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November 2, 2020 | Episode 127

Distributed Systems Engineering with Apache Kafka ft. Apurva Mehta

  • Transcript
  • Notes

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

He dives into the complex math behind the temporal logic of actions (TLA) and shares about his experiences working at Yahoo and Linkedin, which have prepared him to be where he is today.

Apurva also shares what he looks for when hiring someone to join his team. When you're working on a system like Kafka and Kafka Streams, really understanding what your machine is doing, where the bottlenecks are, and how to design improvements to address inefficiencies is critical. 

Continue Listening

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.”

Episode 129November 18, 2020 | 50 min

Distributed Systems Engineering with Apache Kafka ft. Roger Hoover

Roger Hoover, one of the first engineers to work on Confluent Cloud, joins Tim Berglund to chat about the evolution of Confluent Cloud, all the stages that it’s been through, and the lessons he’s learned on the way.

Episode 130November 23, 2020 | 44 min

Multi-Tenancy in Apache Kafka ft. Anna Pozvner

Anna Povzner kicks off the conversation with Tim Berglund by explaining what multi-tenancy is, why it is worthy to be desired, and advantages over single-tenant architecture. By putting more applications and use cases on the same Kafka cluster instead of having a separate Kafka cluster for each individual application and use case, multi-tenancy helps minimize the costs of physical machines and also maintenance.

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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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