Use CCLOUD50 to get an additional $50 of free Confluent Cloud- (details)

Streaming Audio Podcast

Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.

Distributed Systems Engineering
  • All Topics
  • Apache Kafka
  • Architecture
  • Ask Confluent
  • Big Ideas
  • Clients
  • Cloud
  • Confluent Platform
  • Distributed Systems Engineering
  • Event Streaming
  • Integration
  • Kafka
  • Kafka 101
  • Kafka Connect
  • Kafka Streams
  • ksqlDB
  • Kubernetes
  • Microservices
  • Schema Registry
  • Spring
  • Stream Processing
  • Streaming Audio Special
  • Use Cases
Subscribe
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 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 86March 4, 2020 | 48 min

Distributed Systems Engineering with Apache Kafka ft. Gwen Shapira

Gwen Shapira shares about what it's like to be a distributed systems engineer at Confluent and best tips for approaching a project like Apache Kafka. She talks through the steps she took to get to Confluent and how she got started working with Apache Kafka, including her experience as on the PMC for the Apache Software Foundation.

Episode 82February 5, 2020 | 54 min

Distributed Systems Engineering with Apache Kafka ft. Jun Rao

Jun Rao (Co-founder, Confluent) explains what relational databases and distributed databases are, how they work, and major differences between the two. He also delves into important lessons he’s learned along the way through the transition from the relational world to the distributed world.

Episode 62October 23, 2019 | 45 min

Distributed Systems Engineering with Apache Kafka ft. Colin McCabe

Colin McCabe shares about what it’s like being a distributed systems engineer, how it differs from being a full stack engineer, and the importance of open source community involvement.

Page 1
  • Page 1
  • Page 2

Meet your hosts

Tim Berglund

Tim Berglund is a teacher, author, and technology leader with Confluent, where he serves as the senior director of developer advocacy. He can frequently be found at speaking at conferences in the U.S. and all over the world. Tim is the co-presenter of various O'Reilly training videos on topics ranging from Git to distributed systems, and he is the author of "Gradle Beyond the Basics." He lives in Littleton, CO, U.S., with the wife of his youth.

Gwen Shapira

Gwen Shapira is an engineering leader at Confluent. She has over 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. Gwen is the author of "Kafka: The Definitive Guide" and "Hadoop Application Architectures." Gwen is a frequent presenter at industry conferences, a PMC member on the Apache Kafka project, and a committer on Apache Sqoop™. When Gwen isn't building data pipelines or thinking up new features, you can find her pedaling on her bike exploring the roads and trails of California, and beyond.

Got questions?

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.

Email Us

Never miss an episode!

Be the first to get updates and new content

We will only share developer content and updates, including notifications when new content is added. We will never send you sales emails. 🙂 By subscribing, you understand we will process your personal information in accordance with our Privacy Statement.