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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.

All Topics
  • 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
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Episode 25March 26, 2019 | 14 min

Ask Confluent #11: More Services, More Metrics, More Fun

Do metrics for detecting clients from old versions actually exist? Or is Gwen making features up? This and more useful advice is coming up on today's episode of Ask Confluent.

Episode 24March 18, 2019 | 36 min

It’s Time for Streaming to Have a Maturity Model ft. Nick Dearden

Nick Dearden explains the five stages of streaming maturity, from the first streaming project you ever build all the way to a state where an entire organization is transformed to think in terms of real-time, event-driven systems.

Episode 23March 11, 2019 | 41 min

Containerized Apache Kafka On Kubernetes with Viktor Gamov

Tim Berglund and Viktor Gamov address some of the challenges and pitfalls of managing Kafka on Kubernetes at scale. They also share lessons learned from the development of the Confluent Operator for Kubernetes.

Episode 22March 4, 2019 | 19 min

Catch Your Bus with KSQL: A Stream Processing Recipe by Leslie Kurt

Use KSQL to calculate the difference between the expected arrival time and real-time updates of a bus as it executes its route. Leslie Kurt walks you through fundamental concepts, persistent queries, Confluent MQTT Proxy and other use cases.

Episode 21February 27, 2019 | 45 min

KTable Update Suppression (and a Bunch About KTables) ft. John Roesler

Apache Kafka 2.1 featured an interesting change to the table API—commonly known to the world as KIP-328—that gives you better control over how updates to tables are emitted into destination topics. Join John Roesler for a clear explanation of it.

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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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