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IN PERSON Apache Kafka® Meetup Hyderabad - Oct 2026
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IN PERSON Apache Kafka® Meetup Hyderabad - Oct 2026

Hosted by Hyderabad Apache Kafka® Ecosystem Meetup by Confluent

Saturday 31 October 2026, 10:30

Venue time (Kolkata)

DevX · Directions

Saturday 31 October 2026, 10:30Venue time (Kolkata)
FreeTickets sold by meetup.com
Sold out — view event pagevia meetup.com
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Downloads an .ics file · Times are in Asia/Kolkata · Google Calendar

Hey, how's it going? IN PERSON Apache Kafka® Meetup Hyderabad - Oct 2026 looks like it should be pretty interesting. Want me to help you organise around it?

Event details

Tickets sold by meetup.com

Add to calendar · Downloads an .ics file · Times are in Asia/Kolkata · Google Calendar

Hello everyone! Join us for an IN PERSON Apache Kafka® meetup on Oct 31 from 10:30 am hosted by DevX!

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Venue: DevX - 4th Floor, Purva Summit, Kondapur, Whitefields, HITEC City, Hyderabad, Telangana 500081

Whatsapp Community: https://chat.whatsapp.com/C2FtuHPgmCBFP0YhAzFkmB

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Agenda:

10:30: Doors Open
11:00 AM to 11:10 AM: Welcome by Harsh Gulati
11:10 AM to 12:10 PM: Snigdha Kashyap, Software Engineer 2 @Expedia Group
12:10 PM to 13:10 PM: Vasavi, Senior Software Development Engineer @ F5 Networks
13:10 PM to 13:30 PM: QA & Networking
13:30 PM to 14:30 PM: Lunch

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💡 Speaker:
Snigdha Kashyap, Software Engineer 2 @Expedia Group

Talk:
Kafka Consumers on Fire: Troubleshooting Real-World Failures

Abstract:
Kafka is easy to start with, but production consumer pipelines get challenging as traffic grows and downstream services slow down.
In this session, we’ll explore real-world Kafka challenges, including consumer lag, partitioning, concurrency, rebalances, retries, and duplicate processing. We’ll also cover monitoring, bottleneck identification, and building resilient consumers that recover gracefully from failures.
The goal is to help engineers confidently debug and operate Kafka-based systems in production.

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💡 Speaker:
Vasavi, Senior Software Developement Engineer @ F5 Networks

Talk:
Kafka Share Groups: Choosing Between Queues and Streams

Abstract:
Learn how Apache Kafka Share Groups (Kafka 4.2) enable queue-style processing without a separate messaging system. Explore parallel processing beyond partition limits, individual record acknowledgements, retries, and failure handling through a live demo.
The session covers operational best practices, trade-offs, and a practical guide to choosing between Share Groups, Consumer Groups, and traditional message queues. Attendees will leave with a clear understanding of when and how to use Share Groups in real-world Kafka applications.

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If you would like to speak or host our next event please let us know! [email protected]

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