After several years of development, librdkafka has finally reached 1.0! It remains API compatible with older versions of the library, so you won’t need to make any changes to your application. There are, however, several important new features like the idempotent producer, sparse broker connections, support for the vaunted KIP-62 and a complete makeover for the C#/.NET client. EPISODE LINKS<ul><li><a href='https://github.com/edenhill/librdkafka/releases/tag/v1.0.0'>librdkafka v1.0.0 release notes</a></li></ul> <h1> </h1>

After several years of development, librdkafka has finally reached 1.0! It remains API compatible with older versions of the library, so you won’t need to make any changes to your application. There are, however, several important new features like the idempotent producer, sparse broker connections, support for the vaunted KIP-62 and a complete makeover for the C#/.NET client. EPISODE LINKSlibrdkafka v1.0.0 release notes

After several years of development, librdkafka has finally reached 1.0! It remains API compatible with older versions of the library, so you won’t need to make any changes to your application. There are, however, several important new features like the idempotent producer, sparse broker connections, support for the vaunted KIP-62 and a complete makeover for the C#/.NET client. EPISODE LINKS<ul><li><a href="https://github.com/edenhill/librdkafka/releases/tag/v1.0.0" rel="noopener noreferrer">librdkafka v1.0.0 release notes</a></li></ul>

Magnus Edenhill on librdkafka 1.0

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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Magnus Edenhill on librdkafka 1.0

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