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October 21, 2020 | Episode 125

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

  • Transcript
  • Notes

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. 

Find out Anna’s favorite Kafka Improvement Proposal (KIP), which  will start to use racially neutral terms in the Kafka community and in our code base, as well as answers to the following questions: 

  • If you could pick any one KIP from the backlog that hasn't yet been implemented and have it immediately available, which one would you pick?
  • Are we able to arrive at any formula for identifying the consumer/producer throughput rate in Kafka with the given hardware specifications (CPU, RAM, network, and disk)? 
  • Does incremental cooperative rebalancing also work for general Kafka consumers in addition to Kafka Connect rebalancing?

They also answer how to determine throughput and achieve your desired SLA by using partitions. 

Continue Listening

Episode 126October 28, 2020 | 51 min

Most Terrifying Apache Kafka JIRAs of 2020 ft. Anna McDonald

It’s Halloween again, which means Anna McDonald (Staff Technical Account Manager, Confluent) is back for another spooktacular episode of Streaming Audio. In this episode, Anna shares six of the most spine-chilling, hair-raising Kafka JIRAs from the past year.

Episode 127November 2, 2020 | 49 min

Distributed Systems Engineering with Apache Kafka ft. Apurva Mehta

What's it like being a distributed systems engineer? Apurva Mehta explains what attracted him to Apache Kafka®, the challenges and uniqueness of distributed systems, and how to excel in this industry.

Episode 128November 12, 2020 | 52 min

Why Kafka Streams Does Not Use Watermarks ft. Matthias J. Sax

Matthias J. Sax is back to discuss how event streaming has changed the game, making time management more simple yet efficient. He explains what watermarking is, the reasons behind why Kafka Streams doesn’t use them, and an alternative approach to watermarking informally called the “slack time approach.”

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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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