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

There’s a new Streaming Audio episode - check it out!

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.


:headphones: Listen to the episode