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October 7, 2020 | Episode 122

Creating Your Own Kafka Improvement Proposal (KIP) as a Confluent Intern ft. Leah Thomas

  • Transcript
  • Notes

Ever wonder what it's like to intern at a place like Confluent? How about working with Kafka Streams and creating your own KIP? Well, that's exactly what we discuss on today's episode with Leah Thomas. Leah Thomas, who first interned as a recruiter for Confluent, quickly realized that she was enamored with the problem solving the engineering team was doing, especially with Kafka Streams. 

The next time she joined Confluent's intern program, she worked on the Streams team and helped bring KIP-450 to life. With KIP-450, Leah started learning Apache Kafka® from the inside out and how to better address the user experience. She discusses her experience with getting a KIP approved with the Apache Software Foundation and how she dove into solving the problem of hopping windows with sliding windows instead.

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Episode 123October 14, 2020 | 46 min

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Episode 124October 21, 2020 | 50 min

Joining Forces with Spring Boot, Apache Kafka, and Kotlin ft. Josh Long

Josh Long shares how the Spring and Kotlin teams have worked hard to make sure that Kotlin and Spring Boot are a first-class experience for all developers trying to get to production faster and safer. He also talks about the issues that arise when wrapping one set of APIs with another, as often arises in the Spring Framework: when APIs should leak, when they should not, and how not to try to be a better Kafka Streams when the original is working well enough.

Episode 125October 21, 2020 | 33 min

Ask Confluent #18: The Toughest Questions ft. Anna McDonald

It’s the first work-from-home episode of Ask Confluent, where Gwen Shapira (Core Kafka Engineering Leader, Confluent) virtually sits down with Apache Kafka® expert Anna McDonald (Staff Technical Account Manager, Confluent) to answer questions from Twitter.

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If there's something you want to know about Apache Kafka, Confluent or event streaming, please send us an email with your question and we'll hope to answer it on the next episode of Ask Confluent.

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