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.
Intro to Kafka Connect: Core Components and Architecture ft. Robin Moffatt
Kafka Connect is a streaming integration framework between Apache Kafka and external systems, such as databases and cloud services. With expertise in ksqlDB and Kafka Connect, Robin Moffatt (Staff Developer Advocate, Confluent) helps and supports the developer community in understanding Kafka and its ecosystem. Recently, Robin authored a Kafka Connect 101 course that will help you understand the basic concepts of Kafka Connect, its key features, and how it works.
Designing a Cluster Rollout Management System for Apache Kafka ft. Twesha Modi
As one of the top coders of her Java coding class in high school, Twesha Modi is continuing to follow her passion for computer science as a senior at Cornell University, where she has proven to be one of the top programmers. During Twesha's summer internship at Confluent, she contributed to designing a new service to automate Apache Kafka cluster rollout management—a process that releases the latest Kafka versions to customer’s clusters in Confluent Cloud.
Apache Kafka 3.0 - Improving KRaft and an Overview of New Features
Apache Kafka 3.0 is out! To spotlight major enhancements in this release, Tim Berglund (Apache Kafka Developer Advocate) provides a summary of what’s new in the Kafka 3.0 release from Krakow, Poland, including API changes and improvements to the early-access Kafka Raft (KRaft).
How to Build a Strong Developer Community with Global Engagement ft. Robin Moffatt and Ale Murray
A developer community brings people with shared interests and purpose together. The fundamental elements of a community are to gather, learn, support, and create opportunities for collaboration. A developer community is also an effective and efficient instrument for exploring and solving problems together.
What Is Data Mesh, and How Does it Work? ft. Zhamak Dehghani
The data mesh architectural paradigm shift is all about moving analytical data away from a monolithic data warehouse or data lake into a distributed architecture—allowing data to be shared for analytical purposes in real time, right at the point of origin. The idea of data mesh was introduced by Zhamak Dehghani (Director of Emerging Technologies, Thoughtworks) in 2019. Here, she provides an introduction to data mesh and the fundamental problems that it’s trying to solve.
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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