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November 18, 2020 | Episode 129

Distributed Systems Engineering with Apache Kafka ft. Roger Hoover

  • Transcript
  • Notes

Roger Hoover, one of the first engineers to work on Confluent Cloud, joins Tim Berglund (Senior Director of Developer Experience, Confluent) 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. He talks through the days before Confluent Platform was created, and how he contributed to Apache Kafka® to run it on OpenStack (the feature used to separate advertised hostnames from the internal hostnames).

The Confluent Cloud control plane is now run in over 40 regions. Under the covers, Roger and his team are managing tens of thousands of resources at the cloud provider layer. This means creating VPCs, VMs, volumes, and DNS records, to manage software artifacts, like what version of Kafka is running and user management. Confluent Cloud is a complex application and distributed system spread across the entire world, but Roger reveals how it's done.

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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.

Episode 131December 2, 2020 | 60 min

Tales From The Frontline of Apache Kafka Devops ft. Jason Bell

Jason Bell (Apache Kafka® DevOps Engineer, digitalis.io, and Author of “Machine Learning: Hands-On for Developers and Technical Professionals” ) delves into his 32-year journey as a DevOps engineer and how he discovered Apache Kafka.

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