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OpenSearchCon Europe 2026 has ended
16-17 April 2026 | Prague, Czechia 
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Thursday, April 16
 

10:20 CEST

Beyond Hot Spots: Revolutionising OpenSearch Performance Through Heat-Aware Operations - Gaurav Bafna & Arpit Bandejiya, Amazon
Thursday April 16, 2026 10:20 - 11:00 CEST
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.

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.

Key innovations include:
🔹 Multi-dimensional heat scoring for precise hotspot detection
🔹 Pattern recognition for automated root cause analysis
🔹 Intelligent rebalancing recommendations
🔹 Predictive scaling suggestions

Through real-world examples, we'll demonstrate how this system:
- Reduces query latency
- Optimises resource utilisation across clusters
- Prevents cascading performance issues
- Enables proactive capacity planning

Join us to explore how heat-aware operations are setting new standards for OpenSearch cluster performance and reliability.
Speakers
avatar for Arpit Bandejiya

Arpit Bandejiya

SDE II, AWS
Arpit Bandejiya is a Software Development Engineer ll at AWS, working in Opensearch. Over the past three years, he has focused on Shard management, scalability and performance optimization. His interests lie in distributed systems and building high performance scalable infrastruc... Read More →
avatar for Gaurav Bafna

Gaurav Bafna

Senior Software Engineer, Amazon
Gaurav Bafna is a Senior Engineer with Amazon OpenSearch Service. He is excited about scaling challenges with distributed systems. He has been with OpenSearch team for 8 years and has a good operating experience with OpenSearch clusters. He is an active contributor and a maintainer... Read More →
Thursday April 16, 2026 10:20 - 11:00 CEST
Bohemia 1
  Analytics + Security + Observability
  • Presentation Slides Attached Yes

10:20 CEST

Building RAG With OpenSearch ML Plugins: From PDFs To Voice-Enabled Search - Kushagra Sharma, Genesys
Thursday April 16, 2026 10:20 - 11:00 CEST
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.

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.

What I hope to achieve: Share practical patterns for leveraging OpenSearch's ML capabilities and gather community feedback.

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.

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.

Target audience: Developers building RAG applications, OpenSearch operators exploring ML capabilities.
Speakers
avatar for Kushagra Sharma

Kushagra Sharma

Staff Software Engineer, Genesys
I'm a Staff/Lead Software Engineer at Genesys, working on the Conversational AI team. I build intelligent search and knowledge systems using OpenSearch, focusing on vector search and RAG pipelines. I'm passionate about exploring OpenSearch's AI/ML capabilities—particularly ML Commons... Read More →
Thursday April 16, 2026 10:20 - 11:00 CEST
Bohemia 3
  Operating OpenSearch
  • Presentation Slides Attached Yes

11:10 CEST

Running OpenSearch in the Real World: Migration, Mistakes and Maturity - Tom Snuverink & Marco Arts, Schuberg Philis
Thursday April 16, 2026 11:10 - 11:30 CEST
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 per customer). 

The 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.
Speakers
avatar for Tom Snuverink

Tom Snuverink

Mission Critical Engineer, Schuberg Philis
avatar for Marco Arts

Marco Arts

Mission Critical Engineer, Schuberg Philis
In tech for 17 years, working as a DevOps engineer.
Focused on HA-solutions and automation as a a core concept, with lots of on-prem experience.
Thursday April 16, 2026 11:10 - 11:30 CEST
Bohemia 1
  Operating OpenSearch
  • Presentation Slides Attached Yes

11:10 CEST

Ingesting Observability Data: OpenTelemetry Collector or Data Prepper? - Karsten Schnitter, SAP SE
Thursday April 16, 2026 11:10 - 11:50 CEST
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.
Speakers
avatar for Karsten Schnitter

Karsten Schnitter

Software Architect, SAP SE
Karsten is a Software Architect at SAP. He works in the observabilty area of the SAP Business Technology Platform. Karsten is a member of the OpenSearch technical steering committee and maintainer of the Data Prepper project. He is also a member of the OpenSearch TAG Observabilit... Read More →
Thursday April 16, 2026 11:10 - 11:50 CEST
Bohemia 3
  Analytics + Security + Observability
  • Presentation Slides Attached Yes

12:00 CEST

A Brief Guide to Secure Agentic Knowledge Retrieval - Christian Gross, RheinInsights GmbH
Thursday April 16, 2026 12:00 - 12:20 CEST
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.
Speakers
avatar for Christian Gross

Christian Gross

Co-Founder, RheinInsights GmbH
Christian is a veteran in the enterprise search field with more than a decade of hands‑on experience building search solutions for large organizations.

After completing his PhD and postdoctoral research, he joined the vendor‑independent search specialist Raytion in 2011 where

... Read More →
Thursday April 16, 2026 12:00 - 12:20 CEST
Bohemia 1
  Search & Apache Lucene
  • Presentation Slides Attached Yes

13:30 CEST

Apache Lucene Vector Search Update - Michael Sokolov, Amazon
Thursday April 16, 2026 13:30 - 14:10 CEST
Lucene Vector Search Update

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.

Some of the specific topics may include:

* seeded search (start graph walk from a known point)
* optimistic search (safe pro-rating for efficient multi-segment search)
* Acorn-based search (more efficient application of filters)
* advances in quantization
* efficient indexing using binary partitioning over vector fields
* more efficient merging: finally, we can re-use information from graphs in existing segments and don't have to start from scratch
* proposed integrations: FAISS, CUVS, DiskANN

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.
Speakers
avatar for Michael Sokolov

Michael Sokolov

Principal Engineer, Amazon
I spent the last 25+ years developing search-based web applications, and more recently focused on the search engine specifically, becoming an Apache Lucene committer in 2019, and contributing Lucene's first approximate vector search (ANN) implementation in 2020.
Thursday April 16, 2026 13:30 - 14:10 CEST
Bohemia 3
  Search & Apache Lucene
  • Presentation Slides Attached Yes

14:20 CEST

Vendor-Agnostic Analytics: Querying Open Columnar Formats With OpenSearch - Bharathwaj G & Arpit Bandejiya, Amazon Web Services
Thursday April 16, 2026 14:20 - 14:40 CEST
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.

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.

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.

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.
Speakers
avatar for Arpit Bandejiya

Arpit Bandejiya

SDE II, AWS
Arpit Bandejiya is a Software Development Engineer ll at AWS, working in Opensearch. Over the past three years, he has focused on Shard management, scalability and performance optimization. His interests lie in distributed systems and building high performance scalable infrastruc... Read More →
avatar for Bharathwaj G

Bharathwaj G

Senior SDE, Amazon
Software engineer in Amazon , OpenSearch maintainer and leads features on improving the performance of indexing and search. Interested in designing high performance distributed systems.
Thursday April 16, 2026 14:20 - 14:40 CEST
Bohemia 2
  Analytics + Security + Observability
  • Presentation Slides Attached Yes

14:20 CEST

Distributed OpenSearch Monitoring at Scale With Apache NiFi and MiNiFi Agents - Vincenzo Lombardo, Seacom
Thursday April 16, 2026 14:20 - 14:40 CEST
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.

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.

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.

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.
Speakers
avatar for Vincenzo Lombardo

Vincenzo Lombardo

Team Leader Apache Nifi, Seacom
Segue le tecnologie legate all’area No Code, con un focus principale sull’ecosistema NiFi (NiFi, MiNiFi, NiFi Registry, C2 Server, NiFiKop) e sul suo utilizzo in ambito ETL e nell’integrazione con altri sistemi informativi.

Ha esperienza nel campo della ricerca (Google Search Appliance, Mindbreeze, OpenSearch, oltre a Elasticsearch e allo stack ELK) e nell’indicizzazione dei log in ambito sicurezza (Wazuh e Logstash... Read More →
Thursday April 16, 2026 14:20 - 14:40 CEST
Bohemia 3
  Operating OpenSearch
  • Presentation Slides Attached Yes

14:50 CEST

Integrating Docling With OpenSearch for Advanced RAG and Agentic Applications - Cesar Berrospi Ramis, IBM Research
Thursday April 16, 2026 14:50 - 15:30 CEST
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.
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.
Attendees will learn how these integrations simplify document ingestion and enable accurate and explainable AI applications.
Speakers
avatar for Cesar Berrospi Ramis

Cesar Berrospi Ramis

Senior Research Scientist, IBM Research
Cesar Berrospi Ramis is a Senior Research Scientist at IBM Research, Zurich. With a background in mathematics and engineering, he specializes in AI applications in document understanding and is part of Docling's development team.
Thursday April 16, 2026 14:50 - 15:30 CEST
Bohemia 2
  Search & Apache Lucene
  • Presentation Slides Attached Yes

16:40 CEST

Alert Fatigue to Action: Observability as the Backbone of Practical AIOps with OpenSearch - Stefano Pampaloni, Seacom srl
Thursday April 16, 2026 16:40 - 17:00 CEST
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.

This 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.

From 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.

The focus is on what happens after detection: reducing noise, correlating signals, and supporting engineers during incident response.
Speakers
avatar for Stefano Pampaloni

Stefano Pampaloni

CEO, Seacom srl
Stefano is the CEO of two open source companies operating as benefit companies, combining business activity with social and environmental impact. He founded his first Internet Service Provider in 1995, building the entire infrastructure using open source software, and later created... Read More →
Thursday April 16, 2026 16:40 - 17:00 CEST
Bohemia 1
  Analytics + Security + Observability
  • Presentation Slides Attached Yes

16:40 CEST

Operating OpenSearch at Scale With Kubernetes Operators: Lessons Learned and Community Insights - Christian Dinse, SAP SE & Prudhvi Godithi, AWS OpenSearch
Thursday April 16, 2026 16:40 - 17:20 CEST
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.
Speakers
avatar for Christian Dinse

Christian Dinse

Senior Software Developer, SAP SE
Christian Dinse is a Senior Software Developer at SAP, building Kubernetes operators for OpenSearch and related components for SAP’s Cloud Logging service. He is also co-author and maintainer of two open-source Node.js packages that simplify sending structured logs and OpenTelemetry... Read More →
avatar for Prudhvi Godithi

Prudhvi Godithi

Software Development Engineer, AWS OpenSearch
As a maintainer of the OpenSearch Project, my primary focus is on search performance optimization and fostering open-source growth. I maintain several key components, including the Kubernetes Operator, Terraform Provider, Helm Charts, and the community-driven OpenSearch Metrics Project... Read More →
Thursday April 16, 2026 16:40 - 17:20 CEST
Bohemia 3
  Operating OpenSearch
  • Presentation Slides Attached Yes
 
Friday, April 17
 

09:55 CEST

Using Native CPU Vectorized Instructions for 60% Speedup on Lucene's KNN Vector Search - Shubham Chaudhary, Amazon
Friday April 17, 2026 09:55 - 10:35 CEST
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.

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%.

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.

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.
Speakers
avatar for Shubham Chaudhary

Shubham Chaudhary

Software Development Engineer, Amazon
Shubham is an Apache Lucene Committer and Software Engineer at Amazon Search, working on building and scaling the core search engine powering Amazon's product search. He joined Amazon in 2020 and has nearly 5 years of experience developing large-scale information retrieval systems... Read More →
Friday April 17, 2026 09:55 - 10:35 CEST
Bohemia 1
  Search & Apache Lucene
  • Presentation Slides Attached Yes

10:45 CEST

Sharding 2.0: Unlocking Infinite Search Scalability in OpenSearch - Vikas Bansal & Paras Jain, Amazon Web Services
Friday April 17, 2026 10:45 - 11:05 CEST
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?

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.

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.

The result?
🔹 True infinite horizontal scalability without reindexing.
🔹 Near-zero latency lookups, even during shard splits.
🔹 Elastic, self-healing architecture balancing cost, performance, and reliability.

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.
Speakers
avatar for Vikas Bansal

Vikas Bansal

Senior Software Engineer @ Amazon, AWS OpenSearch, Amazon
Senior Software Engineer with 12+ years of experience, currently driving online shard split for scalable search in AWS OpenSearch. Key contributor to OpenSearch Serverless launch and achieved 70% boost via async S3 multipart upload. Built a Hystrix-style circuit breaker in Go. Past... Read More →
avatar for Paras Jain

Paras Jain

SDE III, Amazon Web Services
Working with the OpenSearch Indexing Team with a focus on scale, performance and operational resiliency. Building Serverless for AWS OpenSearch.
Friday April 17, 2026 10:45 - 11:05 CEST
Bohemia 3
  Security Education & Community Development
  • Presentation Slides Attached Yes

11:15 CEST

The Forbidden Index: How We Turned OpenSearch Into a Privacy-Preserving Superhero - Unnati Mishra, Independent & Akshat Khanna, Angel One
Friday April 17, 2026 11:15 - 11:55 CEST
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.

Warning: This talk may ruin your faith in anonymized data… but we’ll fix it.
Speakers
avatar for Unnati Mishra

Unnati Mishra

Software Engg, Independent
As a Cloud Native & Platform Engineer, I am passionate about optimizing developer experience and scaling Kubernetes ecosystems. I have been an active member of the open-source community since 2019 and have secured top spots in various hackathons. I enjoy public speaking and connecting... Read More →
avatar for Akshat Khanna

Akshat Khanna

SDE 2, Angel One
Akshat Khanna is currently working as SDE 2, building High Performance Trading Platform at Angel One and previously worked as MTS 2 at VMware Tanzu. He has been working on Kubernetes solution for the edge and also actively contributing to open-source. He has good experience of developing... Read More →
Friday April 17, 2026 11:15 - 11:55 CEST
Bohemia 1
  Analytics + Security + Observability
  • Presentation Slides Attached Yes

11:15 CEST

Upcoming Changes for the OpenSearch Index Authorization Mechanisms - Nils Bandener, Eliatra
Friday April 17, 2026 11:15 - 11:55 CEST
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.
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.

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.

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.
Speakers
avatar for Nils Bandener

Nils Bandener

Software Architect, Eliatra
Freelance software architect with long track record in security and infrastructure software. Interested in finding optimal solutions which combine broad functionality with a user-centric view. Track record of many years in security software via collaborations with Search Guard and... Read More →
Friday April 17, 2026 11:15 - 11:55 CEST
Bohemia 2
  Operating OpenSearch
  • Presentation Slides Attached Yes

11:15 CEST

Boosting OpenSearch Performance: Lucene Bulk Collection and gRPC Search in Action - Abdul Muneer Kolarkunnu & Carlos Rolo, NetApp Instaclustr
Friday April 17, 2026 11:15 - 11:55 CEST
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.
Speakers
avatar for Abdul Muneer Kolarkunnu

Abdul Muneer Kolarkunnu

Software Developer, NetApp InstaClustr
I am a passionate open-source developer actively contributing to OpenSearch, now mainly in to ml-commons. I contributed to other projects like OpenSearch core, Security and Cross Cluster Replication. I presented in OpenSearchCon Europe and India last year(2025) . Also, I am an OpneJDK... Read More →
avatar for Carlos Rolo

Carlos Rolo

Principal Open Source Engineer, NetApp
Friday April 17, 2026 11:15 - 11:55 CEST
Bohemia 3
  Search & Apache Lucene
  • Presentation Slides Attached Yes

12:05 CEST

The Lucene Scalpel: Tuning Low-Level Segments for Multi-Lingual Concurrency - Divyanshu Mishra, Independent
Friday April 17, 2026 12:05 - 12:25 CEST
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.
Speakers
avatar for Divyanshu Mishra

Divyanshu Mishra

AI & DevOps Enthusiast, Independent
With 7.6 years of experience in IT, Divyanshu Mishra has worked with organizations such as Capgemini, Tietoevry, 66degrees, and is currently with ShellSquare Softwares. His expertise spans cloud computing, DevOps, and containerization technologies including Kubernetes and Docker... Read More →
Friday April 17, 2026 12:05 - 12:25 CEST
Bohemia 1
  Search & Apache Lucene
  • Presentation Slides Attached Yes

12:05 CEST

The OSS-ential Understanding of Community Health and Metrics - Ijeoma Onwuka, Independent
Friday April 17, 2026 12:05 - 12:25 CEST
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.

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.

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.

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.
Speakers
avatar for Ijeoma Belinda Onwuka

Ijeoma Belinda Onwuka

Community Manager, Independent
Ijeoma Onwuka is an experienced Community Manager with over 3 years of building thriving communities for tech startups and non-profits. She currently leads programs at Scandium Systems Limited, creating engaging spaces for developers, technical writers, and tech enthusiasts.

Passionate about open source, she actively contributes to projects like OpenSSF, DevRel Foundation, CHAOSS, and UNICEF, focusing on the intersection of technology and community... Read More →
Friday April 17, 2026 12:05 - 12:25 CEST
Bohemia 3
  Security Education & Community Development
  • Presentation Slides Attached Yes

13:35 CEST

Writable Warm: Breaking the Read-Only Barrier in OpenSearch Tiering - Sandeep Kumawat, Harshita Kaushik & Shubh Sahu, AWS Opensearch
Friday April 17, 2026 13:35 - 14:15 CEST
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.

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.

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.
Speakers
avatar for Shubh Sahu

Shubh Sahu

Software Development Engineer 2, AWS Opensearch
Shubh Sahu is a Software Development Engineer II at Amazon OpenSearch Service. With 2.5 years of experience in building distributed systems and storage solutions, he focuses on enhancing the scalability and reliability of OpenSearch, enabling customers to efficiently leverage open-source... Read More →
avatar for Sandeep Kumawat

Sandeep Kumawat

Software Development Engineer II, Amazon Web Services OpenSearch Services
Sandeep Kumawat is a Software Development Engineer II at Amazon OpenSearch Service with 2.5+ years of experience building and operating large-scale distributed systems. He works on core OpenSearch internals, focusing on scalability, reliability, and performance of storage and indexing... Read More →
avatar for Harshita Kaushik

Harshita Kaushik

Software Development Engineer, Amazon Web Services
Harshita is a Software Developer at Amazon Web Services. She has contributed to building scalable and reliable systems to help customers leverage open-source search and analytics effectively. 
Friday April 17, 2026 13:35 - 14:15 CEST
Bohemia 1
  Operating OpenSearch
  • Presentation Slides Attached Yes

14:25 CEST

Scaling Welfare With Open Source: How NAV Migrated To Managed OpenSearch - Dmitry Kan, Aiven & Hans Kristian Flaatten, Norwegian Government
Friday April 17, 2026 14:25 - 15:05 CEST
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.
This technical deep-dive covers:
* Migration Architecture: High-throughput logging from on-premise to a managed service with zero-downtime
* Scalability & Performance: Shard rebalancing, customized scaling, and automated snapshots
* Data Pipeline: 60TB of log data, and OpenTelemetry traces with Data Prepper
* Operational Stability: Self-healing nodes and alert integrations with Slack.
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.
Speakers
avatar for Hans Kristian Flaatten

Hans Kristian Flaatten

Platform Engineer, Norwegian Government
CNCF Abassasor, Google Developer Expert (GDE) for Cloud, Grafana Champion and Platform Engineer at the Norwegian Labor and Welfare Administration (NAV) working on NAIS - a platform built to increase development speed by providing the best experience to build, run and operate appl... Read More →
avatar for Dmitry Kan

Dmitry Kan

Product Director, Search, Aiven
Dmitry is a Product Director at Aiven, leading managed OpenSearch service. Since 2010, he has specialized in search (Lucene, Solr, Elasticsearch), previously co-owning TomTom’s planet-scale map search and building the technology behind AlphaSense. At Silo.AI, he led NLP and web-scale... Read More →
Friday April 17, 2026 14:25 - 15:05 CEST
Bohemia 2
  Operating OpenSearch
  • Presentation Slides Attached Yes

15:30 CEST

From Logs To Signals: Rethinking System Monitoring With OpenSearch - Shruti Chaturvedi, Independent
Friday April 17, 2026 15:30 - 15:50 CEST
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.

This session proposes a simple shift: logs detect first.

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.

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.

The result is reduced human toil, a clearer system state, and a practical pattern that complements existing monitoring stacks without overpromising scale.
Speakers
avatar for Shruti Chaturvedi

Shruti Chaturvedi

DevOps Engineer, Independent
Shruti is a Cloud Engineer who builds bridges—from Git to GPU, from microservices to machine learning. A founding engineer turned DevOps specialist, she has architected multi-cloud systems on AWS and GCP, built self-service developer platforms with Terraform and ArgoCD, and instrumented... Read More →
Friday April 17, 2026 15:30 - 15:50 CEST
Bohemia 2
  Analytics + Security + Observability
  • Presentation Slides Attached Yes

15:30 CEST

Teaching OpenSearch To Read YAML: Finding Broken Infrastructure Before It Breaks - Unnati Mishra, Independent
Friday April 17, 2026 15:30 - 15:50 CEST
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.

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.

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.
Speakers
avatar for Unnati Mishra

Unnati Mishra

Software Engg, Independent
As a Cloud Native & Platform Engineer, I am passionate about optimizing developer experience and scaling Kubernetes ecosystems. I have been an active member of the open-source community since 2019 and have secured top spots in various hackathons. I enjoy public speaking and connecting... Read More →
Friday April 17, 2026 15:30 - 15:50 CEST
Bohemia 1
  Operating OpenSearch
  • Presentation Slides Attached Yes

16:00 CEST

Fluent Bit & OpenSearch: The Power Couple of Open Source Observability - Patrick Stephens, Fluent Bit Maintainer
Friday April 17, 2026 16:00 - 16:40 CEST
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.

What we will cover:

- The "Why" Behind the Pairing: An exploration of how Fluent Bit’s low-resource footprint perfectly complements OpenSearch’s high-performance indexing.
- Streamlined Integration: Practical demonstrations of configuring the Fluent Bit OpenSearch output plugin.
- Zero to Dashboard: A walkthrough of the developer workflow—from containerized deployment using Podman to visualizing live telemetry in OpenSearch Dashboards.

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
Speakers
avatar for Patrick Stephens

Patrick Stephens

Co-Founder, Telemetry Forge
K8S, Golang, C/C++ backend, infra and DevOps highly cleared engineer for startups and defence

Over 20 years experience in software engineering, mostly in the defence domain at Thales. The last few years of this were focused on transformation first to containers then Kubernetes.

Aft... Read More →
Friday April 17, 2026 16:00 - 16:40 CEST
Bohemia 1
  Analytics + Security + Observability
  • Presentation Slides Attached Yes
 
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