Name: IN PERSON! Apache Kafka® x Apache Flink® Meetup Frankfurt - June 2024
Start: 2024-06-11T18:00:00+02:00
End: 2024-06-11T20:30:00+02:00
Location: Thinkport GmbH

Join us for an Apache Kafka® x Apache Flink® meetup on Tuesday, June 11th from 6:00pm in Frankfurt hosted by Thinkport!

📍 **Venue:**
Thinkport GmbH
Arnsburger Str. 74
60385 Frankfurt am Main

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🗓 **Agenda:**

* 6:00pm: Entry
* 6:00pm-6:30pm: Food, Drinks & Networking
* 6:30pm-7:15pm: Dunith Danushka, Senior Developer Advocate, Redpanda
* 7:15pm-8:00pm: Danica Fine, Staff Developer Advocate, Confluent
* 8:00pm-8:30pm: Q&A & Networking

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💡 **Speaker One:**
Dunith Danushka, Senior Developer Advocate, Redpanda

**Title of Talk:**
Stream processing with Apache Kafka and Apache Flink

**Abstract:**
Join us for a comprehensive discussion on stream processing with Apache Kafka and Apache Flink. This talk is designed for those who have some working knowledge of Kafka and are looking to learn more about stream processing.

The first part of our talk will focus on introducing stream processing with Flink. We begin by discussing stateless operations in Flink. Then we dive into how Flink handles the state and time concepts, covering a range of topics including stateful aggregations, window processing, and joins. Furthermore, we will explore some advanced topics, such as fault tolerance, state checkpointing, and event time processing, shedding light on its importance in stream processing.

The second half of the talk transitions from theory to practice, and will be more hands-on. We will guide you through the process of building a Flink application in Java. This segment is designed to provide a practical understanding of how to write, build, and deploy an application to a Flink cluster. We will demonstrate how this application is set up to ingest data from a Kafka topic, deploy it to a Flink cluster, and monitor how it operates under various conditions.

This talk is an excellent opportunity to enhance your understanding of these powerful tools. It will equip you with the knowledge and skills needed to build robust stream processing applications with Apache Kafka and Apache Flink.

**Bio:**
[Dunith](https://www.linkedin.com/in/dunithd) has a passion for designing, building and operating large-scale real-time event-driven architectures. With over 10 years of experience, he enjoys sharing his knowledge through blogging, videos, and public speaking. Currently, Dunith serves as a Senior Developer Advocate at Redpanda, where he spends most of his time educating developers on how to build event-driven applications with Redpanda.

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💡 **Speaker Two:**
Danica Fine, Staff Developer Advocate, Confluent

**Title of Talk:**
The Kafka Consumer: An Unexpected Journey of Data Consumption

**Abstract:**
Once your data is stored on your Apache Kafka® cluster, the next step is to consume that data and do something interesting with it. Enter: Kafka Consumers. We all know how to set up a Kafka Consumer to poll data… but do you know how a consumer fetches the data from the cluster? Let’s find out!

Every call to consumer.poll() is translated into a low-level request which is sent along to the brokers for fulfillment. In this session, we’ll join Kafka Consumers as they embark on their epic adventure to consume your data. First, see how these clients band together in a single fellowship and follow the guidance of their consumer group coordinator. Then, follow a request from an initial call to poll(), all the way to disk, and back to the client with your data via the broker’s final response. Along the way, we’ll explore a number of client and broker configurations that affect how these requests are handled and discuss the metrics that you can monitor to keep track of every stage of the consumer life cycle.

By the end of this session, you’ll know the ins and outs of your Kafka Consumer requests, making your next debugging or performance analysis session a breeze.

**Bio:**
Danica Fine is a Staff Developer Advocate at Confluent where she helps others get the most out of their event-driven pipelines. Prior to this role, she served as a software engineer on a streaming infrastructure team at Bloomberg where she predominantly worked on Kafka Streams- and Kafka Connect-based projects. Her expertise in streaming systems has taken her to a number of conferences and speaking engagements over the years, giving her the chance to express her love of Kafka to anyone who will listen. Danica is committed to increasing diversity in the technical community and actively serves as a mentor to a number of women in tech. She can be found on Twitter, tweeting about tech, plants, and baking @TheDanicaFine.

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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](http://community@confluent.io/)

Alice Richardson

Frankfurt Apache Kafka® Meetup by Confluent

Confluent

Technology

Software Development

New Technology

Web Technology

Big Data

Computer Programming

Technology Startups

Stream Processing

Apache Kafka

Microservices

IN PERSON! Apache Kafka® x Apache Flink® Meetup Frankfurt - June 2024

Open Source

Thinkport GmbH

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Frankfurt Apache Kafka® Meetup by Confluent

IN PERSON! Apache Kafka® x Apache Flink® Meetup Frankfurt - June 2024

Frankfurt Apache Kafka® Meetup by Confluent

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