Streaming Audio: Apache Kafka® & Real-Time Data
Streaming Audio features all things Apache Kafka®, Confluent, real-time data, and the cloud. We cover frequently asked questions, best practices, and use cases from the Kafka community—from Kafka connectors and distributed systems, to data mesh, data integration, modern data architectures, and data mesh built with Confluent and cloud Kafka as a service. Join our hosts as they stream through a series of interviews, stories, and use cases with guests from the data streaming industry. Apache®️, Apache Kafka, Kafka, and the Kafka logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by The Apache Software Foundation is implied by the use of these marks.
Streaming Audio: Apache Kafka® & Real-Time Data
Ask Confluent #15: Attack of the Zombie Controller
Gwen Shapira (Core Kafka Software Engineer, Confluent) sits down to answer the questions you've had about event streaming, Apache Kafka®, Confluent, and everything in between. This includes creating tables in nested JSON topics, how to balance ordering, latency and reliability, building event-based systems, and how to navigate the tricky endOffsets API. She talks about the hardships of fencing Zombie requests, some of the talks given at previous Kafka Summits, and an important question from Ask Confluent #3.
EPISODE LINKS
- KIP-91: Provide Intuitive User Timeouts in The Producer
- KIP-79: ListOffsetRequest/ListOffsetResponse v1 and add timestamp search methods to the new consumer
- KSQL recipe on creating tables in a nested JSON topic
- Data Wrangling with Apache Kafka and KSQL
- Struct (Nested Data) | Level Up Your KSQL
- Kafka Summit 2018 Keynote (Experimentation Using Event-Based Systems)
- Apache Kafka 2.3
- endOffsets documentation
- Jun Rao, Confluent - Kafka Controller: A Deep Dive
- Confluent Platform 5.3
- Kafka Summit 2017 Keynote (Go Against the Flow: Databases and Stream Processing)
- The Event Streaming Platform Explained
- Watch the video version of this podcast
- Join the Confluent Community Slack