IN PERSON! Apache Kafka® Meetup Pune - Aug 2025

Hello everyone! Join us for an IN PERSON Apache Kafka® meetup on Aug 30th from 11:00 am, hosted by NonStop io Technologies!

📍 Venue:
NonStop io Technologies,
Office # 317-319-320, Panchshil SOHO,
Tower-C, Opp. YOO VILLAS, Kharadi, Pune, Maharashtra 411014

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Agenda:

• 11:00am - 11:10am: Registration & Welcome
• 11:10am - 11:50am: Aniruddha Ramane, Software Engineer, NonStop io Technologies
• 11:50am - 12:30pm: Arnold Parge, Technical Lead, NonStop io Technologies
• 12:30pm - 12:40pm: Break
• 12:40pm - 13:20pm: Yogesh Sharma, Sr. Technical Instructor, Confluent
• 13:20pm - 14:30pm: Snack and Networking

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:
Aniruddha Ramane, Software Engineer, NonStop io Technologies

Talk:
Kafka vs Traditional Messaging Systems: Why Kafka Wins

Abstract:
This talk will cover the differences between Apache Kafka and traditional messaging systems like RabbitMQ, ActiveMQ, and JMS-based brokers. It will explain how each system works, compare their architectures, and highlight their strengths and weaknesses. The session will focus on Kafka’s advantages in terms of scalability, durability, performance, and real-time processing. It will also include common use cases and help the audience understand when and why Kafka is the better choice.

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💡 Speaker:
Arnold Parge, Technical Lead, NonStop io Technologies

Talk:
Building Blocks of Kafka: Clusters, Topics & More Explained

Abstract:
The session will cover the details about its important components like cluster, topic, partition, broker, replica. How they relate to each other. What are the caveats. etc.

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💡 Speaker:
Yogesh Sharma, Sr. Technical Instructor, Confluent

Talk:
Kafka or Flink? Select the Right Tool for Real-Time Data

Abstract:
In the era of real-time data processing, organizations often face the challenge of selecting the right tools to handle massive streams of information. Apache Kafka and Apache Flink are two leading technologies that serve different but complementary purposes in modern data architectures. Kafka excels as a distributed messaging system, ensuring reliable, scalable event streaming and storage. Flink, on the other hand, specializes in stateful stream processing, enabling advanced analytics and real-time computations. We will explore the strengths, limitations, and ideal use cases of both platforms to help practitioners make informed decisions when designing real-time data pipelines.

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