IN-PERSON: Kafka Streams/Building State Store for Event Streaming Applications

Hello streamers! Please join us for an IN-PERSON Apache Kafka® meetup on Thursday, Nov 30th 2023, hosted by our friends at Austrian Post AG!

*Important Note: Registration for this meetup will close on Nov 28th. Please register with your full name as a list of registered attendees will be provided to the host two days prior to the meetup for entry into the building on event day.

🎄 Not an official dress code, but if you're in the mood for some holiday fun, feel free to show up in your ugly Christmas sweaters!

📍Venue:
Austrian Post AG
Rochusplatz 1
1030 Vienna

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🗓 Agenda:

• 5:30pm: Doors open
• 5:30pm – 6:00pm: Drinks and networking
• 6:00pm - 6:45pm: Building State Store for Event Streaming Applications, Jan Svoboda, Senior Solutions Engineer, Confluent
• 6:45pm - 7:30pm: Kafka Streams for the rest of us, Martin Schwarz, Software Engineer, SQUER Solutions GmbH
• 7:30pm - 9:00pm: Additional Q&A, Snacks and Networking

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💡 Speaker One:
Jan Svoboda, Senior Solutions Engineer, Confluent

Title of Talk:
Building State Store for Event Streaming Applications

Abstract:
What is the most difficult part of developing event streaming applications? Managing and maintaining the state of your streaming data. This session dives into the diverse landscape of state store solutions for event streaming applications.
We'll explore different options available, from native state stores within streaming frameworks of Kafka Streams and Apache Flink to external data stores. We'll discuss the trade-offs of each approach, including considerations of scalability, latency, consistency, and query capabilities.
Live demo is included to show some practical examples of working with your State Stores.

Bio:
Jan Svoboda works as Solutions Engineer at Confluent. In his role he helps organisations to build Apache Kafka based Event Streaming solutions. His specialities are Spring Boot microservices and Event Driven architectures. Before that he worked as Platform Architect at Pivotal where he was helping customers in Europe to adopt microservices architectures and to build application runtime platforms based on Cloud Foundry and Kubernetes.

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💡Speaker Two:
Martin Schwarz, Software Engineer, SQUER Solutions GmbH

Title of Talk:
Kafka Streams for the rest of us

Abstract:
Kafka streams is a well-established framework for stream processing and has seen steadily increasing adoption over the past years.
In this session, we will delve into the internals of Kafka streams and the key concepts you as a developer need to master to apply it effectively. We compare stateful and stateless processing and their implications and further explore how thinking in streams can provide a natural way to approach a problem. To drive these concepts home, we'll round off with tangible code examples addressing real-world challenges.
By the end of the talk, participants will be equipped with a better understanding of essential stream processing concepts and a heuristic on identifying suitable use cases.

Bio:
Martin is a software engineer at SQUER Solutions, a Vienna-based software consulting company. He is driven by curiosity about technology, building products people actually like to use, and learning new things. His daily work revolves around helping clients to evolve their systems and structures. In his previous career, he was active in finance and management consulting, before finding his passion in software development.

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DISCLAIMER
BY ATTENDING THIS EVENT IN PERSON, you acknowledge that risk includes possible exposure to and illness from infectious diseases including COVID-19, and accept responsibility for this, if it occurs.
NOTE: We are unable to cater for any attendees under the age of 21.

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If you would like to speak or host our next event please let us know! community@confluent.io