OpenSearchCon India 2026: Full Schedule

15-16 June 2026 | Mumbai, India
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8:30am IST

Tea & Networking

Tuesday June 16, 2026 8:30am - 9:30am IST

Level 2 Foyer

Tuesday June 16, 2026 8:30am - 9:30am IST
Level 2 Foyer

Breaks + Networking + Special Events

8:30am IST

Registration + Badge Pick-up

Tuesday June 16, 2026 8:30am - 12:00pm IST

Level 2 Foyer

Tuesday June 16, 2026 8:30am - 12:00pm IST
Level 2 Foyer

Registration + Badge Pick-up

9:30am IST

From Plugin To Platform — Building an Observability Suite in OpenSearch Dashboards - Harikrishnan Prabhakar & Ganesh Gopal, Freshworks

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

204

OpenSearch Dashboards plugins are often used to add individual features, but how far can the plugin model go? In this talk we share how we took the dashboards-observability plugin skeleton and evolved it into a full observability platform supporting tracing, RUM, profiling, synthetics, model observability, alerting, AI-powered RCA, and pipeline monitors — all within a single plugin.

We’ll walk through the architectural patterns behind this evolution, including domain-based state management, lazy-loaded modules, custom clients, and config-driven feature toggling. We’ll also discuss integrating rich visualizations such as trace timelines, dependency graphs, and flamegraphs into the Dashboards plugin shell, extending the query grammar for syntax highlighting, and organizing server routes with a middleware layer to proxy multiple backends.

Attendees will leave with practical patterns for building complex applications on OpenSearch Dashboards and a deeper understanding of how the plugin architecture can evolve from simple extensions into an extensible application platform for full solutions.

Speakers

Harikrishnan Prabhakar

Lead Software Engineer - Systems, Freshworks

Harikrishnan Prabhakar is a Lead Systems Engineer at Freshworks building large-scale observability platforms powered by OpenSearch. He leads the development of Haystack UI, extending OpenSearch Dashboards to help engineers debug complex distributed systems across services. With a... Read More →

Ganesh Gopal

Senior Software Engineer - Systems, Freshworks

Ganesh Gopal is a Senior Software Engineer (Systems) at Freshworks working on large-scale observability platforms. He focuses on building systems for logs, tracing, metrics, profiling, and reliability using OpenSearch and distributed architectures. His work involves designing scalable... Read More →

Tuesday June 16, 2026 9:30am - 9:50am IST
204

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

9:30am IST

Building a Secure Enterprise RAG Assistant With OpenSearch Vector Search - Kartik Sapra, Uber & Naman Jain, CNCF

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

206

Organizations generate huge amounts of internal documentation across wikis, runbooks, architecture guides, and operational documents. Finding the right information quickly can be difficult when traditional keyword search cannot capture the intent behind a question.

In this talk, I will share how a Retrieval Augmented Generation assistant can be built using OpenSearch vector search to retrieve relevant knowledge from enterprise documentation. The system converts user queries into embeddings, retrieves the most relevant documents from OpenSearch, and provides them to a language model to generate grounded answers.

The session will walk through the architecture of the system, including document ingestion, embedding generation, vector indexing, and semantic retrieval. We will also discuss strategies for improving retrieval quality, managing latency in the query pipeline, and ensuring that enterprise data remains secure.

Attendees will learn how OpenSearch can power scalable semantic search systems and how vector search can be combined with language models to build reliable knowledge assistants for modern engineering organizations.

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 →

Tuesday June 16, 2026 9:30am - 9:50am IST
206

Search & Apache Lucene

10:00am IST

From OpenTelemetry To OpenSearch: Designing a Scalable Observability Pipeline - Bikram Debnath, IBM India Software Labs (ISL)

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

206

Modern distributed applications generate massive volumes of telemetry in the form of logs, metrics, and traces. Designing a scalable pipeline to collect, process, and analyze this data is essential for effective observability.

In this session, we explore how OpenTelemetry and OpenSearch can be combined to build a modern observability pipeline. We walk through the end-to-end telemetry flow - from instrumenting applications with OpenTelemetry SDKs to collecting and processing telemetry through the OpenTelemetry Collector and finally indexing and analyzing data in OpenSearch.

We also discuss key design considerations such as telemetry ingestion patterns, index strategies for observability workloads, and correlating logs, metrics, and traces. Attendees will see how OpenSearch can act as a scalable backend for storing, searching, and analyzing observability data.

Audience Takeaway:
Learn how to design a scalable observability pipeline using OpenTelemetry for telemetry collection and OpenSearch for storage and analysis, along with key considerations for ingesting and correlating logs, metrics, and traces.

Speakers

Bikram Debnath

Advisory Software Engineer, IBM India Software Labs (ISL)

Advisory Software Engineer at IBM Labs, 3× Patent Holder, and innovator in telemetry and distributed systems. Passionate about Observability, APM, IoT, and Automotive solutions. Skilled in Microservices, Kubernetes, Java, Kafka, and modern data stacks.

Tuesday June 16, 2026 10:00am - 10:20am IST
206

Analytics + Security + Observability

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

10:00am IST

From Keyword Hell To Semantic Heaven: Building Intelligent Search With OpenSearch Vector Search - Karan Yadav, Microsoft

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

204

Your users search for “comfortable shoes for standing all day” and get shoe polish. 30% of searches return zero results even when products exist. This is keyword hell, costing you customers daily.

This session reveals how we transformed Adobe Commerce search using OpenSearch’s vector search capabilities. Learn the complete technical journey, including text embeddings, k-NN similarity, and hybrid search that combines keyword precision with semantic understanding.

We’ll cover the architecture, including vector indexing with FAISS and Lucene, ingest pipelines for automatic embedding generation, and query-time optimization.

Honest challenges included computational costs, embedding model selection through sentence-transformers comparisons, dimension tradeoffs between 384 and 768, cold start problems, and explainability to stakeholders.

You’ll get actionable knowledge such as exact OpenSearch configurations, PPL queries for semantic search, hybrid scoring strategies, open-source model recommendations, and cost optimization for Indian startups, with $30 per month infrastructure compared to $200 or more for managed vector databases.

Speakers

Karan Yadav

Software development engineer 2, Microsoft

Karan Yadav is a Software Engineer with 5+ years of experience building scalable, high-impact systems across Big Tech. Currently an SDE-2 at Microsoft, he works on Product platforms and ML-driven recommendation systems improving feature adoption and user experience. Previously at... Read More →

Tuesday June 16, 2026 10:00am - 10:20am IST
204

Search & Apache Lucene

10:30am IST

How Search Infrastructure Powers Modern AI Assistants and Knowledge Systems - Priyanshi Omer, AWS & Neel Shah, StackGen

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

204

Modern AI assistants and knowledge systems rely heavily on high-quality retrieval to provide accurate and contextual responses. While large language models generate answers, it is the underlying search infrastructure that retrieves relevant information and grounds AI outputs in real data.
In this session, we explore how modern AI applications use search infrastructure as the backbone of their intelligence layer. We will examine the architectural patterns that combine OpenSearch with embeddings, vector search, and hybrid retrieval to power knowledge assistants, enterprise search systems, and AI copilots.
The talk will walk through the evolution of search infrastructurfrom traditional keyword-based search to semantic retrieval and retrieval-augmented generation (RAG). We will discuss key design considerations such as document chunking strategies, embedding pipelines, hybrid ranking approaches, and relevance tuning required to build reliable AI systems.

Attendees will also learn how it enables scalable retrieval pipelines that support real-time indexing, vector similarity search, and metadata filtering—capabilities that are essential for powering AI-driven knowledge systems at scale.

Speakers

Priyanshi Omer

Solution Architect, AWS

Priyanshi Omer is a Solution Architect at AWS, based in Bengaluru, specializing in Analytics and OpenSearch. She helps customers build scalable search applications and analytics solutions, guiding them through workload migrations and optimizing their clusters for improved performance... Read More →

Neel Shah

Developer Advocate, StackGen

A DevOps engineer with a great passion for building communities around DevOps. Organiser of Google Cloud Gandhinagar, CNCF Gandhinagar, Hashicorp User Group Gandhinagar and Open Source Weekend. Have mentored 15+ hackathons and open source programs. I have given more than 15 talks... Read More →

Tuesday June 16, 2026 10:30am - 11:10am IST
204

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

10:30am IST

Performance Improvement: Lucene Bulk Collection and gRPC Search in Action - Abdul Muneer Kolarkunnu, NetApp InstaClustr & Sakshi Nasha, Cohesity

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

206

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.

Speakers

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 →

Sakshi Nasha

Senior Software Engineer, Cohesity

Sakshi Nasha is a Software Engineer with a passion for building software and driving diversity in tech. An open-source enthusiast and OpenSearch Ambassador, she actively contributes to FOSS communities and speaks internationally on topics including GO, APIs, Security, PostgreSQL and... Read More →

Tuesday June 16, 2026 10:30am - 11:10am IST
206

Search & Apache Lucene

11:10am IST

Break

Tuesday June 16, 2026 11:10am - 11:35am IST

Level 2 Foyer

Tuesday June 16, 2026 11:10am - 11:35am IST
Level 2 Foyer

Breaks + Networking + Special Events

11:35am IST

From Noisy Logs To Actionable Insights: AI-Assisted Observability With Fluent Bit, OpenSearch & RAG - Jeevitha G, Juniper Networks

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

204

Modern Kubernetes platforms generate massive volumes of logs, yet most teams still rely on keyword searches and dashboards to debug production issues. This slows down incident response and hides valuable operational knowledge inside unstructured data.

In this talk, we’ll demonstrate how to build an AI-assisted observability pipeline using Fluent Bit, OpenSearch, and Retrieval-Augmented Generation (RAG) to transform raw logs into queryable, contextual insights. We’ll walk through a cloud-native architecture that streams logs from Kubernetes workloads, enriches and indexes them in OpenSearch, and uses RAG to answer operational questions in real time.

Attendees will see how this approach helps SREs and platform teams reduce MTTR, improve root-cause analysis, and move from reactive troubleshooting to proactive observability—using open-source, CNCF-aligned tooling.

Speakers

Jeevitha G

Staff Software Engineer, Juniper Networks

Jeevitha G is an Observability Engineer building AI-driven monitoring platforms with OpenSearch and cloud-native technologies. She focuses on transforming large-scale logs into intelligent insights using RAG, Fluent Bit, and search-centric architectures. At OpenSearchCon India, she... Read More →

Tuesday June 16, 2026 11:35am - 12:15pm IST
204

Analytics + Security + Observability

11:35am IST

Securing Code at Scale: AI-Powered Security Analytics With OpenSearch and Agentic Workflows - Hitesh Subnani, AWS & Bhoomika Manghwani, SupplyHouse

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

206

This session explores how to build a comprehensive code security platform using OpenSearch's powerful analytics capabilities enhanced with AI agentic workflows. I'll demonstrate how to implement a system that continuously monitors, analyzes, and remediates security vulnerabilities across your codebase. Attendees will learn how to leverage OpenSearch for storing and analyzing code security telemetry, while implementing agentic AI workflows that autonomously identify patterns, prioritize vulnerabilities, and suggest remediation strategies.

Key topics include:
• Configuring OpenSearch for efficient storage and querying of code security data
• Implementing vector search to identify similar vulnerability patterns across repositories
• Building AI agents that autonomously scan, analyze, and classify security issues
• Creating agentic workflows that coordinate specialized security analysis tasks
• Developing automated remediation suggestions using LLM-powered agents
• Visualizing security insights through OpenSearch Dashboards

This session provides a practical blueprint for security teams looking to scale their code security.

Speakers

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 →

Bhoomika Manghwani

SDET, SupplyHouse

I’m an SDET who loves turning complex problems into reliable automation solutions. Curious about AI, databases, and emerging technologies, I contribute to open source, enjoy talking about AI, and believe in learning by teaching.

Tuesday June 16, 2026 11:35am - 12:15pm IST
206

Analytics + Security + Observability

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

Observability for AI Agents: Using OpenSearch To Debug Autonomous Systems - Pushkar Mishra, OpenText

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

204

Modern AI agents generate massive operational telemetry: prompts, tool executions, policy decisions, and execution outcomes. Without strong indexing and analytics, debugging and governing these systems becomes extremely difficult.

This talk presents a practical architecture for operating autonomous systems at scale using OpenSearch as the observability and decision-intelligence backbone.

We explore an AgentOps architecture where OpenSearch indexes agent traces, policy decisions, incident telemetry, and execution evidence to enable real-time debugging, safety enforcement, and auditability.

Topics covered include building searchable “decision traces” for AI agents, designing observability pipelines for autonomous systems, using OpenSearch for policy audits and incident forensics, and scaling analytics for multi-agent operations.

Attendees will learn concrete patterns for using search and analytics infrastructure to make AI-driven systems observable, debuggable, and governable in production.

Speakers

Pushkar Mishra

Principal Site Reliability Engineer, OpenText

Pushkar Mishra is a Principal Site Reliability Engineer and Enterprise GenAI Architect working on large-scale AI platforms, multi-agent systems, and autonomous operations. His work focuses on building governed AI infrastructure combining SRE reliability practices, observability, and... Read More →

Tuesday June 16, 2026 12:25pm - 12:45pm IST
204

Analytics + Security + Observability

12:25pm IST

One Click To Observe Them All: Auto-Instrumenting LLMs With OpenTelemetry and OpenSearch - Aditya Soni, SailPoint & Anshika Tiwari, Amazon Web Services

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

206

Large Language Models (LLMs) power some of today’s most advanced AI applications-from chatbots to intelligent copilots-yet monitoring their complex behavior remains a major challenge. This session demonstrates how OpenTelemetry’s auto-instrumentation capabilities, combined with OpenSearch’s powerful analytics, provide end-to-end observability for LLM-based systems.

You’ll learn how to automatically collect rich telemetry data-traces, metrics, and logs-from your LLM applications with minimal manual effort using OpenTelemetry and libraries like OpenLIT. See how this data flows into OpenSearch, enabling real-time analysis, anomaly detection, and performance monitoring tailored specifically for AI workloads.

By the end of this talk, you will get the tools and best practices to build scalable, AI-driven observability pipelines that keep your LLM applications reliable and performant.

Speakers

Aditya Soni

CNCF Ambassador, Senior DevOps Engineer, SailPoint

Aditya Soni is a DevOps/SRE tech professional He worked with Product and Service based companies including Red Hat, Forrester Research, Searce, and is currently positioned at SailPoint as a Senior DevOps Engineer. He holds AWS, GCP, Azure, RedHat, and Kubernetes Certifications.He... Read More →

Anshika Tiwari

CSA - Cloud Engineer, Amazon Web Services, Inc.

Anshika is a passionate DevOps/SRE Engineer who is always eager to learn & implement cloud-native solutions, she has contributed to streamlining deployment processes and enhancing system reliability. She is eager to share her experiences and insights at conferences, contributing to... Read More →

Tuesday June 16, 2026 12:25pm - 12:45pm IST
206

Analytics + Security + Observability

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

8:30am IST

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9:30am IST

9:30am IST

9:30am IST

10:00am IST

10:00am IST

10:00am IST

10:30am IST

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11:10am IST

11:35am IST

11:35am IST

11:35am IST

12:25pm IST

12:25pm IST

12:25pm IST

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