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Streaming Audio: A Confluent Podcast about Apache Kafka

Join Kris Jenkins and guests from the community as they discuss the latest Apache Kafka® news, use cases, and trends spanning the topics of data streaming, microservices, modern IT architectures, and the cloud.

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Episode 255February 1, 2023 | 50 min

How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems

How can you use OpenTelemetry to gain insight into your Apache Kafka event systems? Roman Kolesnev, Staff Customer Innovation Engineer at Confluent, is a member of the Customer Solutions & Innovation Division Labs team working to build business-critical OpenTelemetry applications so companies can see what’s happening inside their data pipelines. In this episode, Roman joins Kris to discuss tracing and monitoring in distributed systems using OpenTelemetry. He talks about how monitoring each step of the process individually is critical to discovering potential delays or bottlenecks before they happen; including keeping track of timestamps, latency information, exceptions, and other data points that could help with troubleshooting.

Episode 254January 26, 2023 | 47 min

What is Data Democratization and Why is it Important?

Data democratization allows everyone in an organization to have access to the data they need, and the necessary tools needed to use this data effectively. In short, data democratization enables better business decisions. In this episode, Rama Ryali, a Senior IT and Data Executive, chats with Kris Jenkins about the importance of data democratization in modern systems.

Episode 253January 19, 2023 | 30 min

Git for Data: Managing Data like Code with lakeFS

Is it possible to manage and test data like code? lakeFS is an open-source data version control tool that transforms object storage into Git-like repositories, offering teams a way to use the same workflows for code and data. In this episode, Kris sits down with guest Adi Polak, VP of DevX at Treeverse, to discuss how lakeFS can be used together with Apache Kafka to facilitate better management and testing of data.

Episode 252January 12, 2023 | 51 min

Using Kafka-Leader-Election to Improve Scalability and Performance

How does leader election work in Apache Kafka? For the past 2 ½ years, Adithya Chandra, Staff Software Engineer at Confluent, has been working on Kafka scalability and performance, specifically partition leader election. In this episode, he gives Kris Jenkins a deep dive into the power of leader election in Kafka replication, why we need it, how it works, what can go wrong, and how it's being improved.

Episode 251January 5, 2023 | 38 min

Real-Time Machine Learning and Smarter AI with Data Streaming

Are bad customer experiences really just data integration problems? Can real-time data streaming and machine learning be democratized in order to deliver a better customer experience? Airy, an open-source data-streaming platform, uses Apache Kafka to help business teams deliver better results to their customers. In this episode, Airy CEO and co-founder Steffen Hoellinger explains how his company is expanding the reach of stream-processing tools and ideas beyond the world of programmers.

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Meet your host

Kris Jenkins

Kris Jenkins is a senior developer advocate for Confluent, a veteran contractor, and former CTO and co-founder of a gold-trading business. He's especially interested in software design, functional programming, real-time systems, and electronic music.

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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