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Join us in person on Apache Kafka® meetup on June 21, 2025 from 11:00 am, hosted by SID Global Solutions in Hyderabad!

Agenda:

• 11:00 AM – 11:15 AM: Introduction & Welcome
• 11:15 AM – 12:45 PM: Diptiman Raichaudhuri, Staff Developer Advocate, Confluent
• 12:45 PM – 1:30 PM: Anji Narra, Staff Technical Support Engineer, Confluent
• 1:30 PM – 2:30 PM : Lunch and Networking

Speaker:

Diptiman Raichaudhuri, Staff Developer Advocate, Confluent

Talk:
Kafka Internals + MCP – Kafka operations using natural language

Abstract:
Explore a quick overview of Apache Kafka for storing streaming data.

Understand how storage and processing of streaming data using Apache Kafka and Apache Flink enables quicker insights for downstream applications.

Armed with the knowledge of Kafka and Flink, learn what Model Context Protocol (MCP) from Anthropic is, from grounds-up.

Watch live code of writing MCP servers and MCP clients in python.
Also explore how MCP and Generative AI using Anthropic Claude automates Apache Kafka operations.

Bio:
Developer Advocate at Confluent, ex-AWS Data Analytics Specialist, ex-Google Cloud – Data platform specialist. Designed and implemented ‘Modern Data Platform’ for large scale enterprise use cases. Worked at the intersection of Data(Spark, Flink, Kafka, Kinesis, Redshift, Iceberg, Glue, Hive) and AI(pytorch,sagemaker,vertex ai,kubeflow, LLMs) at cloud scale (AWS and Google Cloud).

Speaker :

Anji Narra, Staff Technical Support Engineer, Confluent

Talk:
Kafka Broker Internals + Tuning configurations for Optimal performance

Abstract:
This session would discuss the Kafka Broker internals, various configuration parameters that would impact the broker performance and various JMX Metrics that can be monitored.

Bio:
Anji Narra has been working as a Technical Support Engineer with Confluent for 6 years and has helped several customers to tune their Kafka/Confluent Platform clusters for better performance. He was a performance Engineer prior to switching to Technical Support for more than a decade.

Don’t miss this opportunity to learn, connect, and explore the future of streaming data.