Kafka Screams: The Scariest JIRAs and How To Survive Them ft. Anna McDonald

In today's spooktacular episode of Streaming Audio, Anna McDonald (Technical Account Manager, Confluent) discusses six of the scariest Apache Kafka® JIRAs. Starting with KAFKA-6431: Lock Contention in Purgatory, Anna breaks down what purgatory is and how it’s not something to fear or avoid. Next, she dives into KAFKA-8522: Tombstones Can Survive Forever, where she explains tombstones, compacted topics, null values, and log compaction. Not to mention there’s KAFKA-6880: Zombie Replicas ...

Om Podcasten

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 interviews with our community of software developers (actual human beings - not AI) talking about some of the most interesting challenges they’ve faced in their careers. We aim to explore the conditions that gave rise to each person’s technical hurdles, as well as how their experiences transformed their understanding and approach to building systems. 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.