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Explore our lineup of must-see sessions

Current 2026 features an exciting schedule of lightning talks, workshops, and breakout sessions that will transform the way you work.

Full agenda will be available soon! 

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Session Type
Track
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Intermediate · Kafka Operations
Breakout Session
Now Streaming Live

Surviving the Surge: Netflix's playbook for Kafka Resilience

Hadar Federovsky, Akamai / Yulia Antonovsky, Akamai
Intermediate · Analytics Platforms
Lightning Talk
Now Streaming Live

2026 Flink Community Checkpoint

Hadar Federovsky, Akamai / Yulia Antonovsky, Akamai
Intermediate · Data Streaming
Breakout Session
Now Streaming Live

Handling Surges in Petabyte-Scale Streaming Systems by Doing Nothing

Hadar Federovsky, Akamai / Yulia Antonovsky, Akamai
Advanced · Data Streaming
Breakout Session
Now Streaming Live

State of Grace: Transactional State Stores and the End of EOS Recovery Pain in Kafka Streams

Hadar Federovsky, Akamai / Yulia Antonovsky, Akamai
Intermediate · Kafka Operations
Breakout Session
Now Streaming Live

Cluster Mirroring: Rethinking Cross-Cluster Replication from Inside the Broker

Hadar Federovsky, Akamai / Yulia Antonovsky, Akamai
Intermediate · LLMs and AI Agents
Breakout Session
Now Streaming Live

The Streaming AI Paradigm: Powering Event-Driven Agents at LinkedIn

Hadar Federovsky, Akamai / Yulia Antonovsky, Akamai
Organized by Confluent
Hadar Federovsky
Akamai
Swaroop Oggu from Databricks as part of the Current Keynote
Hadar Federovsky
Akamai
Keynote
Now Streaming Live

Stream On: From Bottlenecks to Streamline with Kafka Streams Template

Tuesday, May 20, 2025
5:30 PM - 6:15 PM
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How do you make 10TB of data per hour accessible, scalable, and easy to integrate for multiple internal consumers? In this talk, we’ll share how we overcame storage throughput limitations by migrating to Kafka Streams and developing a unified template application. Our solution not only eliminated bottlenecks but also empowered internal clients to build reliable Kafka Streams applications in just a few clicks—focusing solely on business logic without worrying about infrastructure complexity. We’ll dive into our architecture, implementation strategies, and key optimizations, covering performance tuning, monitoring, and how our approach accelerates adoption across teams. Whether you're managing massive data pipelines or seeking to streamline access for diverse stakeholders, this session will provide practical insights into leveraging Kafka Streams for seamless, scalable data flow.

Location
Breakout Room 6
Level
Intermediate
Audience
Data Engineer/Scientist, Developer, Executive (Technical)
Track
Apache Kafka

Mike Araujo

Principle Engineer, Medidate Solutions

How do you make 10TB of data per hour accessible, scalable, and easy to integrate for multiple internal consumers? In this talk, we’ll share how we overcame storage throughput limitations by migrating to Kafka Streams and developing a unified template application. Our solution not only eliminated bottlenecks but also empowered internal clients to build reliable Kafka Streams applications in just a few clicks—focusing solely on business logic without worrying about infrastructure complexity. We’ll dive into our architecture, implementation strategies, and key optimizations, covering performance tuning, monitoring, and how our approach accelerates adoption across teams. Whether you're managing massive data pipelines or seeking to streamline access for diverse stakeholders, this session will provide practical insights into leveraging Kafka Streams for seamless, scalable data flow.

Speaking at
Unified CDC Ingestion and Processing with Apache Flink and Iceberg
Tuesday, May 20, 2025 | 5:30 PM - 6:15 PM
Links at