Streaming Audio: A Confluent Podcast about Apache Kafka
Listen to Tim Berglund and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
Adopting OpenTelemetry in Confluent and Beyond ft. Xavier Léauté
Collecting internal, operational telemetry from Confluent Cloud services and thousands of clusters is no small feat. Traditionally, this data needs to be collected in multiple ways to satisfy all the different requirements. However, this sometimes leads to discrepancies between various systems. With OpenTelemetry, we can collect data in a vendor-agnostic way. Many vendors already integrate with OpenTelemetry, which gives us the flexibility to try out different observability solutions with minimal effort, without the need to rewrite applications or deploy new agents.
Running Apache Kafka Efficiently on the Cloud ft. Adithya Chandra
Focused on optimizing Kafka performance with maximized efficiency, Confluent’s Product Infrastructure team has been actively exploring opportunities for scaling out Kafka clusters. They are able to run Kafka workloads with half the typical memory usage while saving infrastructure costs, which they have tested and now safely rolled out across Confluent Cloud. In this episode, Adithya Chandra explains how.
Engaging Database Partials with Apache Kafka for Distributed System Consistency ft. Pat Helland
When compiling database reports using a variety of data from different systems, obtaining the right data when you need it in real time can be difficult. With cloud connectivity and distributed data pipelines, Pat Helland (Principal Architect, Salesforce) explains how to make educated partial answers when you need to use the Apache Kafka® platform. After all, you can’t get guarantees across a distance, making it critical to consider partial results.
The Truth About ZooKeeper Removal and the KIP-500 Release in Apache Kafka ft. Jason Gustafson and Colin McCabe
Jason Gustafson and Colin McCabe, Apache Kafka developers, discuss all things KIP-500 adoption, the removal of ZooKeeper, and how that’s played out on the frontlines within the event streaming world. A previous episode of Streaming Audio featured both developers on the podcast before the release of Apache Kafka 2.8. Now they’re back to share how everything is working in reality.
Resilient Edge Infrastructure for IoT Using Apache Kafka ft. Kai Waehner
What is the internet of things (IoT), and how does it relate to event streaming and Apache Kafka? In this episode, Kai Waehner, field CTO and global technology advisor at Confluent, discusses the intersection of edge data infrastructure, IoT, and cloud services for Kafka. He also details how businesses get into the sticky situation of not accounting for solutions when data is running dangerously close to the edge.
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.
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