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

Streaming Audio Podcast

Listen to Tim Berglund 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
  • Confluent Platform
  • DevOps
  • Distributed Systems Engineering
  • Event Streaming
  • Integration
  • IoT
  • Kafka
  • Kafka 101
  • Kafka Connect
  • Kafka Streams
  • ksqlDB
  • Kubernetes
  • Microservices
  • Schema Registry
  • Spring
  • Stream Processing
  • Streaming Audio Special
  • Use Cases
Subscribe
Episode 143February 10, 2021 | 9 min

Confluent Platform 6.1 | What’s New in This Release + Updates

Confluent Platform 6.1 further simplifies management tasks for Apache Kafka® operators. Based on Apache Kafka 2.7, this release provides even higher availability for enterprises who are using Kafka as the central backbone for their business-critical applications.

Episode 142February 8, 2021 | 48 min

Building a Microservices Architecture with Apache Kafka at Nationwide Building Society ft. Rob Jackson

Nationwide Building Society, a financial institution in the United Kingdom with 137 years of history and over 18,000 employees, relies on Apache Kafka for their event streaming needs. But how did this come to be? In this episode, Tim Berglund talks with Rob Jackson (Principal Architect, Nationwide) about their Kafka adoption journey as they celebrate two years in production.

Episode 141February 1, 2021 | 50 min

Examining Apache Kafka Performance Metrics ft. Alok Nikhil

Coming up with an honest test built on open source tools in an easily documented, replicable environment for a distributed system like Apache Kafka is not simple. Alok Nikhil (Cloud Native Engineer, Confluent) shares about getting Kafka in the cloud and how best to leverage Confluent Cloud for high performance and scalability.

Episode 140January 25, 2021 | 44 min

Distributed Systems Engineering with Apache Kafka ft. Guozhang Wang

Tim Berglund picks the brain of a distributed systems engineer, Guozhang Wang, tech lead in the Streaming department of Confluent. Guozhang explains what compelled him to join the Stream Processing team at Confluent coming from the Apache Kafka® core infrastructure.

Episode 139January 20, 2021 | 34 min

Scaling Developer Productivity with Apache Kafka ft. Mohinish Shaikh

Confluent Platform and Confluent Cloud run efficiently largely because of the dedication of the Developer Productivity team. Mohinish Shaikh (Developer, Confluent) talks about how his team builds the product pipelines for the entire event streaming platform and ensures seamless delivery of several engineering processes across engineering and the rest of the org.

Page 5
  • Page 1
  • Page 2
  • Page 3
  • Page 4
  • Page 5
  • Page 6
  • Page 7
  • Page 8
  • Page 9
  • Page 10
  • Page 11
  • Page 12
  • Page 13
  • Page 14
  • Page 15
  • Page 16
  • Page 17
  • Page 18
  • Page 19
  • Page 20
  • Page 21
  • Page 22
  • Page 23
  • Page 24
  • Page 25
  • Page 26
  • Page 27
  • Page 28
  • Page 29
  • Page 30
  • Page 31
  • Page 32
  • Page 33

Meet your host

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.

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.