IN PERSON! Apache Kafka® Meetup Bangalore- Aug 2025

Hello everyone! Join us for an IN PERSON Apache Kafka® meetup on Aug 23rd from 11:00AM, hosted by Nutanix in Bangalore!

📍 Venue:
Nutanix Technologies India Pvt Ltd
9th, MERCURY BLOCK, PRESTIGE TECH PARK, Marathahalli - Sarjapur Outer Ring Rd, Marathahalli, Kadubeesanahalli, Bengaluru, Karnataka 560103

IMPORTANT:
Please make sure to fill out this form for security purposes to enter the venue

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Agenda:

• 11:00 - 11:10: Welcome
• 11:10 - 11:35: Uttam Agarwal, Engineering Leader, Nutanix & Bhupesh Soni, MTS 3, Nutanix
• 11:35 - 12:15: Parth Agarwal, Senior Software Engineer, Confluent
• 12:15 - 12:30: Break
• 12:30 - 13:10: TBC
• 13:10 - 14:10: Lunch

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💡 Speaker:
Uttam Agarwal, Engineering Leader, Nutanix & Bhupesh Soni, MTS 3, Nutanix

Talk:
Kafka Resequencer – Reordering the Chaos

Abstract:
In the world of distributed systems, events rarely arrive in perfect order. Network delays, retries, and system hiccups can cause out-of-order events, leading to inaccurate downstream processing.
To address this, we built a Kafka-based resequencing mechanism using the Kafka Streams Processor API. This robust solution:

• Uses RocksDB as a persistent state store
• Leverages Kafka Streams' built-in scheduler for time-based buffering
• Applies versioning logic to reorder events correctly
• Ensures eventual consistency with low latency
• Supports high-throughput and seamless scalability

Whether you're building real-time analytics, transaction pipelines, or event-driven applications, this architecture provides a resilient and efficient path to handle out-of-order data.

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💡 Speaker:
Parth Agarwal, Senior Software Engineer, Confluent

Talk:
Metrics pipeline using Kafka and Flink

Abstract:
Confluent's Observability Pipeline for handling metrics leverages Apache Kafka to process telemetry and operational metrics at massive scale. This talk offers a behind-the-scenes look at how Kafka powers real-time observability and analytics for Confluent Cloud, enabling features like monitoring, billing, alerting, and data science across distributed environments. The session will cover architecture patterns, consumption via Druid and MetricsAPI, advanced pre-aggregation and streaming via Flink, practical wins and challenges at scale. Pre-requisites: Basic understanding of Kafka and observability concepts, like metrics.

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💡 Speaker:
TBC

Talk:
TBC

Abstract:
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