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Hello everyone! Join us for an IN PERSON Apache Kafka® meetup in collaboration with React Hyderabad and Juicer Technology on July 19th from 11:00 am hosted by EPAM!

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Venue:
EPAM Systems, 11th floor, Orwell U3, Salarpuria Sattva Knowledge City, Serlingampally Mandal, Hyderabad, Telangana 500081
Entry: Gate # 8
https://share.google/V5locgcAJb9ai1ago

POC: Jitin Chugh (+91 958 231 6005)

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Agenda:

  • 10:30: Doors Open
  • 11:00 AM to 11:10 AM: Welcome by Harsh Gulati
  • 11:10 AM to 11:40 AM: Bhuvana Tirumuneedi, Senior Software Engineer, Elastic
  • 11:40 AM to 12:10 PM: Jitin, EPAM
  • 12:10 PM to 12:25 PM: Break
  • 12:25 PM to 12:55 PM: Shwethan Raju, Senior Consultant, Deloitte
  • 12:55 PM to 13:25 PM: Ganesh Datta, Senior Software Engineer, Confluent
  • 13:25 PM to 14:30 PM: Lunch

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💡 Speaker:
Bhuvana Tirumuneedi, Senior Software Engineer, Elastic

Talk:
From Kafka Events to Elastic Cloud Insights

Abstract:
This session will walk through building a local Kafka and Logstash pipeline that streams JSON log events from a Python producer into Elastic Cloud, where they can be searched and visualized in Kibana.

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💡 Speaker:
Shwethan Raju, Senior Consultant, Deloitte

Talk:
Kafka for AI: Building Production-Grade GenAI & Agentic AI Systems

Abstract:
Explore how Apache Kafka powers modern AI applications beyond simple chatbots. This session covers how event driven architectures enable scalable GenAI, RAG, and Agentic AI systems using real-world patterns such as asynchronous processing, AI pipelines, multi-agent communication, and real-time data streaming. Through practical architecture examples from banking, cybersecurity, healthcare, and enterprise AI, attendees will learn how Kafka helps build resilient, scalable, and production ready AI platforms.

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💡 Speaker:
Jitin, EPAM

Talk:
Live use-cases and orchestrating Agent Fleets with Kafka

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💡 Speaker:
Ganesh Datta, Senior Software Engineer, Confluent

Talk:
Exactly Once Semantics in Kafka Connect

Abstract:
Exactly-Once Semantics (EOS) in Kafka Connect guarantees zero duplicates and zero data loss from source systems to Kafka, even during crashes or rebalances. It uses KIP-618's transactional producers, atomic offset commits, and zombie fencing to ensure every record is delivered precisely once — eliminating downstream deduplication complexity.

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

Related topics

Events in Hyderabad, IN
Apache Kafka
Big Data
Stream Processing
Open Source
Apache Flink

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