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Online Talk

The State of Stream Processing

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Available On-Demand

The demand for ‘real-time’ is now a strategic imperative for the C-suite, not just a nice-to-have. But what has changed, and how does this new operational paradigm impact developers and architects? A delay of milliseconds can directly impact revenue, and event-driven architectures are key to breaking down complex IT silos.

Join our panel of industry experts for a discussion on the state of stream processing. We’ll move beyond the buzzwords to cover the practical requirements and future direction of building with streaming data.

In this webinar, you’ll learn:

  • Why Stream Processing Now: Understand the shift to event-driven paradigms and why it's critical for modern data infrastructure.
  • Requirements for Mission-Critical Systems: Discover what to look for in a stream processing engine like Apache Flink for building stateful, resilient applications.
  • The Future of Development: Get insights into what’s next, from the role of serverless to stream processing’s role as the backbone for real-time AI and the streaming lakehouse.
  • Avoiding Common Pitfalls: Hear about the biggest mistakes organizations make and learn how managed platforms can tame complexity and control TCO.
Yaroslav TkachenkoFounder, Irontools

As a tech lead in the data engineering space since 2018, Yaroslav Tkachenko has built large-scale data platforms and streaming data pipelines for some of the biggest names in their industries. His work has powered the iconic Call of Duty games at Activision and shaped e-commerce experiences at Shopify. His expertise spans the entire stack, from running Apache Kafka on bare metal to building intuitive dashboards and UIs. In 2025, Yaroslav embarked on a solo journey, founding his own company called Irontools. Listeners can follow his progress and gain insights from his newsletter, the "Data Streaming Journey."

Olena KutsenkoStaff Developer Advocate, Confluent

Olena is a Staff Developer Advocate at Confluent and a recognized expert in data streaming and analytics. With two decades of experience in software engineering, she has built mission-critical applications, led high-performing teams, and driven large-scale technology adoption at industry leaders like Nokia, HERE Technologies, AWS, and Aiven. A passionate advocate for real-time data processing and AI-driven applications, Olena empowers developers and organizations to use the power of streaming data. She is an AWS Community Builder, a dedicated mentor, and a volunteer instructor at a nonprofit tech school, helping to shape the next generation of engineers.

Gunnar MorlingPrincipal Technologist, Confluent

Gunnar Morling is a software engineer and open-source enthusiast by heart, currently working as a Technologist at Confluent. Previously, he helped to build a realtime stream processing platform based on Apache Flink and led the Debezium project, a distributed platform for change data capture. He is a Java Champion and has founded multiple open source projects such as JfrUnit, kcctl, and MapStruct. Gunnar is an avid blogger (morling.dev) and has spoken at various conferences like QCon, Java One, and Devoxx. He lives in Hamburg, Germany.