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.

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  • All Topics
  • Architecture
  • Ask Confluent
  • Big Ideas
  • Clients
  • Cloud
  • Distributed Systems Engineering
  • Event Streaming
  • Integration
  • Kafka
  • Kafka 101
  • Kafka Connect
  • Kafka Streams
  • ksqlDB
  • Kubernetes
  • Microservices
  • Platform
  • Schema Registry
  • Stream Processing
  • Streaming Audio Special
  • Use Cases
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Episode 32May 16, 2019 | 50 min

Chris Riccomini on the History of Apache Kafka and Stream Processing

Chris Riccomini tells us how Apache Kafka® and the stream processing framework Samza came about, and also what he’s doing these days at WePay—building systems that use Kafka as a primary datastore.

Episode 31May 8, 2019 | 33 min

Ask Confluent #13: Machine Learning with Kai Waehner

Gwen and Kai chat about machine learning architectures, and whether software engineers and data science can learn to get along.

Episode 30May 2, 2019 | 38 min

Load-Balanced Apache Kafka: Derivco’s Globally Distributed Gaming Business

Derivco must maintain central data infrastructure and application clusters in geographically diverse locations due to the heavily regulated nature of their business. In this episode, we talk about the challenges associated with that unusual but ingenious network architecture, along with other lessons they learned as they built their Kafka-centric gaming platform.

Episode 29April 22, 2019 | 47 min

Diving into Exactly Once Semantics with Guozhang Wang

Kafka Streams Engineer Guozhang Wang walks through the implementation of transactional messaging in Kafka in some detail, including the idempotent producer API, the transaction coordinator responsible for managing the transaction log and consumer configurations.

Episode 28April 17, 2019 | 22 min

Ask Confluent #12: In Search of the Lost Offsets

Stanislav Kozlovski joins us to discuss common pitfalls when using Kafka consumers and a new KIP that promises to make consumer restarts much smoother.

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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.

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