OpenSearchCon India 2026: Full Schedule

15-16 June 2026 | Mumbai, India
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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

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10:50am IST

Beyond Top-K: Building Search-Confidence Guardrails for Agentic AI With OpenSearch - Chanpreet Singh & Shatakshi Pandey, Amazon

Monday June 15, 2026 10:50am - 11:30am IST

205

Large Language Model agents frequently rely on retrieval systems to make decisions, yet most pipelines still depend on a naive top-k retrieval strategy. In agentic workflows this can lead to a dangerous failure mode: agents confidently acting on low-relevance results, amplifying hallucinations through iterative tool use.

This session presents a practical framework for implementing search-confidence guardrails using OpenSearch. Instead of treating retrieval scores as opaque signals, we demonstrate how to convert heterogeneous ranking outputs into a normalized trust metric that agents can reason about.

We will explore techniques such as score normalization, Reciprocal Rank Fusion (RRF), and hybrid retrieval (BM25 + vector search) to build a deterministic confidence layer on top of OpenSearch queries. Using this signal, agents can dynamically decide whether to answer, re-query, or request clarification, preventing cascading hallucinations.

The talk includes a reference architecture for agent-search interaction, evaluation workflows using the OpenSearch comparison tooling.

Speakers

Chanpreet Singh

Senior Data & AI Architect, Amazon Web Services

Data & AI Architect with 18+ years of experience building large-scale search, Data and AI platforms for global enterprises. Specializes in semantic search, RAG architectures, and agentic AI systems powered by OpenSearch. Architected enterprise search platforms indexing 8M+ documents... Read More →

Shatakshi Pandey

Data Analytics Engineer, Amazon

With over 6 years of experience in Data Analytics and AI/ML, partners with global enterprise customers to navigate the complexities of cloud migration and architectural re-engineering. An expert in high-performance Data Lakes and Warehousing solutions, leveraging AWS Glue, Redshift... Read More →

Monday June 15, 2026 10:50am - 11:30am IST
205

Search & Apache Lucene

11:40am IST

Live Queries in OpenSearch: Real-Time Search Observability From Zero To Production - Kishore Kumaarn Natarajan, Amazon Opensearch

Monday June 15, 2026 11:40am - 12:00pm IST

205

When a search cluster slows down, the first question is: what's running right now? Until recently, OpenSearch had no answer. Top N Queries shows what was slow after the fact, but by then the root cause may have disappeared.

In this talk, I'll walk through Live Queries, a feature I built for the Query Insights plugin that gives operators real-time visibility into every in-flight and recently completed search request across the cluster.

I'll cover:
- Why "what's running now?" was unanswerable and how operators struggled with manual correlation of node stats and thread dumps
- The end-to-end architecture: REST handler → transport fan-out → TaskGroup collection → LiveQueryRecord assembly with per-shard task details (CPU, memory, running time)
- The lock-free Finished Queries Cache: ConcurrentLinkedDeque with CAS-based lazy activation achieving zero hot-path overhead
- Correlating live and finished queries via nodeId:taskId keys linked to Top N records
- Evolution from OpenSearch 3.0 (inflight API) through 3.1 (cancellation tracking) to 3.3 (WLM group filtering)
- Live demo and future roadmap: comprehensive latency breakdown (RFC #20693) and OpenTelemetry integration

Speakers

Kishore Kumaarn Natarajan

Software Development Engineer, Amazon Opensearch

Kishore Kumaar Natarajan is an active contributor to the OpenSearch project and author of the Live Queries feature and Query Insights Profiler. He designed the real-time query observability stack — from the Inflight Queries API (OpenSearch 3.0) through the lock-free Finished Queries... Read More →

Monday June 15, 2026 11:40am - 12:00pm IST
205

Operating OpenSearch

12:10pm IST

Operating OpenSearch at Scale: Fixing Hot Shards, Disk Imbalance, and Cluster Instability - Dhruvan Tanna, Verve & Aditya Krishnakumar, SentinelOne

Monday June 15, 2026 12:10pm - 12:30pm IST

205

Running OpenSearch in production at scale is very different from what tutorials or books show. When you manage many clusters, you start seeing issues you didn’t know existed, like shard and disk imbalance, uneven traffic distribution, and unstable cluster states. These problems can degrade search performance and even cause incidents.

In this session, we will share real challenges we faced while operating large OpenSearch clusters and the practical solutions we used to stabilize them. We will explore how shard distribution can silently create problems, why some nodes end up using much more disk than others, and how clusters behave under heavy indexing and query load.

This talk focuses on the operational side of running OpenSearch in production. We’ll discuss strategies for better shard allocation, preventing disk imbalance, controlling indexing pressure, and keeping clusters stable under load.

Attendees will leave with practical techniques they can apply to run OpenSearch clusters reliably at large scale and improve stability and performance in real-world environments.

Speakers

Dhruvan Tanna

Senior DevOps Engineer, Verve

Dhruvan Tanna is a DevOps engineer with 8 years of experience building and operating large-scale cloud infrastructure. He specializes in Kubernetes, OpenSearch operations, and automated CI/CD systems across AWS and GCP. Passionate about reliability and performance, he focuses on solving... Read More →

Aditya Krishnakumar

Senior Site Reliability Engineer, SentinelOne

Aditya Krishnakumar is a Senior Site Reliability Engineer at SentinelOne and has 8+ years of experience with Cloud, DevOps and Kubernetes infrastructure. His current focus is on Platform Reliability and Data Infrastructure within SentinelOne and has been a technical reviewer for books... Read More →

Monday June 15, 2026 12:10pm - 12:30pm IST
205

Operating OpenSearch

12:40pm IST

Agent Under the Microscope: Monitoring Agentic Workflows With OpenSearch - Shenoy Pratik Gurudatt, Anirudha Jadhav & Megha Goyal, AWS OpenSearch

Monday June 15, 2026 12:40pm - 1:20pm IST

205

AI agents are moving from demos to production, but observability hasn't kept up. When an agent takes a wrong path, hallucinates mid-task, or silently degrades, how do you investigate? Traditional APM treats agent execution as a black box. We need purpose-built, OpenTelemetry-native observability for agentic AI.

We introduce the Agent Traces and Agent Health for OpenSearch: a native UI for exploring agent execution traces. OTel SDKs with GenAI semantic conventions (gen_ai.* attributes) instrument your agents, Data Prepper ingests the spans, and Agent Traces show you hierarchical trace views, detail agent maps, and aggregate metrics like token usage and latency percentiles - all queryable via PPL.

We demonstrate root-cause investigation: expanding execution trees to inspect each LLM call and tool invocation, querying spans to answer "which tool call caused the agent to diverge?" We then go deeper with Agent Health's golden path comparison that evaluates trajectories against expected behavior. Whether you're building agents for customer support, code generation, or data pipelines, you'll leave with a practical playbook for agent observability.

Speakers

Shenoy Pratik Gurudatt

Software Engineer, OpenSearch, Amazon Web Services

Shenoy Pratik is a seasoned Software Engineer with over eight years of industry experience, including roles at Amazon Web Services and previously at SAP. He is an active maintainer of core components and multiple plugins in the OpenSearch Project and contributes to the OpenTelemetry... Read More →

Anirudha Jadhav

Sr. Engineering Manager, Opensearch

Motto: “Aptet Aut Mori – Adapt or Die”

I lead the build out of user and technology agnostic cloud-first platforms for insights and visualization engines.

I have led big data search, retrieval and built out analytics products for the organization

I have deep expertise in... Read More →

Megha Goyal

Senior SDE, AWS OpenSearch Observability, AWS OpenSearch

Megha Goyal is a Senior Software Engineer at AWS OpenSearch. Her work has focused on building production-ready data integrations with core services like AWS CloudWatch and Security Lake for Observability and Security space. When she’s not building software, she enjoys designing... Read More →

Monday June 15, 2026 12:40pm - 1:20pm IST
205

Analytics + Security + Observability

2:30pm IST

The Secret Life of a Search Query: A Fun, Visual Journey Through How OpenSearch Really Thinks - Shubhi Khanna, Independent

Monday June 15, 2026 2:30pm - 2:50pm IST

205

Ever wondered what really happens after you hit “Search”? This talk takes you on a fast, funny, and surprisingly eye‑opening journey through the secret life of a query inside OpenSearch. We’ll follow it as it squeezes through analyzers, hops across shards, meets vectors, dodges caches, and races toward the perfect answer, all in milliseconds. Along the way, you’ll discover why some queries feel instant, why others take a coffee break, and how tiny architectural choices can totally change the search experience. Whether you're new to OpenSearch or a seasoned engineer, you’ll walk away with a delightful mental model of how search really works and how to make it faster, smarter, and a whole lot more magical.

Speakers

Shubhi Khanna

Senior Firmware Engineer, Independent

Shubhi Khanna is a senior engineer and technical storyteller who specializes in making complicated systems feel simple. Her background spans firmware, data flows, and AI‑driven workloads, and she has presented at global conferences. She’s passionate about helping developers understand... Read More →

Monday June 15, 2026 2:30pm - 2:50pm IST
205

Operating OpenSearch

3:00pm IST

Architecting a Sub-200ms Product Discovery System for Ecommerce With OpenSearch and Lucene - Kartik Sapra, Uber & Naman Jain, CNCF

Monday June 15, 2026 3:00pm - 3:40pm IST

205

Modern ecommerce search systems must do more than return results. They must understand customer intent, retrieve relevant products, and do all of this within extremely tight latency budgets. Even small delays can impact user experience and conversion.

In this talk, I will walk through the architecture of a product discovery system designed to deliver relevant product suggestions in under 200 milliseconds using OpenSearch and Lucene. The session will explore how search infrastructure can power real time product discovery across high traffic ecommerce platforms.

We will cover how queries are processed, how candidate products are retrieved efficiently, and how filtering and ranking strategies help surface high quality and buyable items. The talk will also discuss practical techniques for managing latency budgets, optimizing search queries, and designing indexes that balance speed and relevance.

Attendees will gain practical insights into building fast and scalable product discovery systems and learn how OpenSearch and Lucene can be used to power low latency search experiences in modern ecommerce applications.

Speakers

Kartik Sapra

Software Engineer, Uber

Kartik is a software engineer at Uber with over six years of experience building and running large scale systems. He has previously worked at Amazon and Akamai, solving platform, reliability, and automation problems in production environments. He is a Google Summer of Code contributor... Read More →

Naman Jain

Open Source Contributor, CNCF

I’m Naman Jain, an open-source contributor, maintainer at CNCF-KubeStellar.

My journey in tech is driven by a deep passion for open source, full-stack development, and AI/ML. I’ve contributed to impactful projects through Google Summer of Code 2025 with Jitsi and the LFX Mentorship 2025 with CNCF-KubeStellar, where I also maintain parts of the project... Read More →

Monday June 15, 2026 3:00pm - 3:40pm IST
205

Search & Apache Lucene

3:50pm IST

PPL Power-Up: Advanced Data Transformation Pipelines for Observability at Scale - Bharav Patel, AWS

Monday June 15, 2026 3:50pm - 4:30pm IST

205

Piped Processing Language (PPL) has quietly become one of OpenSearch's most powerful tools for observability data transformation.
OpenSearch 3.5 added various powerful functions that unlock advanced use cases: join , Lookup, mvcombine, mvzip, mvfind, and mvmap for multivalue field operations, addtotals for instant summary tables, and streamstats for cumulative statistical calculations as events are processed. This session showcases these capabilities through real-world observability scenarios — correlating multivalue log fields across microservices, building running error rate dashboards with streamstats, and performing lightweight anomaly detection using just PPL with no ML model required. We'll also demonstrate cross-signal analysis by combining PPL log queries with Prometheus
metric data using the new Discover experience for Prometheus data sources shipped in 3.5. Attendees will leave with ready-to-use PPL patterns for incident investigation that are more intuitive than equivalent SQL approaches.

Speakers

Bharav Patel

Specialist SA, OpenSearch, AWS

Bharav Patel is a Specialist Solution Architect, Analytics at Amazon Web Services. He primarily works on Amazon OpenSearch Service and helps customers with key concepts and design principles of running OpenSearch workloads on the cloud. Bharav likes to explore new places and try out... Read More →

Monday June 15, 2026 3:50pm - 4:30pm IST
205

Analytics + Security + Observability

4:50pm IST

From Code To Carbon - GreenOps for OpenSearch: Building Cost-Efficient and Sustainable Tech - Amrutha KH, Kantata

Monday June 15, 2026 4:50pm - 5:10pm IST

205

As data volumes and AI-driven workloads grow, operating large-scale search and observability platforms comes with rising infrastructure costs and energy consumption. GreenOps, an approach that combines operational efficiency, cost management, and environmental responsibility, is emerging as a practical way for engineering teams to run cloud systems more sustainably.

This session explores how GreenOps principles apply when operating OpenSearch for search and observability workloads. We will examine strategies to optimise cluster sizing, storage, and indexing patterns to reduce unnecessary compute usage while maintaining performance and reliability. The talk will also cover ways teams can use observability data to identify inefficient workloads, control infrastructure costs, and reduce the overall carbon footprint of their systems.

Attendees will gain practical insights into running more efficient OpenSearch deployments while aligning operational decisions with broader sustainability and cost-optimization goals.

Speakers

Amrutha KH

Software Engineer 2, Kantata

I am a Software Engineer II at Kantata, building scalable systems and AI-powered product features using React, Django, and Gen AI. A long-time hackathon enthusiast since college, I’ve won and placed in global competitions, including Smart India Hackathon, Digital Gov hack & the... Read More →

Monday June 15, 2026 4:50pm - 5:10pm IST
205

Operating OpenSearch

5:20pm IST

The Black Box for AI Agents: Observability, Memory & Coordination With Strands and OpenSearch - Hitesh Subnani & Smita Singh, AWS

Monday June 15, 2026 5:20pm - 6:00pm IST

205

Agentic AI systems are moving from experiments to production—but most teams lack visibility into how agents
think, coordinate, and evolve. This session explores using OpenSearch as the cognitive backbone for modern agent
frameworks like Strands and LangGraph, positioning it as: a long-term memory store, reasoning trace index, multi-
agent coordination layer, and observability platform.

Through a live architecture walkthrough, we'll build a multi-agent system where every planning step, tool
invocation, state transition, and outcome is indexed in OpenSearch. We'll demonstrate how to debug hallucinations
using reasoning traces, replay agent decisions across sessions, analyze performance with hybrid search, detect
behavioral drift, and coordinate multiple agents through search-backed state.

Attendees will gain practical architectural patterns for running stateful, observable, production-grade AI agents
using OpenSearch as core infrastructure—beyond basic retrieval.

Key Takeaways:
• Design stateful agent memory architectures
• Implement agent observability pipelines
• Use OpenSearch for reasoning trace analysis
• Coordinate multi-agent systems via indexed state

Speakers

Smita Singh

Sr. Solutions Architect, AWS

Hitesh Subnani

Solutions Architect - II, AWS

Hitesh Subnani is a Solutions Architect at AWS with specialized expertise in Search, Analytics, and Data Warehouse technologies. With a comprehensive background in data engineering and architecture, he brings a wealth of technical knowledge to complex cloud infrastructure challenges... Read More →

Monday June 15, 2026 5:20pm - 6:00pm IST
205

Analytics + Security + Observability

9:30am IST

HSplit: Teaching OpenSearch To Split Smart, Not Split Hard - Shaik Subhani & Atri Sharma, Apple

Tuesday June 16, 2026 9:30am - 9:50am IST

205

Operating OpenSearch at large scale with multi-tenant, hierarchical data introduces serious sharding challenges. Queries can fan out to hundreds of shards, hot shards reduce throughput, and rebalancing large clusters becomes operationally difficult.

This session introduces HSplit, a production-proven intelligent sharding system designed for OpenSearch deployments managing millions of folders, billions of documents, and petabytes of data. HSplit analyzes hierarchical structure, access-control patterns, and usage behavior to automatically determine optimal partition boundaries.

We’ll show how HSplit reduced per-query shard fanout from 200+ shards to single digits (95% reduction) and improved P95 latency from 2–5 seconds to 100–300 ms (10× faster) while maintaining stable performance as data grows. The session covers access-aware partitioning, composite scoring strategies, constraint-driven splitting, and stateless routing that supports thousands of queries per second.

Attendees will gain practical strategies, architectural patterns, and decision frameworks for designing efficient sharding strategies for large-scale, multi-tenant OpenSearch environments.

Speakers

Shaik Subhani

Software Engineer, Apple

Shaik is a Software Engineer at Apple Inc. specializing in AI infrastructure, knowledge graphs, and large-scale data platforms. He focuses on building scalable machine learning and search systems, including vector databases, RAG platforms, and enterprise AI solutions. With over 6... Read More →

Atri Sharma

Senior Engineering Manager, Apple

Atri Sharma is a Senior Engineering Manager at Apple specializing in distributed databases, large-scale search infrastructure, and data platforms. Previously, he held engineering roles at Uber, Amazon, Microsoft, Intuit, and State Street. He is an active contributor to PostgreSQL... Read More →

Tuesday June 16, 2026 9:30am - 9:50am IST
205

Operating OpenSearch

10:00am IST

From Signals To Security: Automation & Observability in the Modern Cloud - Rahul Bhalla, IBM India Pvt. Ltd.

Tuesday June 16, 2026 10:00am - 10:20am IST

205

Open source observability has moved beyond dashboards and “logs vs metrics vs traces.” Today, teams are converging on unified telemetry pipelines that support reliability and security use cases—without locking into a single tool. In this session, we’ll map the evolving landscape of open source tools for analytics, observability, and security, and show how modern stacks are built around standardized instrumentation (OpenTelemetry), scalable backends (Prometheus ecosystem, Grafana/Loki/Tempo, OpenSearch/Elastic alternatives), and policy-driven operations in Kubernetes.

We’ll cover the biggest shifts shaping the ecosystem: tool sprawl → composable platforms, manual triage → automated correlation, and rising data costs → smarter sampling and routing. You’ll leave with a practical reference architecture for collecting, enriching, routing, storing, and querying telemetry—plus guidance on selecting components based on scale, compliance, and budget.

Speakers

Rahul Bhalla

Senior Staff System Engineer, IBM India Pvt. Ltd.

Product and platform leader with 10+ years across release management, application delivery, and cloud engineering. Builds secure, scalable platforms using DevSecOps automation, agile methods, and design thinking. Experienced in AI/ML and hybrid cloud, translating technical depth into... Read More →

Tuesday June 16, 2026 10:00am - 10:20am IST
205

Analytics + Security + Observability

10:30am IST

Scaling Vector Search With GPU Acceleration on OpenSearch 3.0 - Chintan Agrawal, Amazon Web Service

Tuesday June 16, 2026 10:30am - 11:10am IST

205

Building billion-scale vector indexes on OpenSearch has traditionally meant days of CPU-intensive processing. OpenSearch 3.0 changes this with GPU-accelerated index building using CAGRA and auto-optimize for automated hyperparameter tuning.

This session shares hands-on lessons building billion-scale vector indexes on OpenSearch 3.0. We cover the end-to-end journey: selecting embedding models, choosing between HNSW and IVF algorithms, leveraging GPU-accelerated builds for up to 9x faster indexing, and using auto-optimize to balance recall, latency, and cost without manual tuning of ef_construction and M parameters.

We dive into production realities including quantization strategies (scalar, product, binary) to reduce memory footprint, disk-optimized vector search for cost-sensitive workloads, and hybrid search combining vector similarity with BM25 keyword matching. We cover operational patterns for zero-downtime index rebuilds and monitoring vector search performance.

Attendees leave with a decision framework for vector index configuration, benchmarks across deployment sizes, and guidance on when GPU acceleration pays off versus CPU-only approaches.

Speakers

Chintan Agrawal

Solution Architect, Amazon Web Service

Chintan Agrawal is a Solutions Architect with over 7 years of experience, with a specialization in Analytics and Healthcare domain.He possesses a strong enthusiasm for assisting clients in discovering valuable insights from their data. Through his expertise, he constructs innovative... Read More →

Tuesday June 16, 2026 10:30am - 11:10am IST
205

Operating OpenSearch

11:35am IST

Building Context-Aware AI Agents With Persistent Memory in OpenSearch and Claude - Shubham Kumar & Ramya Bhat, Amazon Web Services

Tuesday June 16, 2026 11:35am - 12:15pm IST

205

AI agents powered by LLMs such as Claude are inherently stateless and rely on external systems to maintain persistent memory. While these models can reason, plan, and call tools, they cannot retain knowledge across sessions on their own, forcing users to repeat information and limiting context-aware interactions.

In this session, we explore how to build context-aware AI agents with persistent memory using OpenSearch. Attendees will learn how OpenSearch’s agentic memory enables agents to store conversations, extract knowledge, learn user preferences, and retrieve relevant context over time.

Through practical examples, we demonstrate semantic knowledge extraction, preference learning, and session summarisation, showing how models like Claude can leverage stored context for personalised, intelligent responses. By the end, participants will understand how to design scalable memory architectures that transform stateless LLM agents into context-aware systems that continuously learn from interactions.

Speakers

Shubham Kumar

Associate Delivery Consultant - Data & AI, Amazon Web Services

Shubham is an Associate Delivery Consultant at Amazon Web Services, based in Bangalore. He specializes in Big Data, Data Lakes, ETL Migrations, Search and Observability, as well as GenAI projects. With deep technical expertise, He consistently delivers impactful and scalable solutions... Read More →

Ramya Bhat

Delivery Consultant - Data & AI, Amazon Web Services

Ramya is a AWS Delivery Consultant specializing in Search, Data Warehouse, and ETL solutions. With experience in data engineering and architecture, she has shared her expertise at public technology conferences including PostgreSQL Conference (PGConf), APJC Tech Summit and Amazon wide... Read More →

Tuesday June 16, 2026 11:35am - 12:15pm IST
205

Operating OpenSearch

12:25pm IST

Searching System Behavior Instead of Logs - Samarth Sharma, DataGenie

Tuesday June 16, 2026 12:25pm - 12:45pm IST

205

Modern observability tools mostly index log lines, metrics, and traces as isolated events. But production incidents rarely happen because of a single event. They happen because of patterns of behavior across services.

In this session, I’ll explore a different approach: indexing system execution paths instead of raw logs.

Rather than storing individual log lines, request traces are converted into behavioral documents that represent how a request actually moved through the system. This makes it possible to search for things like unusual request flows, repeated failure paths, or rare service interactions.

We’ll walk through:
=> Transforming distributed traces into searchable execution paths
=> Designing an index structure for behavioral search
=> Querying for patterns like repeated timeout paths or rare service flows
=> How OpenSearch scoring can highlight abnormal request behavior

A small demo will simulate a microservice environment and show how OpenSearch can surface failure patterns by searching system behavior instead of individual log lines.

Speakers

Samarth Sharma

Software Engineer, DataGenie

I am Samarth Sharma, a software engineer and an Opensource enthusiast. I have worked with various tech organizations as a Software Engineer Fellow, including Google Summer of Code' 22 and 23, Geeks for Geeks, MLH and Metafic.

Tuesday June 16, 2026 12:25pm - 12:45pm IST
205

Search & Apache Lucene

10:50am IST

11:40am IST

12:10pm IST

12:40pm IST

2:30pm IST

3:00pm IST

3:50pm IST

4:50pm IST

5:20pm IST

9:30am IST

10:00am IST

10:30am IST

11:35am IST

12:25pm IST

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