale With Apache NiFi and MiNiFi Agents - Vincenzo Lombardo\, Seacom
DESCRIPTION:As OpenSearch clusters grow beyond 10–20 nodes\, centralized monitoring becomes a bottleneck: single points of failure\, API overload\, and higher latency. Traditional approaches don’t scale.\n \n This session presents a production-ready distributed monitoring architecture using Apache NiFi and MiNiFi. MiNiFi agents on each node collect local metrics via a custom NodeStatsProcessor (CPU\, heap\, JVM\, I/O\, thread pools)\, while central NiFi collectors aggregate and deduplicate cluster-wide metrics using a custom ClusterStatsProcessor and forward them to OpenSearch.\n \n Results include linear scalability\, sub-millisecond node metrics\, HA\, and minimal overhead. Key insights: separating local vs cluster-wide collection\, deployment patterns (bare metal\, VMs\, containers)\, HA strategies with multiple NiFi collectors\, and lessons from production clusters of 10–50+ nodes processing millions of metrics daily with 99.9% reliability.\n \n Ideal for OpenSearch operators managing 10+ nodes\, platform engineers building observability pipelines\, and anyone hitting centralized monitoring limits. Walk away with a distributed architecture you can implement immediately.
CATEGORIES:OPERATING OPENSEARCH
LOCATION:Bohemia 3\, Prague\, Czechia
SEQUENCE:0
UID:ab2ece6e76afca01ea873298e4ffd699
URL:http://opensearchconeu2026.sched.com/event/ab2ece6e76afca01ea873298e4ffd699
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T125000Z
DTEND:20260416T133000Z
SUMMARY:Agentic Relevance Tuning With OpenSearch: Faster\, Easier\, and Higher Quality Search at Scale - Bobby Mohammed\, Amazon Web Services & Daniel Wrigley\, OpenSource Connections
DESCRIPTION:Search relevance tuning is one of the hardest—and most expensive—problems in modern search systems. It demands deep expertise in Lucene scoring\, complex query DSLs\, and iterative manual testing. While tools like OpenSearch User Behavior Insights (UBI) and the Search Relevance Workbench provide the data and the environment for improvement\, the leap from "analyzing data" to "deploying a fix" remains a significant hurdle for many search engineers. In this session\, we introduce Agentic Relevance Tuning (ART)—an end-to-end framework that uses LLM-powered agents to automate the full relevance lifecycle in OpenSearch. ART replaces time consuming manual workflows with a coordinated system of specialized agents that continuously detect relevance issues\, hypothesize improvements\, and orchestrate offline and online evaluation. By combining OpenSearch’s relevance tooling with the reasoning and orchestration capabilities of agents\, ART transforms relevance tuning into a faster\, more accurate\, and more accessible process—enabling both beginner and expert search engineers to ship better search experiences to their customers.
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 3\, Prague\, Czechia
SEQUENCE:0
UID:12450b0b003e3938bf5514db2a1c9a1b
URL:http://opensearchconeu2026.sched.com/event/12450b0b003e3938bf5514db2a1c9a1b
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T125000Z
DTEND:20260416T133000Z
SUMMARY:Integrating Docling With OpenSearch for Advanced RAG and Agentic Applications - Cesar Berrospi Ramis\, IBM Research
DESCRIPTION:This talk introduces Docling\, an open-source document processing framework\, and its integration with OpenSearch for production-ready AI applications. Docling converts complex documents such as PDFs\, DOCX\, and PPTX into structured\, AI-ready formats while preserving layout\, tables\, images\, and metadata for high-quality Retrieval-Augmented Generation (RAG). Docling is supported by the LF AI & Data Foundation.\n The session presents practical integration patterns for advanced search applications. We showcase a multimodal RAG architecture built with Docling and OpenSearch. By combining Docling’s document conversion with OpenSearch’s vector and metadata search\, we enable visually grounded RAG systems where users can verify AI-generated answers in the source documents. Documents can be indexed by running Docling externally or by invoking Docling within an OpenSearch ingest pipeline using the Docling Java API. We also demonstrate an agentic application using OpenSearch agentic search and Docling MCP for document understanding and information extraction.\n Attendees will learn how these integrations simplify document ingestion and enable accurate and explainable AI applications.
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:d55fe342d1c2e4a57fa4ecb2111da687
URL:http://opensearchconeu2026.sched.com/event/d55fe342d1c2e4a57fa4ecb2111da687
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T133000Z
DTEND:20260416T135000Z
SUMMARY:Break
DESCRIPTION:
CATEGORIES:BREAKS + NETWORKING + SPECIAL EVENTS
LOCATION:Main Foyer\, Prague\, Czechia
SEQUENCE:0
UID:e8205ba015e6c9928d66d5a6bdd9d096
URL:http://opensearchconeu2026.sched.com/event/e8205ba015e6c9928d66d5a6bdd9d096
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T135000Z
DTEND:20260416T143000Z
SUMMARY:Accelerating Aggregations with Lucene-Aware Execution in OpenSearch - Ankit Jain\, Amazon Web Services
DESCRIPTION:Aggregation performance in OpenSearch is often limited by JVM execution overhead rather than aggregation logic itself. Most queries process documents at a time (DAAT) through Lucene collectors and rely on deep virtual call chains\, which restrict JIT optimizations and waste CPU resources at scale. \n \nThis talk explores how Lucene-aware\, bulk-oriented execution can significantly speed up aggregation processing. We will show how batching document processing\, simplifying collector and doc values access patterns\, and reducing virtual method dispatch lead to more JVM-friendly execution paths. We will also touch on how Lucene skip indexes built on sorted doc values can be used to skip or bulk-process ranges of documents during aggregation\, reducing unnecessary work when data can be summarized at a higher level. \n \nUsing real OpenSearch aggregation pipelines as examples\, the session presents early performance results and discusses practical trade-offs when moving from fine-grained per-document logic to bulk processing. The talk is aimed at engineers working on search engines\, Lucene-based systems\, or JVM performance.
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:fb16f3cd692247741d9ad8cb8214cf74
URL:http://opensearchconeu2026.sched.com/event/fb16f3cd692247741d9ad8cb8214cf74
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T135000Z
DTEND:20260416T143000Z
SUMMARY:Vectors Vs. Hallucinations: OpenSearch's GenAI Survival Kit - Neel Shah\, StackGen & Laysa Uchoa\, Independent
DESCRIPTION:GenAI hallucinations plague production apps\, but OpenSearch's vector search and hybrid retrieval turn unreliable LLMs into precision engines. This talk unveils battle-tested RAG pipelines that slash errors by 80%+\, drawing from semantic search and real-time analytics use cases.\n \n Discover hands-on strategies:\n - Ingesting embeddings at scale with neural ranking and k-NN plugins for sub-second queries.\n - Hybrid BM25 + vector fusion to ground responses in enterprise knowledge bases and logs.\n - Live demos: RAG over petabyte traces\, chunking optimizations\, and eval frameworks benchmarking recall.\n \n Packed with code snippets\, failure autopsies\, and deployment blueprints for Kubernetes. Ideal for ML engineers and architects building trustworthy GenAI\, escape the hallucination trap and deploy survival-ready search today!
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 3\, Prague\, Czechia
SEQUENCE:0
UID:9b0cbe167af2ef4b512a9ba62b62402d
URL:http://opensearchconeu2026.sched.com/event/9b0cbe167af2ef4b512a9ba62b62402d
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T135000Z
DTEND:20260416T143000Z
SUMMARY:Unconference - Part 2
DESCRIPTION:It’s safe to say Unconference is now an OpenSearchCon tradition. Each time the community gets together for this event\, we learn from one another in an engaging environment with interesting talks and open discussions.Make plans to join us again and come ready to pitch your favorite speaking topic! This is an opportunity for the community to come together and kick off OpenSearchCon Europe with an action-packed afternoon of sharing and discovery. With no pre-planned talks\, what you want to hear about will be determined by you and your fellow conference-goers.Attendees/SpeakersThis is a first-come\, first-served event\; the room holds up to 75 individuals and anyone registered for OpenSearchCon is welcome to attend until the room is full. We advise you to show up a little early to make sure you get your spot.Each speaker has 15 minutes to do with as they see fit! Want to talk for 10 minutes and have 5 minutes of questions? Great! Have a lot to say and want to talk for the whole 15? That works too! Are you a maintainer and want to hold a lightning round of questions with the audience? Fantastic! You get the picture. Just be mindful of your 15 minutes!Please note:&nbsp\;This block of time will be reserved for additional presentations and discussion time. The unconference session begins at 13:30.\n
CATEGORIES:UNCONFERENCE
LOCATION:Bohemia 1\, Prague\, Czechia
SEQUENCE:0
UID:5f6bae1882e3ffb7158448f76df6aba4
URL:http://opensearchconeu2026.sched.com/event/5f6bae1882e3ffb7158448f76df6aba4
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T144000Z
DTEND:20260416T150000Z
SUMMARY:Alert Fatigue to Action: Observability as the Backbone of Practical AIOps with OpenSearch - Stefano Pampaloni\, Seacom srl
DESCRIPTION:Alert fatigue is rarely caused by missing data. Logs\, metrics\, traces\, and alerts are usually available\, but during incidents they remain fragmented. Engineers still correlate signals manually\, under pressure\, relying on experience rather than shared context.\n\nThis talk describes an AIOps approach where observability data becomes the basis for operational decisions. OpenSearch is used as the central platform to collect\, query\, and correlate logs\, metrics\, and traces\, providing a consistent data model and query layer across systems. By leveraging MCP capabilities\, agentic AI\, and tools\, automation plays a central role in closing the loop from GitOps to delivery\, monitoring\, and problem resolution.\n\nFrom this foundation\, OpenSearch can be integrated with complementary tools to extend its capabilities. KeepHQ can consume data from OpenSearch to design alerting and response workflows and connect ticketing systems and external tools. HolmesGPT can operate on data retrieved from OpenSearch to assist with incident analysis and root cause investigation.\n\nThe focus is on what happens after detection: reducing noise\, correlating signals\, and supporting engineers during incident response.
CATEGORIES:ANALYTICS + SECURITY + OBSERVABILITY
LOCATION:Bohemia 1\, Prague\, Czechia
SEQUENCE:0
UID:bfdb31e1aa50378f3a4ee3d23d7ce596
URL:http://opensearchconeu2026.sched.com/event/bfdb31e1aa50378f3a4ee3d23d7ce596
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T144000Z
DTEND:20260416T152000Z
SUMMARY:Operating OpenSearch at Scale With Kubernetes Operators: Lessons Learned and Community Insights - Christian Dinse\, SAP SE & Prudhvi Godithi\, AWS OpenSearch
DESCRIPTION:Running OpenSearch in Kubernetes sounds simple — until you try to do it at scale\, with high availability\, zero downtime\, and evolving workloads. In this talk\, we draw on years of production experience operating OpenSearch clusters for SAP Cloud Logging service. We aim to share the key lessons learned and design patterns from building our Kubernetes operator. We’ll dive into how we approached seamless upgrades\, built tailored monitoring\, and improved performance when interacting with OpenSearch APIs. Even if we adapt solutions to fit internal needs\, the lessons learned are valuable for the broader OpenSearch and Kubernetes community. In the second half\, we turn our focus to the open-source OpenSearch Kubernetes Operator. We’ll explore its current state\, the challenges the community is addressing and efforts to improve its reliability. We’ll also discuss how this open-source offering enables organizations to seamlessly scale and manage OpenSearch clusters on Kubernetes\, and highlight opportunities for collaboration within the project.
CATEGORIES:OPERATING OPENSEARCH
LOCATION:Bohemia 3\, Prague\, Czechia
SEQUENCE:0
UID:d0c07254355f723c010f275012efb521
URL:http://opensearchconeu2026.sched.com/event/d0c07254355f723c010f275012efb521
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T144000Z
DTEND:20260416T152000Z
SUMMARY:Getting Started With OpenSearch Development - Andrew Ross & Saurabh Singh\, AWS
DESCRIPTION:Are you interested in contributing to OpenSearch but unsure where to begin? This 30-minute presentation provides a practical roadmap for developers looking to make their first contribution to the OpenSearch GitHub project.\n \n We'll start by exploring the OpenSearch repository structure and architecture\, helping you understand how the codebase is organized across its core components. You'll learn how to set up your local development environment\, including the essential tools\, dependencies\, and configurations needed to build and test OpenSearch successfully.\n \n We'll also go into what expectations you should have from maintainers who review your code\, as well as best practices for working with the community.
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:0872afab9e91dc47de32c3dbe921bbb7
URL:http://opensearchconeu2026.sched.com/event/0872afab9e91dc47de32c3dbe921bbb7
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260416T152000Z
DTEND:20260416T172000Z
SUMMARY:Search Party
DESCRIPTION:Join us for an evening of networking at the OpenSearch Party! Connect with industry friends while visiting sponsors and indulging in tasty treats. It’s the perfect setting to reconnect with colleagues and make new acquaintances in a relaxed and welcoming atmosphere.
CATEGORIES:BREAKS + NETWORKING + SPECIAL EVENTS
LOCATION:Main Foyer\, Prague\, Czechia
SEQUENCE:0
UID:731be3363fc4421255ff53fce08f5b3d
URL:http://opensearchconeu2026.sched.com/event/731be3363fc4421255ff53fce08f5b3d
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T060000Z
DTEND:20260417T070000Z
SUMMARY:Light Breakfast
DESCRIPTION:\n
CATEGORIES:BREAKS + NETWORKING + SPECIAL EVENTS
LOCATION:Main Foyer\, Prague\, Czechia
SEQUENCE:0
UID:a70b4686d3b3d6f6757c7d2c894d1251
URL:http://opensearchconeu2026.sched.com/event/a70b4686d3b3d6f6757c7d2c894d1251
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T060000Z
DTEND:20260417T153000Z
SUMMARY:Coat + Bag Check
DESCRIPTION:\n
CATEGORIES:REGISTRATION + BADGE PICK-UP
LOCATION:Studio A\, Prague\, Czechia
SEQUENCE:0
UID:0d9f7f9b394d1b3bb06e0305b110429b
URL:http://opensearchconeu2026.sched.com/event/0d9f7f9b394d1b3bb06e0305b110429b
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T060000Z
DTEND:20260417T140000Z
SUMMARY:Registration + Badge Pick-up
DESCRIPTION:\n
CATEGORIES:REGISTRATION + BADGE PICK-UP
LOCATION:Main Foyer\, Prague\, Czechia
SEQUENCE:0
UID:6923785a36757d6cb7928042884b8854
URL:http://opensearchconeu2026.sched.com/event/6923785a36757d6cb7928042884b8854
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T070000Z
DTEND:20260417T071500Z
SUMMARY:Keynote: Bianca Lewis\, Executive Director\, OpenSearch Software Foundation\, The Linux Foundation
DESCRIPTION:\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:ec2c910b88424b14478c7d13cdc5c3cc
URL:http://opensearchconeu2026.sched.com/event/ec2c910b88424b14478c7d13cdc5c3cc
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T071500Z
DTEND:20260417T073000Z
SUMMARY:Sponsored Keynote: AI-Driven Deployment and Monitoring Across Federated Cloud-Edge Sites - Giampaolo Conti\, AI Engineer & Benedetto Ginestra\, Software Engineer\, Adeptic Reply
DESCRIPTION:The IPCEI-CIS program is shaping the next wave of European cloud-edge innovation by enabling secure and sovereign digital infrastructures. \nIn this context\, Adeptic Reply demonstrates how natural language can be transformed into a fully structured deployment request. We built an open AI powered engine capable of structuring requests being able to be executed on federated cloud-edge sites\, composed of a mix of direct-managed and third parties’ nodes.\nTo keep these complex and inter-connected scenarios under control\, we developed an observability layer allowing users to track performance deviations across the federated cloud-edge sites\, ensuring reliability and transparency in the application lifecycle.\n\nThis session illustrates how structured AI workflows and federated observability come together to support the IPCEI-CIS vision and enable seamless\, trustworthy deployment across distributed cloud domains.
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:9c1840c07f809fce69bbb6cdf1260cc5
URL:http://opensearchconeu2026.sched.com/event/9c1840c07f809fce69bbb6cdf1260cc5
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T073000Z
DTEND:20260417T075500Z
SUMMARY:Break
DESCRIPTION:\n
CATEGORIES:BREAKS + NETWORKING + SPECIAL EVENTS
LOCATION:Main Foyer\, Prague\, Czechia
SEQUENCE:0
UID:91fbfd933ad27ea1dc4b6037247a76d6
URL:http://opensearchconeu2026.sched.com/event/91fbfd933ad27ea1dc4b6037247a76d6
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T073000Z
DTEND:20260417T150000Z
SUMMARY:Solutions Showcase
DESCRIPTION:\n
CATEGORIES:SOLUTIONS SHOWCASE
LOCATION:Main Foyer\, Prague\, Czechia
SEQUENCE:0
UID:5721676bcf3e47c9c0a8b7d3356c601f
URL:http://opensearchconeu2026.sched.com/event/5721676bcf3e47c9c0a8b7d3356c601f
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T075500Z
DTEND:20260417T090500Z
SUMMARY:Partner Roundtable
DESCRIPTION:The Partner Roundtable is a great way to interact with OpenSearch leadership and have an open dialogue about the project. We will discuss strategy\, challenges and opportunities\, community and collaboration\, future trends\, training and enablement\, and project growth. And of course\, you are encouraged to openly exchange ideas and experiences\, ask questions\, share your thoughts\, and engage in meaningful discussion.By invitation only.\n\n\n
CATEGORIES:PARTNER ROUNDTABLE
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:f930bb8225403f9795ccd0e275dfdd3a
URL:http://opensearchconeu2026.sched.com/event/f930bb8225403f9795ccd0e275dfdd3a
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T075500Z
DTEND:20260417T081500Z
SUMMARY:Unified Performance Observability in OpenSearch: Integrating Workload Management and Query Insights - Lindsay Chen & Emily Guo\, Amazon Web Services
DESCRIPTION: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.\n \n 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.
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 3\, Prague\, Czechia
SEQUENCE:0
UID:4069a2a91d158b08a6edf9b938e5b9b9
URL:http://opensearchconeu2026.sched.com/event/4069a2a91d158b08a6edf9b938e5b9b9
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T075500Z
DTEND:20260417T083500Z
SUMMARY:Using Native CPU Vectorized Instructions for 60% Speedup on Lucene's KNN Vector Search - Shubham Chaudhary\, Amazon
DESCRIPTION:Single Instruction\, Multiple Data (SIMD) is a key feature of modern CPUs\, allowing a single instruction to process multiple data elements in parallel. For large-scale vector search workloads\, fast dot-product computation is crucial for low-latency\, high-throughput semantic search.\n \n In this talk\, we’ll share our experience accelerating Lucene’s vector search using native SIMD on ARM CPUs (AWS Graviton 2/3). We’ll first discuss challenges with Java's native access improvements (Project Panama) for vectorization\, and why we switched to native SIMD implementations for better performance. Through architecture-specific optimizations\, we reduced vector search latency on ARM-based systems by 60%.\n \n Next\, we’ll dive into the complexities of working with multiple CPU families\, each with different SIMD instructions and optimizations. We’ll also share our progress on making this optimization available to all Lucene users\, carefully iterating with Lucene developers to address concerns about linking native code to Lucene’s core.\n \n Finally\, we’ll highlight our efforts to make this SIMD optimization an opt-in feature and its potential impact on OpenSearch deployments on ARM at scale.
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 1\, Prague\, Czechia
SEQUENCE:0
UID:3c4ac45bed0593fb0056063323686866
URL:http://opensearchconeu2026.sched.com/event/3c4ac45bed0593fb0056063323686866
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T084500Z
DTEND:20260417T090500Z
SUMMARY:CANCELLED: The "Open" SOC: Architecting a Free Security Lab for 10\,000 Students - Nikita Verma\, Independent & Harshita Varma\, juspay
DESCRIPTION:The biggest barrier to entering the cybersecurity field isn't talent\; it's the cost of tools. Proprietary SIEMs (Security Information and Event Management) are expensive\, leaving students with "theory" but no "practice." As a community leader who has mentored over 10\,000 aspiring engineers\, I realized we needed a better way.\n \n This session explores how we used OpenSearch to build a scalable\, open-source Security Operations Center (SOC) for education. We will step through the architecture of a "Training Lab" where students can ingest real attack logs\, visualize threats\, and practice threat hunting—all without a corporate budget.\n \n We will discuss:\n \n The "Free Tier" Architecture: How to deploy a multi-tenant OpenSearch cluster on Kubernetes that scales to thousands of student workloads cost-effectively.\n \n Gamification: Using OpenSearch Dashboards to build "Capture The Flag" (CTF) scoreboards that track student progress in real-time.\n \n The Talent Pipeline: How this open-source approach creates a generation of engineers who are "OpenSearch Native" from day one.
CATEGORIES:SECURITY EDUCATION & COMMUNITY DEVELOPMENT
LOCATION:Bohemia 1\, Prague\, Czechia
SEQUENCE:0
UID:76eafe0fb02e5a705013e65fd0558a66
URL:http://opensearchconeu2026.sched.com/event/76eafe0fb02e5a705013e65fd0558a66
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T084500Z
DTEND:20260417T090500Z
SUMMARY:Sharding 2.0: Unlocking Infinite Search Scalability in OpenSearch - Vikas Bansal & Paras Jain\, Amazon Web Services
DESCRIPTION:Search systems are hitting a wall. Static sharding causes hotspots\, slow queries\, and costly overprovisioning. But what if your search infrastructure could evolve in real time - splitting\, scaling\, and optimizing itself on the fly?\n \n We present a cutting-edge dynamic shard topology in OpenSearch that redefines how scalability and search efficiency coexist. Inspired by distributed systems principles and real-world cloud constraints\, this architecture uses a root-child shard model with mutually exclusive hash ranges to enable conflict-free\, high-throughput ingestion and ultra-fast targeted search.\n \n But we didn’t stop there. We embedded a playoff-style lookup algorithm - a smarter alternative to brute-force fan-out—ensuring queries scale logarithmically\, not linearly.\n \n The result?\n 🔹 True infinite horizontal scalability without reindexing.\n 🔹 Near-zero latency lookups\, even during shard splits.\n 🔹 Elastic\, self-healing architecture balancing cost\, performance\, and reliability.\n \n This isn't a prototype. It's cloud-native and production-ready. If you're building systems at scale - or aiming to - this session will change how you think about search.
CATEGORIES:SECURITY EDUCATION & COMMUNITY DEVELOPMENT
LOCATION:Bohemia 3\, Prague\, Czechia
SEQUENCE:0
UID:32b9d5d35c874e00a75fbda86657e971
URL:http://opensearchconeu2026.sched.com/event/32b9d5d35c874e00a75fbda86657e971
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T091500Z
DTEND:20260417T095500Z
SUMMARY:The Forbidden Index: How We Turned OpenSearch Into a Privacy-Preserving Superhero - Unnati Mishra\, Independent & Akshat Khanna\, Angel One
DESCRIPTION:GDPR. HIPAA. CCPA. Red tape? Not anymore. We’ll showcase how we transformed OpenSearch into a privacy-aware analytics engine using tokenization\, dynamic data masking\, and a custom plugin that auto-redacts PII before indexing. Ever seen a dashboard where every number is differentially private? You will. We’ll also debate the ethics of search in a post-Roe world and open-source our “privacy score” audit tool.\n \n Warning: This talk may ruin your faith in anonymized data… but we’ll fix it.
CATEGORIES:ANALYTICS + SECURITY + OBSERVABILITY
LOCATION:Bohemia 1\, Prague\, Czechia
SEQUENCE:0
UID:8f85c623f3bd86aef6d00b6d2bf7ea4e
URL:http://opensearchconeu2026.sched.com/event/8f85c623f3bd86aef6d00b6d2bf7ea4e
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T091500Z
DTEND:20260417T095500Z
SUMMARY:Upcoming Changes for the OpenSearch Index Authorization Mechanisms - Nils Bandener\, Eliatra
DESCRIPTION:The current index authorization model in OpenSearch has a few quirks and weaknesses\; these will be mostly noticeable when working in OpenSearch Dashboards or similar applications with users which have only limited access to indices. Thus\, if you do not take care and forget to flip certain switches\, you will encounter quite a few "Forbidden" errors in OpenSearch Dashboards.\n Over the past year\, we have been working on a new index authorization concept for OpenSearch. The goal is a more logical and intuitive authorization model that provides a smoother and more predictable user experience.\n \n This new approach is expected to be introduced as an optional feature in an upcoming OpenSearch release and is planned to become the default in OpenSearch 4.\n \n In this talk\, we will explain the new authorization concept\, highlight its advantages\, and provide practical guidance for cluster administrators on how to roll it out safely without causing service interruptions.
CATEGORIES:OPERATING OPENSEARCH
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:d5196ff0d34bf3f5df958e2dc483ce93
URL:http://opensearchconeu2026.sched.com/event/d5196ff0d34bf3f5df958e2dc483ce93
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T091500Z
DTEND:20260417T095500Z
SUMMARY:Boosting OpenSearch Performance: Lucene Bulk Collection and gRPC Search in Action - Abdul Muneer Kolarkunnu & Carlos Rolo\, NetApp Instaclustr
DESCRIPTION:Join us to explore the latest performance improvements in OpenSearch\, highlighting the integration of Lucene’s bulk collection API and enhancements to the gRPC Search API. This session will dive into how bulk collection optimizes aggregation execution\, delivering measurable gains across analytical workloads by batching operations and reducing computational overhead. We will also cover the expanded features of the gRPC Search API in OpenSearch 3.4\, which now supports new query types\, improved bulk requests\, and multiple document formats. To make these concepts clear and practical\, we will showcase live demos illustrating performance boosts in aggregation workloads and expanded query handling through gRPC. Attendees will gain a clear understanding of how these advancements significantly enhance efficiency and broaden query capabilities in real‑world use cases. Key takeaways include understanding Lucene’s bulk collection benefits\, learning about new gRPC query types\, and discovering improvements in bulk request handling and document format support.
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 3\, Prague\, Czechia
SEQUENCE:0
UID:307542df23bd1daa1d9936b5cd118470
URL:http://opensearchconeu2026.sched.com/event/307542df23bd1daa1d9936b5cd118470
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T100500Z
DTEND:20260417T102500Z
SUMMARY:The Lucene Scalpel: Tuning Low-Level Segments for Multi-Lingual Concurrency - Divyanshu Mishra\, Independent
DESCRIPTION:As European search applications scale\, they face a unique challenge: maintaining high-concurrency relevance across multi-lingual datasets. When an index grows to 25GB+\, standard Lucene merge policies often lead to "Segment Fragmentation\," causing significant latency spikes in k-NN search. This session moves beyond basic vector implementation to perform "surgery" on the underlying Lucene engine. We explore how to tune index merge policies and custom analyzers specifically for multi-lingual shards\, ensuring that 60+ concurrent streams remain performant. Attendees will learn how to optimize the physical storage of vector data to reduce I/O overhead and maintain sub-second relevance without bloating hardware costs.
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 1\, Prague\, Czechia
SEQUENCE:0
UID:ef2e9ee14e752552da68900221d163e9
URL:http://opensearchconeu2026.sched.com/event/ef2e9ee14e752552da68900221d163e9
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T100500Z
DTEND:20260417T102500Z
SUMMARY:Road To Maintainership: Shaping OpenSearch's Future - Varun Bansal\, AWS
DESCRIPTION:OpenSearch is welcoming but the path from first PR to maintainer can feel opaque. This session provides a practical\, step-by-step playbook for contributing to OpenSearch and growing as a trusted maintainer.\n \n Learn where to start (repos\, good-first-issue)\, how to pick right-sized work\, set up your environment\, align with coding and testing norms\, and craft high-signal PRs that are easy to review. We’ll cover collaboration habits—scoping changes\, attending triages\, avoiding churn\, handling async reviews\, documenting decisions—and show how to build credibility fast.\n \n We’ll outline the maintainer path: observable signals (consistency\, quality reviews\, ownership\, reliability\, judgment)\, responsibilities (triage\, design guidance\, merges\, releases\, community health)\, and how nominations happen. Leave with a 30/60/90-day plan\, a review-friendly PR template\, and a roadmap to grow consistent contributions into visible impact.
CATEGORIES:SECURITY EDUCATION & COMMUNITY DEVELOPMENT
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:aa780a652a48739a6e4e72d7718a72c9
URL:http://opensearchconeu2026.sched.com/event/aa780a652a48739a6e4e72d7718a72c9
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T100500Z
DTEND:20260417T102500Z
SUMMARY:The OSS-ential Understanding of Community Health and Metrics - Ijeoma Onwuka\, Independent
DESCRIPTION:Open source powers most of today’s technology\, yet many people still judge a project only by visible activity. The problem is that activity does not always reflect real health. A project can look busy while struggling behind the scenes. It can also look quiet while staying stable and strong.\n \n This talk explores the gap between what we see on the surface and what a community is actually experiencing. It draws from my work as a contributor and member of the Linux Foundation’s CHAOSS project\, where researchers and maintainers built shared ways to study open-source health in a practical and human way.\n \n The session explains two core ideas. Sustainability covers contributor experience\, documentation\, onboarding\, clarity\, and the ability to move forward without burnout. Survivability covers risk\, key person dependence\, governance strength\, and the ability to handle sudden change. \n \n Attendees will learn how to ask better questions\, spot early signals\, avoid misreading data\, and support communities with a clearer understanding of what health truly looks like. This talk is designed for community managers\, contributors\, OSPO teams\, and anyone who works inside open source every day.
CATEGORIES:SECURITY EDUCATION & COMMUNITY DEVELOPMENT
LOCATION:Bohemia 3\, Prague\, Czechia
SEQUENCE:0
UID:6edd501b16c12d8bc9d3f1ee40e8eb1b
URL:http://opensearchconeu2026.sched.com/event/6edd501b16c12d8bc9d3f1ee40e8eb1b
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T102500Z
DTEND:20260417T113500Z
SUMMARY:Lunch
DESCRIPTION:\n
CATEGORIES:BREAKS + NETWORKING + SPECIAL EVENTS
LOCATION:Moravia 1-3\, Prague\, Czechia
SEQUENCE:0
UID:26151cf543527ec7e3aa9121d2ae7246
URL:http://opensearchconeu2026.sched.com/event/26151cf543527ec7e3aa9121d2ae7246
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T113500Z
DTEND:20260417T121500Z
SUMMARY:CANCELLED: Designing High Throughput Log Observability With OpenSearch - Shramish Kafle\, KfW Bank
DESCRIPTION:Logs are the foundation of most observability platforms\, but they are also where OpenSearch clusters fail first. Shard explosion\, uncontrolled mappings\, slow queries\, and rising storage costs are common outcomes of poorly designed log workloads.\n \n This session focuses on a single\, concrete problem: how to design and operate OpenSearch for high-throughput log observability in production. Drawing from real-world experience\, it goes deep into the architectural and operational decisions that matter most when handling large log volumes.\n \n The talk covers log ingestion pipelines\, index and shard design\, lifecycle management\, and query performance tuning specifically for observability use cases. Instead of default setups and theory\, attendees will learn what actually works\, what breaks at scale\, and how to fix it.\n \n By the end of the session\, participants will have a practical blueprint for running OpenSearch as a reliable\, cost-effective log observability platform.
CATEGORIES:ANALYTICS + SECURITY + OBSERVABILITY
LOCATION:Bohemia 3\, Prague\, Czechia
SEQUENCE:0
UID:b6160aa213373c41989b981108d9fe05
URL:http://opensearchconeu2026.sched.com/event/b6160aa213373c41989b981108d9fe05
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T113500Z
DTEND:20260417T121500Z
SUMMARY:Writable Warm: Breaking the Read-Only Barrier in OpenSearch Tiering - Sandeep Kumawat\, Harshita Kaushik & Shubh Sahu\, AWS Opensearch
DESCRIPTION:Cost-effective data tiering in OpenSearch has traditionally meant moving older indices to warm storage that is optimized for density rather than mutability. In practice\, this comes with no write support and intrusive migration workflows that rely on forced segment merges\, serial processing\, and heavy CPU and IO usage—frequently impacting production workloads and operational stability. \n \n In this talk\, we introduce Writable Warm\, a new tiering architecture designed for remote-storage-backed clusters that removes the read-only constraint while simplifying operations. Instead of heavyweight migrations\, Writable Warm relies on fast shard relocation\, block-level data access\, and lazy recovery to support sustained writes and reads on warm data. \n \n We will walk through the core design decisions behind block-level fetching\, replica-aware recovery\, and concurrent seamless migrations\, and explain how eliminating forced merges improves stability and predictability at scale. Attendees will learn how this approach enables faster tier transitions\, better resource utilization\, and meaningful cost reductions—without changing application behavior or operational workflows.
CATEGORIES:OPERATING OPENSEARCH
LOCATION:Bohemia 1\, Prague\, Czechia
SEQUENCE:0
UID:2e652ff20296d3cdd19cb54f929605f0
URL:http://opensearchconeu2026.sched.com/event/2e652ff20296d3cdd19cb54f929605f0
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T113500Z
DTEND:20260417T121500Z
SUMMARY:Fine-tuning Neural Sparse Model for Domain Specific Data From an Existing OpenSearch Index - Aswath Srinivasan & Cedric Pelvet\, Amazon Web Services
DESCRIPTION:This is the sequel talk to the earlier OpenSearchCon talk on the topic “Budget Friendly Semantic Search With Neural Sparse Search”. This follow up talk we will explain shortcomings such as 1/ pre-trained lack the domain knowledge 2/ off-the-shelf-domain-specific-sparse-model are either expensive/proprietary or non-existent\n \n Level 300-400 talk covering\,\n 1/ Intro to Neural Sparse Search\n 2/ Pre-trained model shortcomings\n 3/ Fine-tuning pre-trained model using open-source tools\n 4/ Use Search Relevancy Workbench to compare pre-trained and fine-tuned sparse model search results\n \n A recommended pre-requisite is to watch the earlier presentation on “Budget Friendly Semantic Search With Neural Sparse Search” - https://www.youtube.com/watch?v=kx71KFf-Nv0\n \n Of course its a completely “optional” pre-requisite as the previous talk will be condensed to a 5 minute lightning talk and will serve as the introduction\n \n This talk will be demo-heavy\, showcasing the fine-tuning possibilities of sparse encoder models using data from an existing OpenSearch index\, which also means that the approach is suitable for even for those niche domains for which even proprietary models are not available in the market
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:bc01a3bd9236e590bc2459992f62e0a6
URL:http://opensearchconeu2026.sched.com/event/bc01a3bd9236e590bc2459992f62e0a6
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T122500Z
DTEND:20260417T130500Z
SUMMARY:Scaling Welfare With Open Source: How NAV Migrated To Managed OpenSearch - Dmitry Kan\, Aiven & Hans Kristian Flaatten\, Norwegian Government
DESCRIPTION:The Norwegian Labor and Welfare Administration (NAV) manages 1/3 of Norway’s state budget. Supporting their "product-first" paradigm for 20\,000 employees required a shift from legacy monoliths to a centralized\, self-service observability stack. NAV partnered with Aiven to migrate their logging infrastructure to a managed OpenSearch environment. Aiven has been a strategic partner of NAV by hosting some of NAV’s most critical data services for many years. As a founding member of the OpenSearch Foundation with active maintainers\, Aiven provided a unique advantage in helping NAV adopt OpenSearch for their application logging.\n This technical deep-dive covers:\n * Migration Architecture: High-throughput logging from on-premise to a managed service with zero-downtime\n * Scalability & Performance: Shard rebalancing\, customized scaling\, and automated snapshots\n * Data Pipeline: 60TB of log data\, and OpenTelemetry traces with Data Prepper\n * Operational Stability: Self-healing nodes and alert integrations with Slack.\n We will cover usage scenarios of OpenSearch dashboards and take a close look at how Aiven delivers and operates OpenSearch as a managed service at Nav’s scale.
CATEGORIES:OPERATING OPENSEARCH
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:30a17e99b37dc5fece9bbf3afdf9db45
URL:http://opensearchconeu2026.sched.com/event/30a17e99b37dc5fece9bbf3afdf9db45
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T122500Z
DTEND:20260417T130500Z
SUMMARY:Building a Modern Search Engine: The Road Ahead - Eric Pugh\, OpenSource Connections
DESCRIPTION:OpenSearch 3 was the first version released under the OpenSearch and Linux Foundations aegis and represented the evolution of the technology into a true open source project. &nbsp\; \n \nNow we have a new challenge\, delivering the best search solution in a market place that is rapidly changing. In this talk I will share the recently published roadmap for OpenSearch for 2026 and go into how this roadmap will support bringing a brand new community into the OpenSearch fold\, that of data scientists and AI engineers. \n \nThis new community is characterized by "wants to use search but that doesn’t want to spend a lot of time on search". They think that hybrid search with complex rerankers like cross encoders is the first place to start\, not the last place\, and we need to make them feel welcome! \n \nYou will learn about how we're "compressing complexity" in OpenSearch so that the extremely powerful capabilities of the engine are easily accessible to any developer. &nbsp\;Leaving this talk you'll understand the direction\, and most importantly\, how you can get involved in driving this evolution of OpenSearch.
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 1\, Prague\, Czechia
SEQUENCE:0
UID:832286bebbd653ae16b37cc44744b1d0
URL:http://opensearchconeu2026.sched.com/event/832286bebbd653ae16b37cc44744b1d0
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T130500Z
DTEND:20260417T133000Z
SUMMARY:Break
DESCRIPTION:\n
CATEGORIES:BREAKS + NETWORKING + SPECIAL EVENTS
LOCATION:Main Foyer\, Prague\, Czechia
SEQUENCE:0
UID:9d21ec40f359f501326cd47c0fe0b2bd
URL:http://opensearchconeu2026.sched.com/event/9d21ec40f359f501326cd47c0fe0b2bd
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T133000Z
DTEND:20260417T135000Z
SUMMARY:CANCELLED: How To Do Deep Contextual Tracing of Agentic Decisions With OpenSearch - Amandeep Singh\, Welzin
DESCRIPTION:AI agents rely on LLM reasoning or vector similarity to decide and choose tools. But these approaches lack deterministic control\, explainability and low-latency guarantees. In real production systems\, agents need a fast and reliable way to decide which tool to invoke based on structured rules and historical context.\n \n With this\, Agentic observability has emerged as a critical discipline in 2026\, shifting from simple logging to in-depth tracing of non-deterministic\, multi-step workflows. Building a reliable GenAI app monitoring strategy for tracing the reasoning chain\, now becomes more important from an observability pov.\n \n In this talk\, we will demonstrate how we can understand AI Agent decisioning for tool calling and further reasoning with OpenSearch. We will showcase how OpenSearch indexes agent logs\, tool call metadata\, execution constraints and past outcomes. \n \n We will showcase a live hands-on demo of OpenSearch ML\, indexing the AI Agent logs-metrics and further use them to comprehend the logs to understand the functioning and reasoning of AI agents.\n \n Confused about how AI Agents are making decisions ? Then this talk is for you !
CATEGORIES:ANALYTICS + SECURITY + OBSERVABILITY
LOCATION:Bohemia 3\, Prague\, Czechia
SEQUENCE:0
UID:9ebb1cb686ba113b3adfeb82cbc29018
URL:http://opensearchconeu2026.sched.com/event/9ebb1cb686ba113b3adfeb82cbc29018
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T133000Z
DTEND:20260417T135000Z
SUMMARY:From Logs To Signals: Rethinking System Monitoring With OpenSearch - Shruti Chaturvedi\, Independent
DESCRIPTION:Most production monitoring follows the same path: metrics fire an alert\, engineers search logs for context\, and human reasoning becomes the bottleneck. A global p95 alert triggers\, and 10–15 minutes later someone realizes the issue is limited to ap-south-1. Metrics and logs are tightly coupled through manual toil.\n \n This session proposes a simple shift: logs detect first.\n \n Structured JSON logs become system signals. These are indexed into purpose-built OpenSearch indexes\, where sliding-window aggregation queries continuously evaluate system state. Queries like “p95 latency by region over 5 minutes” yield precise outcomes such as “REGION_OUTAGE: ap-south-1” instead of noisy global alerts.\n \n Through a live demo\, we show how explicit log schemas\, index mappings\, and Query DSL enable context-rich\, machine-driven evaluation without dashboards or ad hoc searches. OpenSearch evaluates signals\; actions remain external and decoupled. \n \n The result is reduced human toil\, a clearer system state\, and a practical pattern that complements existing monitoring stacks without overpromising scale.
CATEGORIES:ANALYTICS + SECURITY + OBSERVABILITY
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:46247a4be12db4bbdbe5757400ba8487
URL:http://opensearchconeu2026.sched.com/event/46247a4be12db4bbdbe5757400ba8487
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T133000Z
DTEND:20260417T135000Z
SUMMARY:Teaching OpenSearch To Read YAML: Finding Broken Infrastructure Before It Breaks - Unnati Mishra\, Independent
DESCRIPTION:Every infrastructure outage tells the same story: a YAML mistake years in the making\, hiding in plain sight until production burns. Teams patch symptoms\, not causes because today's tools treat manifests as dumb text.\n \n This talk reveals how OpenSearch becomes your infrastructure's immune system: a semantic search engine that understands Kubernetes YAML intent\, not syntax. We transform manifests into queryable configuration graphs\, parsing what matters-resource quotas\, RBAC permissions\, network policies\, dependency chains rather than line counts.\n \n Attendees will learn how OpenSearch can be used as a preventive debugging tool for infrastructure\, enabling teams to detect configuration risks earlier and reason about changes with greater confidence.
CATEGORIES:OPERATING OPENSEARCH
LOCATION:Bohemia 1\, Prague\, Czechia
SEQUENCE:0
UID:4f85dadc13a23506f0d7307cc4b6ffc0
URL:http://opensearchconeu2026.sched.com/event/4f85dadc13a23506f0d7307cc4b6ffc0
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T140000Z
DTEND:20260417T144000Z
SUMMARY:Fluent Bit & OpenSearch: The Power Couple of Open Source Observability - Patrick Stephens\, Fluent Bit Maintainer
DESCRIPTION:In the world of cloud-native observability\, the "Golden Signal" is only as valuable as the pipeline that carries it. To build a truly vendor-neutral\, scalable observability stack\, look to Fluent Bit for high-performance telemetry routing and OpenSearch for robust search and analytics. This session dives into why these two projects form the "Power Couple" of the open-source ecosystem. One excels at being a lightweight\, sub-millisecond processor at the edge\, the other providing the distributed backend required to make sense of that data. \n \n What we will cover:\n \n - The "Why" Behind the Pairing: An exploration of how Fluent Bit’s low-resource footprint perfectly complements OpenSearch’s high-performance indexing.\n - Streamlined Integration: Practical demonstrations of configuring the Fluent Bit OpenSearch output plugin.\n - Zero to Dashboard: A walkthrough of the developer workflow—from containerized deployment using Podman to visualizing live telemetry in OpenSearch Dashboards.\n \n Attendees will walk away with an understanding of the advantages to this couple and access to a free online hands-on workshop: https://o11y-workshops.gitlab.io/workshop-fluentbit
CATEGORIES:ANALYTICS + SECURITY + OBSERVABILITY
LOCATION:Bohemia 1\, Prague\, Czechia
SEQUENCE:0
UID:d22dcf15d2c8aa5efd532b63847a1331
URL:http://opensearchconeu2026.sched.com/event/d22dcf15d2c8aa5efd532b63847a1331
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T140000Z
DTEND:20260417T144000Z
SUMMARY:Caching for Speed: Practical Performance Optimization in OpenSearch & Lucene - Sagar Upadhyaya & Ankit Jain\, Amazon Web Services
DESCRIPTION:Caching is essential for achieving low latency and high throughput in search systems\, yet it’s often misunderstood or misused. OpenSearch and Lucene provide multiple caching layers—such as the request cache\, field data cache\, and Lucene query cache—each designed for different workloads and access patterns.In this talk\, we break down how OpenSearch caches work\, when they help\, and common pitfalls that lead to low hit rates or wasted memory. We share lessons from real production systems\, showing how tuning\, architectural choices\, and benchmark-driven evaluation improve cache effectiveness\, performance\, and resiliency.We then discuss optimizations across key cache layers — the request cache\, field data cache\, and Lucene query cache — and the impact they have on real workloads.Finally\, we introduce tiered caching\, when it makes sense\, how it integrates with existing cache layers\, and the trade-offs involved.This session is intended for engineers who want a practical understanding of caching in OpenSearch and Lucene and actionable guidance for improving search performance in production.
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:799896572b39300f1e318e7ee560c82b
URL:http://opensearchconeu2026.sched.com/event/799896572b39300f1e318e7ee560c82b
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T140000Z
DTEND:20260417T144000Z
SUMMARY:Unlocking Next-gen Semantic Search With OpenSearch 3.x - Pietro Mele & Lucian Precup\, Adelean
DESCRIPTION:Search has evolved from matching tokens to understanding intent\, but the new challenge is doing it at scale\, with high precision and low latency. \n \n In this session\, we define the "State of the Art" for OpenSearch 3.x by diving into its most advanced retrieval and optimization capabilities.\n \n We will move beyond basic k-NN to showcase specific ranking techniques\, including Radial Search for precise vector scoping and Maximal Marginal Relevance (MMR) to solve the "diversity problem" in AI-generated results.\n \n Crucially\, we will look under the hood at Memory Optimized Search to demonstrate how to reduce infrastructure footprint without sacrificing accuracy. We will explain how techniques like Asymmetric Distance Computation and Random Rotation drive the latest quantization engines\, allowing you to run billion-scale vector workloads efficiently.\n \n Finally\, we will show how to operationalize these complex architectures using the new OpenSearch Workflow Builder. \n Attendees will see how to chain these advanced processors into reusable AI search pipelines using a visual interface\, proving that next-generation semantic search can be both powerful and accessible.
CATEGORIES:SEARCH & APACHE LUCENE
LOCATION:Bohemia 3\, Prague\, Czechia
SEQUENCE:0
UID:e4f7864e644c0d8449afe08217133dae
URL:http://opensearchconeu2026.sched.com/event/e4f7864e644c0d8449afe08217133dae
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260423T190030Z
DTSTART:20260417T145000Z
DTEND:20260417T150000Z
SUMMARY:Keynote: Closing Remarks - Kris Freedain\, Senior Community Manager & Patti Juric\, Senior Marketing Content Manager\, OpenSearch Project
DESCRIPTION:\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Bohemia 2\, Prague\, Czechia
SEQUENCE:0
UID:feb25ab1d0b1ec52d88b2ef94b435bd0
URL:http://opensearchconeu2026.sched.com/event/feb25ab1d0b1ec52d88b2ef94b435bd0
END:VEVENT
END:VCALENDAR