Data AI & Observability
Details
Join us for an engaging Data, AI & Observability Meetup in Chennai, bringing together data engineers, AI practitioners, and observability enthusiasts from the community.
This event is organized in collaboration with the OpenSearch Chennai Community, creating an opportunity for professionals to exchange ideas, explore emerging trends, and connect with peers working in modern data and AI ecosystems.
Whether you are building AI-driven applications, managing large-scale data platforms, or exploring observability for modern systems, this meetup will provide valuable insights and networking opportunities.
Come learn, share, and connect with the vibrant data community in Chennai.
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### 📅 Event Details
Date: 4 April 2026
Time: 10:00 AM – 1:00 PM IST
Location: Cloudera Chennai Office
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### 🎯 What You’ll Gain
• Insights into modern Data & AI architectures
• Understanding of observability for data platforms and applications
• Real-world experiences from industry practitioners
• Opportunity to network with the OpenSearch and Data community
• Discussions with fellow engineers, architects, and technology leaders
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### 🗓️ Agenda
10:00 – 10:30 AM Registration & Settling In
Talk 1: 10:30 – 11:00 AM Syed Jafer K - Full Stack Developer at Bosch
Title: Search Relevance Engineering: Why Your Search Results Are Wrong
Desc: Have you ever searched for something and the results felt completely wrong, even though the correct answer exists? Building a search system is not just about finding information, it is about showing the most useful result first.
In this talk, we will explore why search results often go wrong and how engineers improve them. Using simple examples, we will see how search engines decide which results appear at the top and how small tweaks like understanding synonyms, giving importance to certain fields, or interpreting user intent can dramatically improve search quality.
Talk 2: 11:00 – 11:30 AM Suraj D **DevOps Engineer at ADP India
Title: Building Resilient OpenSearch Clusters with Cross-Cluster Replication
Desc: Modern applications depend heavily on search infrastructure, and reliability is critical. In this talk, we’ll explore how cross-cluster replication in Amazon OpenSearch can help build more resilient and fault-tolerant search systems.
We’ll look at practical strategies used in real environments to replicate data across clusters for high availability and disaster recovery.
The session will also cover different approaches for older and newer OpenSearch/Elasticsearch-compatible versions, helping teams design replication strategies that work in production.
If you're running OpenSearch in AWS or planning a reliable search architecture, this talk will give you practical insights and real-world learnings.
Talk 3: 11:30 – 12:00 PM Shruthi Murugesh - Solution Architect at SQ1
Title: AI Agents for Kubernetes
Desc: Managing Kubernetes can be complex and time-consuming. What if intelligent AI agents could help simplify it? In this talk, we’ll explore how AI agents can assist with Kubernetes operations by automating tasks like deployment, scaling, and monitoring. Learn how these intelligent systems can make managing applications on Kubernetes more efficient, reliable, and easier for developers and platform teams
Talk 4: 12:00 – 12:30 PM Vish Rajagopalan - Senior Field Specialist - Data Services & AI Cloudera
Title: Trust, but Verify: Why Your GenAI Needs a Performance Review
Desc: Everyone is building AI, but few are measuring it correctly. We’ll discuss why evaluations are the secret sauce of successful GenAI projects and how to build a governance framework that scales.
12:30 – 1:30 PM Lunch & Networking
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### 📢 Who Should Attend
• Data Engineers
• AI / ML Engineers
• Platform Engineers
• Observability Practitioners
• Developers working with data platforms
• Anyone interested in modern Data & AI technologies
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### 🍴 Food & Networking
Lunch will be provided, giving attendees a great opportunity to network with fellow community members and speakers.
RSVP now to secure your registration.