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 211April 28, 2022 | 48 min

Optimizing Apache Kafka's Internals with Its Co-Creator Jun Rao

You already know Apache Kafka is a distributed event streaming system for setting your data in motion, but how does its internal architecture work? No one can explain the internal architecture better than Jun Rao, one of the original Apache Kafka Creators and Co-Founder of Confluent. Jun has an in-depth understanding of Kafka that few others can claim—and he shares that with us in this episode, and in his new Kafka Internals course on Confluent Developer.

Episode 210April 21, 2022 | 51 min

Using Event-Driven Design with Apache Kafka Streaming Applications ft. Bobby Calderwood

In this episode, Bobby Calderwood, founder of Evident Systems and creator of oNote explains event modeling—a converse approach to the reductive data model system. Event model system is enabled by tools like Apache Kafka, which effectively saves every bit of activity generated by the data system.

Episode 209April 13, 2022 | 38 min

Monitoring Extreme-Scale Apache Kafka Using eBPF at New Relic

New Relic runs one of the larger Apache Kafka installations in the world, ingesting circa 125 petabytes a month, or approximately three billion data points per minute. Anton Rodriguez is the chief architect of the system, responsible for hundreds of clusters and thousands of clients, some of them implemented in non-standard technologies. In addition to the large volume of servers, he works with many teams, which must all work together when issues arise.

Episode 208April 12, 2022 | 10 min

Confluent Platform 7.1: New Features + Updates

Confluent Platform 7.1 expands upon its already innovative features, adding improvements in key areas that benefit data consistency, allow for increased speed and scale, and enhance resilience and reliability. Following the standard for every Confluent release, Confluent Platform 7.1 is built on the most recent version of Apache Kafka 3.1, including KIP-768: extend SASL/OAUTHBEARER with support for OIDC, KIP-773: Differentiate consistently metric latency measured in mills and nanos, as well as KIP-775: Custom partitioners in foreign-key-joins.

Episode 207April 7, 2022 | 70 min

Scaling an Apache Kafka Based Architecture at Therapie Clinic

Scaling Apache Kafka can be tricky, let alone scaling a team. When he was first hired, Domenico Fioravanti of Therapie Clinic was given the challenging task of assembling a sizable tech team from scratch, while simultaneously building a scalable and decoupled architecture from the ground up. In addition, he wanted to deliver value to the company from day one. One way that Domenico ultimately accomplished these goals was by focusing on managed solutions in order to avoid large investments in engineering know-how. Another way was to deliver quickly to production by using the existing knowledge of his team.

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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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