
Sign up to save your podcasts
Or


Lena Hall joins Tim Berglund in the studio to talk about Apache Kafka®, the various ways to run Kafka on Microsoft Azure, Kafka on Kubernetes (K8s), and some exciting events that are happening in the Kafka world.
Lena shares about serving double duty as both a senior software engineer and senior cloud developer advocate for Azure Engineering, including her unique roles and responsibilities, and how she balances engineering with advocacy. From writing tech articles to her experience with fuzzing and presence on YouTube, Lena is a strong community supporter and believes in the importance of staying rooted in the world of code as an advocate, because it helps you better understand common challenges and gives you insight as an engineer trying to fix them. It’s important to ask what's good about it and how it can be improved.
They also discuss Kubernetes, the benefits of running Kafka on Kubernetes, why it’s popular, and using systems that can integrate with it. With Confluent Operator, it’s faster to spin up new environments, as well as easier to support a larger number of clusters in addition to scaling and configuration changes. As the Kafka ecosystem continues to grow and progress, one of the most notable updates of all is KIP-500 involving ZooKeeper.
EPISODE LINKS
SEASON 2
Hosted by Tim Berglund, Adi Polak and Viktor Gamov
Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed
Music by Coastal Kites
Artwork by Phil Vo
The focus of KIP-402 is to improve fairness in how Apache Kafka® processes connections and how network threads pick up requests and new data. Gwen Shapira (Engineering Manager for Cloud-Native Kafka, Confluent) outlines the details of this KIP and her team’s efforts to make user-facing Kafka improvements. Halfway through the episode, Gwen shares how to send metadata and produce client messages.
EPISODE LINKS
SEASON 2
Hosted by Tim Berglund, Adi Polak and Viktor Gamov
Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed
Music by Coastal Kites
Artwork by Phil Vo
Helping users be successful when it comes to using Apache Kafka® is a large part of Dani Traphagen’s role as a senior systems engineer at Confluent. Whether she’s advising companies on implementing parts of Kafka or rebuilding their systems entirely from the ground up, Dani is passionate about event-driven architecture and the way streaming data provides real-time insights on business activity.
She explains the concept of a stream, topic, key, and stream-table duality, and how each of these pieces relate to one another. When it comes to data modeling, Dani covers importance business requirements, including the need for a domain model, practicing domain-driven design principles, and bounded context. She also discusses the attributes of data modeling: time, source, key, header, metadata, and payload, in addition to exploring the significance of data governance and lineage and performing joins.
EPISODE LINKS
SEASON 2
Hosted by Tim Berglund, Adi Polak and Viktor Gamov
Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed
Music by Coastal Kites
Artwork by Phil Vo
Joy Gao chats with Tim Berglund about all things related to streaming ETL—how it works, its benefits, and the implementation and operational challenges involved. She describes the streaming ETL architecture at WePay from MySQL/Cassandra to BigQuery using Apache Kafka®, Kafka Connect, and Debezium.
EPISODE LINKS
SEASON 2
Hosted by Tim Berglund, Adi Polak and Viktor Gamov
Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed
Music by Coastal Kites
Artwork by Phil Vo
Todd Palino, a senior SRE at LinkedIn, talks about the start of Apache Kafka® at LinkedIn, what learning to use Kafka was like, how Kafka has changed, and what he and others in the community hope for in the future of Kafka. If you’re curious about life as an SRE, Todd shares the details on that too, and goes into how Kafka is used at LinkedIn, as well as several wins and challenges over the years with the product.
EPISODE LINKS
SEASON 2
Hosted by Tim Berglund, Adi Polak and Viktor Gamov
Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed
Music by Coastal Kites
Artwork by Phil Vo
Neil Buesing (Director of Real-Time Data, Object Partners) discusses what a day in his life looks like and how Kafka Streams helps analyze flight data.
EPISODE LINKS
SEASON 2
Hosted by Tim Berglund, Adi Polak and Viktor Gamov
Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed
Music by Coastal Kites
Artwork by Phil Vo
Tim Berglund sits down with Colin McCabe and Jason Gustafson to talk about KIP-500. The pair, who work on the Kafka Core Engineering Team, discuss the history of Kafka, the creation of KIP-500, and what it will do for the community as a whole. They break down ZooKeeper's role in Kafka, the implications of removing ZooKeeper dependency, replacing it with a self-managed metadata quorum, and how they've been combatting security, stability, and compatibility issues. With pending improvements towards scalability and inter-broker communication, and now that KIP-500 has been adopted within the community—there's a lot covered in this episode that you won't want to miss!
EPISODE LINKS
SEASON 2
Hosted by Tim Berglund, Adi Polak and Viktor Gamov
Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed
Music by Coastal Kites
Artwork by Phil Vo
When it comes to deploying applications at scale without needing to integrate different pieces of infrastructure yourself, the answer nowadays is increasingly Kubernetes. Kubernetes provides all the building blocks that are needed, and a lot of thought is required to truly create an enterprise-grade Apache Kafka® platform that can be used in production. But before running Kafka on Kubernetes, there are some factors to consider. What are the maturing stages of Kubernetes adoption? How did Datadog experience these stages? Balthazar Rouberol shares what to think about before hopping on Kubernetes hype train.
EPISODE LINKS
SEASON 2
Hosted by Tim Berglund, Adi Polak and Viktor Gamov
Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed
Music by Coastal Kites
Artwork by Phil Vo
As Confluent turns five years old, special guest Jay Kreps (Co-founder and CEO, Confluent) brings us back to his early development days of coding Apache Kafka® over a Christmas holiday while working at LinkedIn. Kafka has become a breakthrough open source distributed streaming platform based on an abstraction of the distributed commit log, and his involvement in the project eventually led him to start Confluent with Jun Rao and Neha Narkhede.
In this episode, Jay shares about all the highs and lows along the way, including some of his favorite customer success stories with companies like Lyft and Euronext, which empower their real-time businesses through event streaming with Confluent Cloud.
Starting a company certainly comes with more than the technology, and Jay also reflects on some of the challenges around funding, support, and introducing Confluent to the rest of the world. How they have brought us from the beginning to now yields some wise words from Jay to any developer who is interested in establishing their own startup.
EPISODE LINKS
SEASON 2
Hosted by Tim Berglund, Adi Polak and Viktor Gamov
Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed
Music by Coastal Kites
Artwork by Phil Vo
What’s a graph? How does Cypher work? In today's episode of Streaming Audio, Tim Berglund sits down with Michael Hunger (Lead of Neo4j Labs) and David Allen (Partner Solution Architect, Neo4j) to discuss Neo4j basics and get the scoop on major features introduced in Neo4j 3.4 and 3.5. Among these are geospatial and temporal types, but there’s also more to come in 4.0: a multi-database feature, fine-grained security, and reactive drivers/Spring Data Neo4j RX.
In addition to sharing a little bit about the history of the integration and features in relation to Apache Kafka®, they also discuss change data capture (CDC), using Neo4j to put graph operations into an event streaming application, and how GraphQL fits in with event streaming and GRANDstack. The goal is to add graph abilities to help any distributed application become more successful.
EPISODE LINKS
SEASON 2
Hosted by Tim Berglund, Adi Polak and Viktor Gamov
Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed
Music by Coastal Kites
Artwork by Phil Vo
From the publisher's feed
Hi, we’re Tim Berglund, Adi Polak, and Viktor Gamov and we’re excited to bring you the Confluent Developer podcast (formerly “Streaming Audio.”) Our hand-crafted weekly episodes feature in-depth…
Whether you’re a seasoned open source data streaming engineer, or just someone who’s interested in learning more about Apache Kafka®, Apache Flink® and real-time data, we hope you’ll appreciate the stories, the discussion, and our effort to bring you a high-quality show worth your time.

273 Listeners

286 Listeners

623 Listeners

144 Listeners

111,799 Listeners