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Streaming Audio: A Confluent Podcast about Apache Kafka

Join our hosts and guests from the community as they discuss the latest Apache Kafka®️ news, use cases, and trends spanning the topics of data streaming, microservices, modern IT architectures, and the cloud.

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Episode 205March 22, 2022 | 42 min

Building Real-Time Data Governance at Scale with Apache Kafka ft. Tushar Thole

Data availability, usability, integrity, and security are words that we sometimes hear a lot. But what do they actually look like when put into practice? That’s where data governance comes in. This becomes especially tricky when working with real-time data architectures.

Episode 197January 27, 2022 | 31 min

Expanding Apache Kafka Multi-Tenancy for Cloud-Native Systems ft. Anna Povzner and Anastasia Vela

In an effort to make Apache Kafka cloud native, Anna Povzener (Principal Engineer, Confluent) and Anastasia Vela (Software Engineer I, Confluent) have been working to expand multi-tenancy to cloud-native systems with automated capacity planning and scaling in Confluent Cloud. They explain how cloud-native data systems are different from legacy databases and share the technical requirements needed to create multi-tenancy for managed Kafka as a service.

Episode 195January 20, 2022 | 30 min

Optimizing Cloud-Native Apache Kafka Performance ft. Alok Nikhil and Adithya Chandra

Maximizing cloud Apache Kafka performance isn’t just about running data processes on cloud instances. There is a lot of engineering work required to set and maintain a high-performance standard for speed and availability. Alok Nikhil (Senior Software Engineer, Confluent) and Adithya Chandra (Staff Software Engineer II, Confluent) share about their efforts on how to optimize Kafka on Confluent Cloud and the three guiding principles that they follow whether you are self-managing Kafka or working on a cloud-native system:

Episode 190December 14, 2021 | 28 min

Lessons Learned From Designing Serverless Apache Kafka ft. Prachetaa Raghavan

You might call building and operating Apache Kafka as a cloud-native data service synonymous with a serverless experience. Prachetaa Raghavan (Staff Software Developer I, Confluent) spends his days focused on this very thing. In this podcast, he shares his learnings from implementing a serverless architecture on Confluent Cloud using Kubernetes Operator.

Episode 189December 7, 2021 | 33 min

Using Apache Kafka as Cloud-Native Data System ft. Gwen Shapira

What does cloud native mean, and what are some design considerations when implementing cloud-native data services? Gwen Shapira (Apache Kafka Committer and Principal Engineer II, Confluent) addresses these questions in today’s episode. She shares her learnings by discussing a series of technical papers published by her team, which explains what they’ve done to expand Kafka’s cloud-native capabilities on Confluent Cloud.

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