IN PERSON! Apache Kafka® Meetup Coimbatore - May 2026

Hello everyone! Join us for our first IN PERSON Apache Kafka® meetup on May 16 from 11 am, hosted by iamneo in Coimbatore!

📍 Venue:
iamneo.ai office address - Training Hall

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Agenda:

• 11:00 - 11:15: Doors Open & Welcome
• 11:15 - 12:15: Sharang Ramana G, Advisory Solutions Engineer, Confluent
• 12:15 - 13:15: Siva Bagavathi, Co-Founder & CEO, GuhaTek
• 13:15 - 14:00: Lunch

If you would like to speak at or host a meetup please let us know! community@confluent.io

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💡 Speaker:
Sharang Ramana G, Advisory Solutions Engineer, Confluent

Talk:
RAG in Motion: Why Your AI Is Already Stale and How Kafka and Flink Can Fix It

Abstract:
Most RAG systems work on stale data because their knowledge pipelines update in batches. But real-world systems generate events continuously, and AI applications need fresh context to stay useful.

In this talk, we’ll explore how Kafka and Flink can power real-time RAG architectures by continuously processing streams, updating knowledge pipelines, and enabling AI systems to react to data the moment it changes.
We’ll cover practical patterns, streaming architectures, and how real-time AI systems are evolving beyond traditional batch pipelines.
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💡 Speaker:
Siva Bagavathi, Co-Founder & CEO, GuhaTek

Talk:
Kafka as the Backbone for AI-Driven Observability

Abstract
Modern systems generate massive volumes of logs, metrics, traces, and events — but most observability platforms still struggle with noisy alerts, fragmented telemetry, and delayed incident response. As organizations move toward AI-assisted operations and autonomous SRE workflows, the need for real-time, scalable, and replayable telemetry pipelines becomes critical.

In this session, we’ll explore how Apache Kafka can serve as the central nervous system for AI-driven observability architectures.

We’ll walk through how streaming telemetry data through Kafka enables:

• real-time anomaly detection
• intelligent alert correlation
• AI-powered incident summarization
• telemetry enrichment
• scalable observability pipelines

The talk will cover practical architectures integrating:

• OpenTelemetry
• Kafka Streams / Apache Flink
• vector databases
• LLM-powered operational intelligence systems.

We’ll also discuss key engineering challenges such as high-cardinality data, partitioning strategies, retention design, backpressure handling, and inference latency in streaming environments.

Attendees will leave with a blueprint for building modern, event-driven observability systems that go beyond dashboards — toward intelligent, proactive operations.

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If you would like to speak or host our next event please let us know! community@confluent.io