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
  • 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 72December 12, 2019 | 30 min

Ask Confluent #16: ksqlDB Edition

Vinoth Chandar and Gwen Shapira discuss what ksqlDB is, the kinds of applications that you can build with it, vulnerabilities, and various ksqlDB use cases. They also talk about what's currently the best version of Apache Kafka version for performance improvements that don’t cause breaking changes to existing Kafka configuration and functionality.

Episode 71December 4, 2019 | 38 min

Machine Learning with Kafka Streams, Kafka Connect, and ksqlDB ft. Kai Waehner

Kai Waehner defines machine learning in depth, describes the architecture of his dream machine learning pipeline, shares its relevance to Apache Kafka and the related ecosystem, and discusses the importance of security and fraud detection.

Episode 70November 27, 2019 | 58 min

Real-Time Payments with Clojure and Apache Kafka ft. Bobby Calderwood

Payments leverages Confluent Cloud to help banks of all sizes transform to real-time banking services from traditionally batch-oriented, bankers’ hours operational mode. This is achieved through Apache Kafka® and the Kafka Streams and Kafka Connect APIs from Clojure using functional programming paradigms like transducers.

Episode 69November 20, 2019 | 26 min

Announcing ksqlDB ft. Jay Kreps

Jay Kreps introduces ksqlDB, the event streaming database purpose-built for stream processing applications. As the successor to KSQL, ksqlDB is a specialized database for stream processing on top of Kafka, merging the concepts behind streams of data with tables of data.

Episode 68November 18, 2019 | 46 min

Installing Apache Kafka with Ansible ft. Viktor Gamov and Justin Manchester

Ansible keeps your Apache Kafka® deployment, management, and installation consistent, and helps you implement best practices that make it easy to get started. Justin Manchester (Platform DevOps Engineer, Confluent) and Viktor Gamov (Developer Advocate, Confluent) discuss the problems that Ansible is trying to solve, enabling collaboration and optimizing all components for top performance.

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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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