Stanislav Kozlovski joins us to discuss common pitfalls when using Kafka consumers and a new KIP that promises to make consumer restarts much smoother. EPISODE LINKS<ul><li><a href='https://cwiki.apache.org/confluence/display/KAFKA/KIP-345%3A+Introduce+static+membership+protocol+to+reduce+consumer+rebalances'>KIP-345: Static consumer membership</a> </li><li><a href='https://cwiki.apache.org/confluence/display/KAFKA/KIP-211%3A+Revise+Expiration+Semantics+of+Consumer+Group+Offsets'>KIP-211: Documents the current behavior of offset expiration</a></li><li><a href='https://youtu.be/57Jf_9lrlwA'>Watch the video version of this podcast </a> </li></ul>

Stanislav Kozlovski joins us to discuss common pitfalls when using Kafka consumers and a new KIP that promises to make consumer restarts much smoother. EPISODE LINKSKIP-345: Static consumer membership KIP-211: Documents the current behavior of offset expirationWatch the video version of this podcast

Stanislav Kozlovski joins us to discuss common pitfalls when using Kafka consumers and a new KIP that promises to make consumer restarts much smoother. EPISODE LINKS<ul><li><a href="https://cwiki.apache.org/confluence/display/KAFKA/KIP-345%3A+Introduce+static+membership+protocol+to+reduce+consumer+rebalances" rel="noopener noreferrer">KIP-345: Static consumer membership</a>&nbsp;</li><li><a href="https://cwiki.apache.org/confluence/display/KAFKA/KIP-211%3A+Revise+Expiration+Semantics+of+Consumer+Group+Offsets" rel="noopener noreferrer">KIP-211: Documents the current behavior of offset expiration</a></li><li><a href="https://youtu.be/57Jf_9lrlwA" rel="noopener noreferrer">Watch the video version of this podcast </a> </li></ul>

Ask Confluent #12: In Search of the Lost Offsets

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.

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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.

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Ask Confluent #12: In Search of the Lost Offsets

Ask Confluent #12: In Search of the Lost Offsets

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