Name: A Kafka Client’s Request: Or, There and Back Again/ Intro to Apache Flink®
Start: 2023-10-10T18:00:00+02:00
End: 2023-10-10T20:00:00+02:00
Location: Nine

Hello everyone! Join us for an Apache Kafka® meetup on **October 10th from 6:00pm**, hosted by Nine A/S in Copenhagen!

The address, agenda, and speaker information can be found below. See you there!

**📍Venue**:
Nine A/S Office
Kongens Nytorv 18
DK-1050 København K

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🗓 Agenda:

* 6:00pm: Doors open
* 6:00pm - 6:30pm: Food, Drinks, and Networking
* 6:30pm - 7:15pm: Danica Fine, Sr. Developer Advocate, Confluent
* 7:15pm - 7:35pm: David Moravek, Staff Software Engineer II, Confluent
* 7:35pm - 8:00pm: Additional Q&A & Networking

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💡 Speaker:
Danica Fine, Sr. Developer Advocate, Confluent

Bio:
Danica Fine is a Senior 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 @TheDanicaFine.

Talk:
A Kafka Client’s Request: Or, There and Back Again

Abstract:
Do you know how your data moves into your Apache Kafka® instance? From the programmer’s point of view, it’s relatively simple. But under the hood, writing to Kafka is a complex process with a fascinating life cycle that’s worth understanding.

Anytime you call producer.send(), those calls are translated into low-level requests which are sent along to the brokers for processing. In this session, we’ll dive into the world of Kafka producers to follow a request from an initial call to send(), all the way to disk, and back to the client 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 help you to keep track of every stage of the request life cycle.
By the end of this session, you’ll know the ins and outs of the read and write requests that your Kafka clients make, making your next debugging or performance analysis session a breeze.

\-\-\-\-\-
💡 Speaker:
David Moravek, Staff Software Engineer II, Confluent

Bio:
David is a Staff Software Engineer at Confluent and one of the Co-Founders of Immerok, which became part of Confluent with the recent acquisition. He's spent most of the last decade working on petabyte-scale data pipelines, messing with database internals, and pushing forward some fantastic engineering teams. His current focus is on the deployment and coordination layer of Apache Flink, making it into the elastic stream processor. David is an Apache Beam and Apache Flink committer.

Talk:
Introduction to Apache Flink®

Abstract:
In this session, David will demystify the misconceptions around the complexity of Apache Flink, touch on its use cases, and get you up to speed for your stream processing endeavor. All of that, in real-time.

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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 18.

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If you would like to speak or host our next event please let us know! community@[confluent.io](http://confluent.io/)

Alice Richardson

Copenhagen Apache Kafka® Meetup by Confluent

Confluent

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Copenhagen Apache Kafka® Meetup by Confluent

A Kafka Client’s Request: Or, There and Back Again/ Intro to Apache Flink®

Copenhagen Apache Kafka® Meetup by Confluent

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