IN PERSON! Apache Kafka® Meetup Pune - April 2025

Hello everyone! Join us for an IN PERSON Apache Kafka® meetup on April 12th from 11:00 am, hosted by Pattern Technologies!

📍 Venue:
Pattern Technologies India Private Limited,

14th Floor Panchshil Avenue, Survey No. 210, Plot No. 71, Kalyani Nagar- Wadgaon Sheri Rd, Marigold complex, Yerawada, Pune, Maharashtra.

Google Maps Link: https://maps.app.goo.gl/P2Kr1zLqEQDgue6a6

Note:
Two wheeler parking is at P1
Four wheeler parking is at B2

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Agenda:

• 11:00am - 11:20am: Registration & Welcome
• 11:20am - 12:00pm: Zameer Fouzan, Lead Developer Relations Engineer, New Relic
• 12:00pm - 12:40pm: Unnati Chhabra, Senior Software Development Engineer, Paysecure
• 12:40pm - 14:00pm: Lunch

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

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💡 Speaker:
Zameer Fouzan, Lead Developer Relations Engineer, New Relic

Talk:
Unlocking Observability in Apache Kafka-Based Systems with OpenTelemetry

Abstract:
Distributed tracing is essential for tracking requests across micro-services. But when it comes to Kafka’s decoupled producers, consumers, and asynchronous processes, tracing a transaction from start to finish isn’t always straightforward.In this talk, we will go th rough how to monitor Kafka-based applications using distributed tracing with OpenTelemetry. By leveraging tools like Jaeger and New Relic, we’ll uncover how to gain a full view of your micro-services, even in the face of Apache Kafka’s asynchronous nature. we’ll also walk through both automatic and manual instrumentation to capture rich telemetry.

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💡 Speaker:
Unnati Chhabra, Senior Software Development Engineer, Paysecure

Talk:
Kafka Internals: How It Works Under the Hood

Abstract:
Key Takeaways

1. Kafka’s Core Architecture
   • How Kafka organizes data into topics, partitions, and segments.
   • The role of brokers, producers, and consumers in message flow.
2. How Kafka Ensures Durability and Fault Tolerance
   • Log-based storage and replication strategies.
   • Leader and follower partitions, ISR (In-Sync Replicas).
3. Deep Dive into Kafka’s Write and Read Path
   • How producers send data, partitioning strategies, and message ordering.
   • How consumers fetch data, consumer groups, and rebalancing mechanisms.
4. Kafka’s Performance Optimization Techniques
   • Zero-copy transfer (page cache & sendfile).
   • Log segment retention, compaction, and cleanup strategies.
5. How Kafka Handles Failures and Leader Elections
   • Controller role and Zookeeper (or KRaft) for leader election.
   • Broker failures, leader re-election, and partition reassignment.

Bio:
TBC

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DISCLAIMER BY ATTENDING THIS EVENT IN PERSON, you acknowledge that risk includes possible exposure to and illness from infectious diseases including COVID-19, and accept responsibility for this, if it occurs.

As the classroom is a mask-on setting, please be reminded that masks should still be worn at all times unless actively eating or drinking

NOTE: We are unable to cater for any attendees under the age of 18.

***If you would like to speak or host our next event please let us know! community@confluent.io (http://confluent.io/)