Thanks for organising the release! -- Matthew de Detrich Aiven Deutschland GmbH Immanuelkirchstraße 26, 10405 Berlin Amtsgericht Charlottenburg, HRB 209739 B
Geschäftsführer: Oskari Saarenmaa & Hannu Valtonen m: +491603708037 w: aiven.io e: matthew.dedetr...@aiven.io On 2. Aug 2022, 01:46 +0200, David Arthur <davidart...@apache.org>, wrote: > The Apache Kafka community is pleased to announce the release for > Apache Kafka 3.2.1 > > This is a bugfix release with several fixes since the release of > 3.2.0. A few of the major issues include: > > * KAFKA-14062 OAuth client token refresh fails with SASL extensions > * KAFKA-14079 Memory leak in connectors using errors.tolerance=all > * KAFKA-14024 Cooperative rebalance regression causing clients to get stuck > > > All of the changes in this release can be found in the release notes: > > https://www.apache.org/dist/kafka/3.2.1/RELEASE_NOTES.html > > > You can download the source and binary release (Scala 2.12 and 2.13) from: > > https://kafka.apache.org/downloads#3.2.1 > > --------------------------------------------------------------------------------------------------- > > > Apache Kafka is a distributed streaming platform with four core APIs: > > ** The Producer API allows an application to publish a stream of > records to one or more Kafka topics. > > ** The Consumer API allows an application to subscribe to one or more > topics and process the stream of records produced to them. > > ** The Streams API allows an application to act as a stream processor, > consuming an input stream from one or more topics and producing an > output stream to one or more output topics, effectively transforming > the input streams to output streams. > > ** The Connector API allows building and running reusable producers or > consumers that connect Kafka topics to existing applications or data > systems. For example, a connector to a relational database might > capture every change to a table. > > > With these APIs, Kafka can be used for two broad classes of application: > > ** Building real-time streaming data pipelines that reliably get data > between systems or applications. > > ** Building real-time streaming applications that transform or react > to the streams of data. > > > Apache Kafka is in use at large and small companies worldwide, > including Capital One, Goldman Sachs, ING, LinkedIn, Netflix, > Pinterest, Rabobank, Target, The New York Times, Uber, Yelp, and > Zalando, among others. > > A big thank you for the following 19 contributors to this release! > > Akhilesh Chaganti, Bruno Cadonna, Christopher L. Shannon, David > Arthur, Divij Vaidya, Eugene Tolbakov, Guozhang Wang, Ismael Juma, > James Hughes, Jason Gustafson, Kirk True, Lucas Bradstreet, Luke Chen, > Nicolas Guyomar, Niket Goel, Okada Haruki, Shawn Wang, Viktor > Somogyi-Vass, Walker Carlson > > We welcome your help and feedback. For more information on how to > report problems, and to get involved, visit the project website at > https://kafka.apache.org/ > > > Thank you! > > Regards, > David Arthur
